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-09 Data Mining Machine Learning Data Analytics Big Data Computing BDCAT 2020 2020-12-07 → 2020-12-10 Data Mining Machine Learning Data Analytics Big Data

Symposium on Big Data Computing Data Mining Machine Learning Data Analytics Big Data Computing BDCAT - IEEE/ACM International Conference on Big Data Computing

Symposium on Big Data Computing Data Mining Machine Learning Data Analytics Big Data Computing BDCAT - IEEE/ACM International Conference on Big Data Computing

Conference on Distributed Event-Based Systems Distributed Computing Data Analytics DISC - International Symposium on Distributed Computing Distributed

2018-06-25 → 2018-06-29 Distributed Computing Data Analytics DEBS 2017 2017-06-19 → 2017-06-23 Distributed Computing Data Analytics DEBS 2016 2016-06-20 → 2016-06-24

-10 Data Mining Machine Learning Data Analytics Big Data Computing BDCAT 2019 2019-12-02 → 2019-12-05 Data Mining Machine Learning Data Analytics Big Data

List BigDF 2016 2016-12-19 → 2016-12-19 Data Mining Machine Learning High-Performance Computing Big Data Analytics

2016-09-21 → 2016-09-21 Machine Learning High Performance Computing Big Data Data Analytics

2023 2023-08-28 → 2023-08-30 Big Data Analytics Knowledge Discovery DaWaK 2022 2022-08-22 → 2022-08-24 Big Data Analytics Knowledge Discovery DaWaK 2021

High Performance Computing Big Data Data Analytics Big Data for Health 2016 2016-08-11 → 2016-08-11 Data Science Big Data Health Medicine BigComp Workshop

-09 Data Mining Machine Learning Data Analytics Big Data Computing BDCAT 2021 2021-12-06 → 2021-12-09 Data Mining Machine Learning Data Analytics Big Data

SafettBehavioural SafetyBenchmarksBig DataBig Data AnalyticsBig Data ComputingBig Data ScienceBig Data SystemsBig Social DataBio-InformaticsBio-Inspired Meth

2023 2023-08-28 → 2023-08-30 Big Data Analytics Knowledge Discovery DaWaK 2022 2022-08-22 → 2022-08-24 Big Data Analytics Knowledge Discovery DaWaK 2021

2017-03-07 → 2017-03-09 Analytics Warranty Extended Warranty Service Contract Big EMPS 2016 2016-12-05 → 2016-12-08 Machine Learning Big Data Analytics BDSG 2016 2

2016-12-22 → 2016-12-24 Information Security Biomedical Informatics Web Data Analytics

Assessment Cyber Risk Management Cyber Training Technologies Cyber Security Data Analytics

Security Data Security APF 2015 2015-10-07 → 2015-10-08 Information Security Data Security APF 2014 2014-05-20 → 2014-05-21 Information Security Data Security

2015-12-07 → 2015-12-10 Data Mining Machine Learning Data Analytics Big Data Computing BDC 2014 2014-12-08 → 2014-12-11 Data Mining Machine Learning Data Analytics Big Data

Energy Renewable Energy BDSG 2016 2016-12-05 → 2016-12-08 Energy Big Data Analytics Smart Grid BETCON 2016 2016-10-27 → 2016-10-29 Computer Science Robotics

2023 2023-08-28 → 2023-08-30 Big Data Analytics Knowledge Discovery DaWaK 2022 2022-08-22 → 2022-08-24 Big Data Analytics Knowledge Discovery DEXA 2022

2017 2017-06-04 → 2017-06-08 High Performance Computing Manufacturing Data Analytics Process Monitoring ICCMST 2017 2017-05-12 → 2017-05-14 Robotics Manufacturing

Energy Power Smart Grid BDSG 2016 2016-12-05 → 2016-12-08 Energy Big Data Analytics Smart Grid SmartGridComm 2016 2016-11-06 → 2016-11-09 Smart Grid e-Energy

Sciences Event Series Events List SDABBI 2017 2017-04-03 → 2017-04-05 Data Science Big Data Bioinformatics Biomedical Informatics ICIT 2016 2016-12-22 → 2016-12-24

Computing BigDF 2016 2016-12-19 → 2016-12-19 Data Mining Machine Learning High-Performance Computing Big Data Analytics ICAC 2016 2016-07-18 → 2016-07-22 High-Performance

-10 Computer Science Data Science Applied Mathematic SODA 2023 2023-01-22 → 2023-01-25 Computer Science Algorithm Data Analytics Applied Mathematic SODA

-10 Computer Science Data Science Applied Mathematic SODA 2023 2023-01-22 → 2023-01-25 Computer Science Algorithm Data Analytics Applied Mathematic SODA

2017 2017-06-04 → 2017-06-08 High Performance Computing Manufacturing Data Analytics Process Monitoring

user interfaces Analytics, discovery and learning Mixed-type data analytics Mixed-structure data analytics Big data modeling and analytics Multimedia/stream/text/visual

2023-01-22 → 2023-01-25 Computer Science Algorithm Data Analytics Applied Mathematic SDM 2022 2022-04-28 → 2022-04-30 Data Mining Data Science APOCS 2022 2022-01-12 → 2022-01-12

for Big Data Intelligence Data Warehouses, Data Lakes Big Data Storage and Indexing Big Data Analytics: Algorithms, Techniques, and Systems Big Data Quality

CONTRIBUTIONS Data Analytics Applications in Gaming and Entertainment https://gdmbook.wordpress.com/ This is a call for contributions for the *Data Analytics Applications

not limited to: 1. Big Data Science - Big Data Analytics - Data Science Models and Approaches - Algorithms for Big Data - Big Data Search and Information

Assessment Cyber Risk Management Cyber Training Technologies Cyber Security Data Analytics

Assessment Cyber Risk Management Cyber Training Technologies Cyber Security Data Analytics

Assessment Cyber Risk Management Cyber Training Technologies Cyber Security Data Analytics

Country Italy (IT) Academic Field Applied Mathematic, Computer Science, Data Analytics, Algorithm Official Website https://siam.org/conferences/cm/conference/soda23

25th International Conference on Big Data Analytics and Knowledge Discovery Ordinal 25 Event Series DaWaK - Data Warehousing and Knowledge Discovery Start

Event Acronym Big EMPS 2016 Title Big EMPS 2016 : Workshop on Big Data and Analytics for Emergency Management and Public Safety Start Date 2016-12-05 End

20th International Conference on Big Data Analytics and Knowledge Discovery Ordinal 20 Event Series DaWaK - Data Warehousing and Knowledge Discovery Start

Algorithm SODA 2023 2023-01-22 → 2023-01-25 Computer Science Algorithm Data Analytics Applied Mathematic ALENEX 2023 2023-01-22 → 2023-01-23 Algorithm ESA

21st International Conference on Big Data Analytics and Knowledge Discovery Ordinal 21 Event Series DaWaK - Data Warehousing and Knowledge Discovery Start

(ES) Academic Field High Performance Computing, Machine Learning, Data Analytics, Big Data Official Website hpcadvisorycouncil.com/events/2016/spain-conference/

23rd International Conference on Big Data Analytics and Knowledge Discovery Ordinal 23 Event Series DaWaK - Data Warehousing and Knowledge Discovery Start

Country United States of America (US) Academic Field Data Analytics, Data Mining, Machine Learning, Big Data Computing Official Website https://bdcat-conference

Mode on site City Hyderabad Country India (IN) Academic Field Big Data Analytics, Data Mining, High-Performance Computing, Machine Learning Official Website

Country United States of America (US) Academic Field Manufacturing, Data Analytics, High Performance Computing, Process Monitoring Official Website http://www

structure data analytics. * Cross-media data analytics. * Big data visualization, modeling and analytics. * Multimedia/stream/text/visual analytics. * Relation

City Shanghai Country China (CN) Academic Field Data Analytics, Data Mining, Machine Learning, Big Data Computing Deadlines Organizer Venue Shanghai, China

Zürich Country Switzerland (CH) Academic Field Data Analytics, Data Mining, Machine Learning, Big Data Computing Deadlines Organizer Venue Zürich, Switzerland

Auckland Country New Zealand (NZ) Academic Field Data Analytics, Data Mining, Machine Learning, Big Data Computing Deadlines Organizer Venue Auckland, New

City Limassol Country Cyprus (CY) Academic Field Data Analytics, Data Mining, Machine Learning, Big Data Computing Deadlines Organizer Venue Limassol, Cyprus

Britain and Northern Ireland (GB) Academic Field Data Analytics, Data Mining, Machine Learning, Big Data Computing Deadlines Organizer Venue London, United

Title 24th International Conference on Big Data Analytics and Knowledge Discover Ordinal 24 Event Series DaWaK - Data Warehousing and Knowledge Discovery Start

City Florida Country United States of America (US) Academic Field Big Data, Data Mining, Information Retrieval, Text Mining Official Website http://www

Britain and Northern Ireland (GB) Academic Field Data Analytics, Data Mining, Machine Learning, Big Data Computing Official Website https://www.cs.le.ac

Britain and Northern Ireland (GB) Academic Field Data Analytics, Data Mining, Machine Learning, Big Data Computing Official Website https://www.cs.le.ac

(IN) Academic Field Biomedical Informatics, Information Security, Web Data Analytics Official Website http://www.oits-icit.org Deadlines 2016-09-10 2016-08-05

Scale Security Data Threat Detection using Big Data Analytics Privacy Preserving Big Data Collection/Analytics HCI Challenges for Big Data Security & Privacy

Scale Security Data Threat Detection using Big Data Analytics Privacy Preserving Big Data Collection/Analytics HCI Challenges for Big Data Security & Privacy

of the ACM Special Interest Group on Data Communication Event Series SIGCOMM - ACM Special Interest Group on Data Communications Start Date 2017-08-21

areas of data mining, knowledge discovery, and large-scale data analytics, including, but not limited to: Big Data: Efficient and distributed data mining

all areas of data mining, knowledge discovery, and large-scale data analytics, including, but not limited to: - Big Data: Distributed data mining and machine

Language Data Language data portals Language data construction, acquisition and management Crowdsourcing of language data Metadata about language data Multilingual

Title IEEE International Conference on High Performance computing, Data & Analytics Ordinal 28 Event Series HiPC - International Conference on High Performance

Scalable algorithms for big data Big data analytics Data stream analytics Parallel & distributed computing for big data analytics (cloud, map-reduce, etc.) Online

Region Capital Region of Denmark Country Denmark (DK) Academic Field Data Analytics, Distributed Computing Official Website https://2022.debs.org/ DOI https://doi

systems Business intelligence systems Data analytics and decision support systems Databases for business Big Data for business Application areas Healthcare

Ole-Johan Dahls hus City Oslo Region Oslo Country Norway (NO) Academic Field Data Analytics, Distributed Computing Official Website https://2015.debs.org/ Deadlines

City Hamilton Region Waikato Country New Zealand (NZ) Academic Field Data Analytics, Distributed Computing Official Website https://2018.debs.org/ DOI https://doi

Vèrtex City Barcelona Region Catalonia Country Spain (ES) Academic Field Data Analytics, Distributed Computing Official Website https://2017.debs.org/ DOI https://doi

Berlin City Berlin Region Berlin Country Germany (DE) Academic Field Data Analytics, Distributed Computing Official Website http://www.csw.inf.fu-berlin

India (IN) Academic Field Data Analytics, Distributed Computing Deadlines organization Special Interest Group on Management of Data, Association for Computing

Scale Security Data Threat Detection using Big Data Analytics Privacy Preserving Big Data Collection/Analytics HCI Challenges for Big Data Security & Privacy

Event Acronym BDAC 2016 Title BDAC 2016 : IEEE Big Data Analytics Competition Start Date 2016-10-13 End Date 2016-10-14 Status as scheduled Mode on site

Region California Country United States of America (US) Academic Field Data Analytics, Distributed Computing Official Website https://2016.debs.org/ DOI https://doi

United Kingdom of Great Britain and Northern Ireland (GB) Academic Field Data Analytics, Distributed Computing Official Website http://debs10.doc.ic.ac.uk/

Knowledge • Data governance • Knowledge representation and semantic knowledge management • Data modeling • Data quality • Data value assessment • Data integration

Region California Country United States of America (US) Academic Field Data Analytics Deadlines Organizer Venue San Diego, California, United States of America

submissions that fall in the domain of Web, information systems, data analytics, and knowledge and data engineering. The decision on acceptance/rejection of workshop

engineering and metadata management Ontology-based data management, linked data management, semantic big data management Governance aspects such as workflows

Semantic web Data modeling, mining and data analytics Data modeling, aggregation, integration, and transformation Web and text mining Data mining methods

Engineering and Computing Open Source EIS Cloud Computing Services Big Data Analytics Knowledge Management Governance and Decision Making in EIS Business

limited to: Data governance Knowledge representation and semantic knowledge management Data modeling Data quality Data value assessment Data integration

Techniques for Positioning Data Processing • Privacy Preserving LBS • Privacy Preserving Location Sharing • Privacy Preserving Data Analytics • Privacy Preserving

and Bioinformatics of Disease 5.a. Data Mining, Machine Learning, and Artificial Intelligence 5.b. Big Data Analytics 5.c. High Performance Computing 5

Software Infrastructure for Data Analytics Distributed Multimedia Systems and Cloud Computing Data Management Multimedia Data Collections, Modeling, Indexing

Business Analytics • Customer Analytics • Financial Analytics • Bioinformatics • Talent Analytics • Information Analytics • Marketing Analytics • Operations

Region New York Country United States of America (US) Academic Field Data Analytics, Distributed Computing Official Website http://debs2011.fzi.de/ DOI

electronic biomedical data in order to better understand and explain complex biological systems. The biomedical data repositories include data in a wide variety

Real-time data processing algorithms  Real-time data processing architectures and systems  Using FPGA, GPU, ASIC technologies for high performance data analytics

applications, migration to/from the Cloud, Cloud Integration - Composable Big Data Analytics Pipelines - Applications, frameworks, methods, tool demonstrations,

Large-Scale Data Processing (stream processing, handling large-scale graphs) Data Analytics (Machine Learning, Predictive Analytics, Network Analytics) Communicating

limited to: 1. AI and Big Data Analytics: Artificial intelligence, Knowledge Representation, Machine Learning, Uncertainty. Big data, Data Mining, Information

ure integration Transportation Infrastructure Sensing Big Data Mining and Analytics Big Data Processing and Querying Intelligent infrastructure Track II:

Computational Intelligence Cyber Physical Systems Data Analytics Data/Web Mining and Knowledge Discovery Data Science Deep Learning Evolutionary Computation

forecasting » data analytics and visualization » social networks mining and analysis » Data management and web engineering » fuzzy data modeling » databases

theft and data falsification -Encryption together with linked and semantic data -Digital signatures together with linked and semantic data -Data transparency

Communities, social media and demographics Model development & validation QoE data analytics Databases for QoE and UX research Organizing Committee: General Chairs

Advanced Methods for Big Data Analytics in Women's Health Achieving Trustworthy Biomedical Data Pattern Recognition in Biomedical Data for Discovery What about

using AI Big Data Analytics for Revenue Management Geo-marketing Sentiment analysis and application to the hospitality industry Big Data Analytics Tourism Recommender

and engineering - Web mining and knowledge extraction - Web Big Data and Web data analytics - Mobile Web applications - Web of Things applications - Social

engineering and metadata management • Ontology-based data management, linked data management, semantic big data management • Processes, workflows, roles and responsibilities

25th IEEE International Conference on High Performance Computing, Data and Analytics Ordinal 25 Event Series HiPC - International Conference on High Performance

Immersive technologies and content creation. QoE and content creation. QoE data analytics. Databases for QoE research. Emerging Special Session Topics VPQM relevant

Semantic web Data modeling, mining and data analytics Data modeling, aggregation, integration, and transformation Web and text mining Data mining methods

Title IEEE International Conference on High Performance Computing, Data, and Analytics Ordinal 24 Event Series HiPC - International Conference on High Performance

26th IEEE International Conference on High Performance Computing, Data, and Analytics Ordinal 26 Event Series HiPC - International Conference on High Performance

introduce and implement new technology (such as artificial intelligence, data analytics, virtual reality, rapid machining, rapid testing, and additive manufacturing)

not show the exact location. Machine learning and big data analytics, Knowledge discovery and data mining, Biomedical ontologies and terminologies, Biomedical

Big data analytics for cybersecurity Resilient cyber infrastructure design and protection Data Science and Analytics in Security Informatics: Data representation

containers and virtual machines; system software supporting data management, scalable data analytics, machine learning, and deep learning; specialized operating

computing security • Big data analytics for cybersecurity • Resilient cyber infrastructure design and protection Data Science and Analytics in Security Informatics:

Linked Data & Data Integration Knowledge Discovery & Intelligent Search Business Models, Governance & Data Strategies Big Data & Text Analytics Data Portals

Bayesian networks Big data analytics Bioinformatics Bio-inspired intelligence Cognitive systems Cognitive computing Constraint satisfaction Data mining and knowledge

Venue is missing. The map might not show the exact location. Big Data, Data Analytics, and Business Intelligence Enterprise Systems & Knowledge Management

Highly-Reliable Systems Machine Learning, Vision and Graphics Chips Data Analytics and Big Data Processing IoT and Always-On Functions Custom Chips for Emerging

and systems for big data Data mining, graph mining and data science Infrastructure and platform for smart computing Big data analytics and social media Hardware/software

software, including enterprise data, linked data & open data strategies, methodologies in knowledge modelling and text & data analytics. The SEMANTiCS community

missing. The map might not show the exact location. Big Data, Business Intelligence, and Data Analytics Enterprise Systems and Knowledge Management ICT Design

intelligent data Visualization in intelligent data Big data analytics and applications in mobile cloud computing Green cloud computing and big data Committee

reports on big data and smart computing. Relevant Topics Techniques, models and algorithms for big data Tools and systems for big data Data mining, graph

Discovery: Machine Learning Deep Learning Data Mining Process Mining Data Analytics Topic 3: Semantic Web and Linked Open Data: Web Architecture Tools Vocabularies

The topics of the workshop include but are not limited to: Big Data analytics workflows Data-driven workflow processing (including stream-based workflows)

Blockchain and Transformational Government From Data Intelligence to Data Impacts: Tackling Public Problems with Data Social Media and Government Maturity and

Big Data Track focuses on practices and methods of transparency, accountability, public big data sharing, data for improving public value and data analytics

Applications: Big Data, Data Analytics, Computational Science & Engineering Architecture: Processor, Memory, I/O, Network, Instruction-/Thread-/Data-Level Parallelism

scholarly documents and data Analytics: - Assessing the quality and/or trust of scholarly data - Pattern discovery of scholarly data - Citation analysis and

or published data are not misused; how to ensure that data processing does not disclose any sensitive information; how to store the data securely for privacy

systems Auditing and provenance Big data, analytics, and data sciences Caching, replication, and consistency Cloud storage Data deduplication Database storage

Multi-Databases Data and Information Networks Data and Information Semantics Data Integration, Metadata Management, and Interoperability Data Structures and

systems Auditing and provenance Big data, analytics, and data sciences Caching, replication, and consistency Cloud storage Data deduplication Database storage

software-defined service middleware -Data analytics and data services in and for SOC-based systems -IoT and data marketplaces -Smart data and service contracts -Cognitive

systems Auditing and provenance Big data, analytics, and data sciences Caching, replication, and consistency Cloud storage Data deduplication Database storage

image analysis Early detection and diagnosis of diseases Big data analytics in healthcare Data mining with interpretable models Enhanced imaging diagnostics

dependability Cloud computing systems and data centers Edge computing systems Distributed big data systems and analytics Parallel and distributed file and storage

runtimes, and hardware for “big data” scenarios with a focus on high-performance data analytics, including scalable data structures, dealing with large

Resilient cyber infrastructure design and protection Data Science and Analytics in Security Informatics: Data representation and fusion for security informatics

Multi-Databases Data and Information Networks Data and Information Semantics Data Integration, Metadata Management, and Interoperability Data Structures and

Technologies. COMPUTATIONAL INTELLIGENCE AND BIG DATA ANALYTICS: Soft computing, knowledge discovery and data mining, machine learning, computational biology

scholarly data. Data Management Data models for the description and the linking of scholarly data Curation, annotation, and provenance of scholarly data Description

Cloud computing and data centers Dependable distributed algorithms and systems Design and analysis of concurrent and distributed data structures Design and

behaviours Impact of big data on the development of Web Science Web Science approaches to data science, data analytics, and the Web of data Detecting, preventing

Social and Semantic Web applications Web of Things applications Big Data and data analytics Security, privacy, and identity on the Web Web standards All submitted

Mobility Research Human Factors BigDataService 2024 2024-07-15 → 2024-07-18 China (CN) Computer Science Big Data Science Big Data ECM 2024 2024-07-15 → 2024-07-19

following areas: Data and information acquisition and preprocessing (e.g., data crawling, IoT data, data quality, data privacy, mitigating biases, data wrangling)

Warning: Venue is missing. The map might not show the exact location. Big data analytics and business intelligence Blockchain and smart technologies Collaborative

Visual Analytics IEEE Visualization 2017 2017-10-01 → 2017-10-06 Visual Analytics DAVA 2016 2016-10-24 → 2016-10-28 Data Mining Visual Analytics

and Algorithms Big Data Analytics and Metrics Representation Formats for Big Data Big Data Semantics and Knowledge Organization Big Data Architectures Cloud

Environments and Services - Cyber-Physical Systems and Embedded Systems - Big Data Analytics, Artificial Intelligence Applications and Machine Learning techniques

modeling and engineering Web mining and knowledge extraction Web Big Data and Web data analytics Mobile Web applications Web of Things applications Social Web

the Web of Data using the Web of Data as background knowledge in data mining techniques and methodologies for Linked Data mining and analytics application

Information Technologies, Data Science & Applications Information retrieval and access technologies to digital libraries content Data mining and information

Intelligence Conference Data Science Communication Technology DSAA - IEEE International Conference on Data Science and Advanced Analytics Data Science FASE - International

international workshop covering research in data privacy management. DPM 2017, the 12th International Workshop on Data Privacy Management, will be held in Oslo

Behavioural Learning Analytics Using analytics to inform design • Discourse analysis (approaches to qualitative data) • Using analytics to inform more effective

2017-04-20 → 2017-04-21 Data Mining Learning Analytics Educational Data Mining LAK 2017 2017-03-13 → 2017-03-17 Learning Analytics LAK 16 2016-03-25 → 2016-03-29

Where and how can we find statistics data: data catalogues, dataset descriptions, data discovery? How do we assess data quality (collection methodology, traceability

architecture acceleration. * Modeling and simulation for big data and big data analytics. * Simulation infrastructure and security issues for large scale

Smart Data Business Intelligence Linked (Open) Data Big Data analytics graph analytics real-time Big Data analysis data models for Big & Smart Data business

where we consider scholarly data in the broad sense (from bibliographic data, to experimental data and software): Semantics Data models (e.g., ontologies

alphabetical order: Challenge track Mathieu d’Aquin (Insight Centre for Data Analytics, Ireland) Elena Cabrio (Univ. Nice, France) Developers Amy Guy (Univ

Processing; Computer Vision; Communications Systems and Cyber Security; Data Mining & Analytics; Dynamic and Uncertain Environments; Vehicle and Transportation;

- Distributed storage and file systems, large-scale systems, and big data analytics - Dependable distributed algorithms and systems - Self-stabilization

and integrating linked data Querying and consuming linked data Facilitating data reuse both technically and legally (Linked Open Data) Information extraction

-27 Learning Analytics LAK 2019 2019-03-04 → 2019-03-08 Learning Analytics Knowledge LAK 2018 2018-03-05 → 2018-03-09 Learning Analytics Knowledge LAK

semi-structured, and structured data - Mining temporal, spatial, spatio-temporal data - Mining data streams and sensor data - Mining multimedia data - Mining social network

on Educational Data Mining Data Mining Computer-Based Learning Educational Data Mining Events List EDM 2023 2023-07-11 → 2023-07-14 Data Mining Computer

but are not limited to: - Affective and aesthetic interfaces - Big Data and analytics - Collaborative interfaces - Education and learning-related technologies

(Semantic) Data Dataset Dynamics and Synchronization Big Data Computing User Interfaces and Visualization for the Web of (Linked Semantic) Data at Scale

education Opening and linking educational data Ontology models and semantic standards for educational data Visual analytics for educational resources represented

Information Retrieval EAST - FLAIRS 2017 2017-05-22 → 2017-05-24 Data Mining Information Retrieval Big Data Text Mining EACL SRW 2017 2017-04-03 → 2017-04-07 Artificial

Web LD4 - LD4 Conference on Linked Data Semantic Web Digital Libraries Library Science Linked Data LDOW - Linked Data on the Web Semantic Web LSWT - Leipziger

Service (PaaS), and Infrastructure as a Service (IaaS) Data Warehouse Systems Big Data and Analytical Systems NoSQL and Other Emerging Database Technologies

Education Computer-Based Learning EDM - International Conference on Educational Data Mining Computer-Based Learning ICCE - International Conference on Computers

Event Series Events List BAFI 2016 2016-08-25 → 2016-08-25 Data Science Business Analytics

all types of resources including data, document, tool, device, process and people. The scope of SC includes analytics, semantics description languages

language and speech processing Generation of multimodal content Big Data and analytics Smart environments and tangible computing Intelligent assistants for

2018-06-26 → 2018-06-28 L@S 2017 2017-04-20 → 2017-04-21 Data Mining Learning Analytics Educational Data Mining Learning@Scale Conference LearningatScale Confernce

Acronym MLSA Title International Workshop on Machine Learning and Data Mining for Sports Analytics Recurrence Period 1 Recurrence Unit year Related Identifiers

techniques may be in place for data-driven and deeper data analysis. In addition to the quantitative and qualitative challenges, data pressure in systems and

in Play Human Computer Interaction CI - Collective Intelligence Conference Data Science Communication Technology CSCW - ACM Conference on Computer-Supported

Learning in Real and Virtual Environments Workshop: Sharing and Reusing Data and Analytic Methods with LearnSphere Workshop: How Do We Unleash AIEd at Scale

on Consuming Linked Data WF-IoT - IEEE World Forum on Internet of Things DSDE - International Conference on Data Storage and Data Engineering ADCO - International

2016 Title DAVA 2016 : 2nd International Workshop on DAta mining meets Visual Analytics at big data era In Conjunction with CIKM 2016 Start Date 2016-10-24

construction, data lakes, large-scale analytics) Data and information acquisition and preprocessing (e.g., data crawling, data quality, data privacy, data wrangling)

on Big Data in Smart Grids Start Date 2016-12-05 End Date 2016-12-08 Status as scheduled Mode on site City Washington DC Academic Field Analytics, Big Data

Non-relational, and other Modern Data Models Information Integration and Data Quality Data Cleaning, Data Discovery and Data Exploration Heterogeneous and

and Machine Learning Robotic Process Automation  (RPA) Big Data, Data Science and Analytics Blockchain applications in IS Simulation and Digital Twins 

United States of America (US) Academic Field Educational Data Mining, Data Mining, Learning Analytics Official Website http://learningatscale.acm.org/las2017/

Management of large-scale data systems Streaming data analysis Data models and query languages Scalable data analysis and analytics Database monitoring and

Conference on Data Science and Advanced Analytics Event Series DSAA - IEEE International Conference on Data Science and Advanced Analytics Start Date 2019-10-05

and Data Mining for Sports Analytics Ordinal 9 Event Series MLSA - International Workshop on Machine Learning and Data Mining for Sports Analytics Date

Conference on Data Science and Advanced Analytics Event Series DSAA - IEEE International Conference on Data Science and Advanced Analytics Start Date 2020-10-06

Theory Online Learning, Data Stream Mining, and Dynamic Data Mining Graph Mining and Semi-Structured Data patial and Temporal Data Mining Deep Learning and

Mode on site City Santiago Academic Field Business Analytics, Data Science Official Website http://www.bafi.cl Deadlines Organizer Venue Santiago Loading

and web-analytics applications can benefit greatly from using additional information about user's behaviour. Implicit or explicit feedback data based on

collaboration Social computing Customer analytics Big data application in IS Application of AI in IS Data and business analytics Use of new visualization techniques

and Data Mining for Sports Analytics Ordinal 8 Event Series MLSA - International Workshop on Machine Learning and Data Mining for Sports Analytics Date

Graph Data Management, Social Networks, Recommendation Systems. Data Mining and Analytics, Warehousing. Crowdsourcing, Embedded and Mobile Databases, Real-time

International Conference on Knowledge Discovery and Data Mining Event Series KDD - Knowledge Discovery and Data Mining (KDD) Start Date 2008-08-24 End Date 2008-08-27

or ongoing work are invited. Analytics (from contents to semantics) Structured data image and video audio and speech big data natural language deep learning

Distributed, P2P Systems Scientific Data and Data Visualization Security, Privacy, Authenticated Query Processing Data Warehouses, OLAP, Business Intelligence

International Conference on Compute and Data Analysis 2022-02-25 DSDE 2022 DSDE - International Conference on Data Storage and Data Engineering 2022-02-25 AANN 2022

semi-structured data, and mining temporal, spatial and multimedia data - Mining data streams - Mining spatio-temporal data - Mining with data clouds and Big

applications in IS Application of AI and big data in IS Robotic Process Automation Digital twins Data and business analytics IS for collaboration and social computing

structured data image and video audio and speech user-generated content big data natural language deep learning Description and Integration (of data and services)

urban informatics data 5.Knowledge and non-obvious relation extraction across multiple social media data sources for urban analytics 6.Handling noisy social

handling sparsely sampled data (missing data), and noisy data * Distributed Multimedia Mining Algorithms o Multi-Modal and Distributed Data Source Mining Algorithms

real-time analytics, complex event processing, event processing for AI/ML, event processing in big and fast data, publish/subscribe, data stream processing

edition of DILS will focus on Big life science data coming from diverse data sources, e.g., genomic data collections, biomedical literature, or clinical

dimensional data Mining uncertain data Mining imbalanced data Mining dynamic/streaming data Mining behavioral data Mining multi-media data Mining scientific

dimensional data ● Mining uncertain data ● Mining imbalanced data ● Mining dynamic/streaming data ● Mining behavioral data ● Mining multi-media data ● Mining

trustworthy event-based systems, real-time analytics, intelligent event processing, event processing in big and fast data, data stream processing, security and encryption

dynamic/streaming data Mining graph and network data Mining heterogeneous/multi-source data Mining high dimensional data Mining imbalanced data Mining multi-media

and design, infrastructures, etc. Analytics for Information Retrieval: theoretical and practical results in the analytics field that are specifically targeted

Future Life" Data and information acquisition and preprocessing Integration and aggregation Infrastructures Special data processing Multi-modal data and knowledge

resource including data, document, tool, device, process and people. The scope of ICSC2020 includes, but is not limited to, analytics, semantics description

International Conference on Data Storage and Data Engineering 2022-02-25 ICCDA 2022 ICCDA - International Conference on Compute and Data Analysis 2022-02-25 ICCBN

Event Acronym VDMA 2008 Title International Symposium of Visual Data Mining and Analytics Start Date 2008-07-09 End Date 2008-07-11 Status as scheduled Mode

678478,"lon":23.3212153,"icon":""}],"imageoverlays":null} Topics Advanced Analytics Artificial Intelligence Autonomous and Organic Computation Bio-Inspired

Distributed data platforms, including Cloud data systems, key-value stores, and Big Data systems Information extraction and integration Streaming data analysis

(Socio) Physical Systems Data and Business Analytics Domain Specialization Industry 4.0 Internet of Things, Services and Data Monitoring of System Execution

evaluation Crowd sourcing Data models, semantics, query languages Data provenance Data visualization Data warehousing, OLAP, SQL Analytics Database monitoring

and Data Mining for Sports Analytics Ordinal 7 Event Series MLSA - International Workshop on Machine Learning and Data Mining for Sports Analytics Date

and Data Mining for Sports Analytics Ordinal 6 Event Series MLSA - International Workshop on Machine Learning and Data Mining for Sports Analytics Date

and Data Mining for Sports Analytics Ordinal 1 Event Series MLSA - International Workshop on Machine Learning and Data Mining for Sports Analytics Date

and Data Mining for Sports Analytics Ordinal 2 Event Series MLSA - International Workshop on Machine Learning and Data Mining for Sports Analytics Date

and Data Mining for Sports Analytics Ordinal 5 Event Series MLSA - International Workshop on Machine Learning and Data Mining for Sports Analytics Date

and Data Mining for Sports Analytics Ordinal 3 Event Series MLSA - International Workshop on Machine Learning and Data Mining for Sports Analytics Date

and Data Mining for Sports Analytics Ordinal 4 Event Series MLSA - International Workshop on Machine Learning and Data Mining for Sports Analytics Date

a large set of complex data affected by great level of noise, represented by non-pertinent, untrustworthy or even malicious data. Trust and Recommender

concepts of data science, data streams querying etc., are very welcome. This year, FQAS has a special theme: Flexible querying and analytics for smart cities

an interlinked Web of knowledge which spans unstructured text, structured data (e.g. RDF) as well as multimedia content and services requires the collaboration

Interaction for Ontologies and Linked Data Ordinal 3 Event Series VOILA - Visualization and Interaction for Ontologies and Linked Data Start Date 2017-10-22 End Date

change tracking of web data sources cost and benefits of web data quality assessment web data quality assessment benchmarks Web Data Cleansing methods for

influence the lifetime of data and data-sets. In many scientific environments, data-driven analyses are now performed on large volumes of data and multiple sources

but are not limited to: Analytics (from contents to semantics): Structured data, image and video, audio and speech, big data, natural language, deep learning

as Medicine, Nursing, Social Work, Management, Education, Data Science & Business Analytics, Public Health, Information Technology, and Clinical Research

Distributed smart cameras and network architectures Distributed video analytics Data aggregation and information fusion Smart cameras in Internet of Things

and Scope Data intelligence and data security are two closely related views, while data management is the base of both data intelligence and data security

management Data management in clouds Data mining and knowledge discovery Data quality, curation, and provenance Data warehousing, large-scale analytics and ETL

Real-time data management Cloud data management Recommendation systems Data archive and digital library Data mining Search and information retrieval Data model

applications Big data Crowdsourcing Cloud data management Data archive and digital library Data mining Data model and query language Data quality and credibility

Cloud Data Management Systems -New Protocols, Service Interfaces and Data Models for Cloud Databases -Polyglot Persistence, NoSQL, Schemaless Data Modeling

And Streaming Technologies Data Management, Privacy, Security, And Confidentiality Display And Visualization Of Medical Data E-Commerce In Health Informatics

analyses may be analytical or experimental and may address worst-case or expected-case performance. Studies can be theoretical or based on data sets that have

to share their approaches and perspectives on key topics, including analytics and data mining, assessment, credentialing, pedagogy aspects, gamification

g., re-engineering, maintenance, natural language processing, business analytics, semantic web technologies, mobile and pervasive computing etc.). We invite

performance) of Linked Data Technologies for different steps of the Big Linked Data Value Chain can be discussed and elaborated upon. Big Linked Data is entering

with the Enron Data Set and VAST 2007 Contest Data Because of the continued interest generated from the availability of the Enron data set of 1.3 million

are positive or negative. CLEF also welcomes past runs/results/data analysis and new data collections. Methods are expected to be written so that they are

Finance - Education - Entertainment - Analytics and Business Intelligence - Social media - Information Technology - Big Data Semantic Interfaces - Natural language

SIGSPATIAL Workshop on Analytics for Big Geospatial Data (BigSpatial 2017) 3rd ACM SIGSPATIAL Workshop on Smart Cities and Urban Analytics (UrbanGIS 2017) 1st

with words, and granular computing Fuzzy systems with big data and cloud computing, fuzzy analytics, and visualization Fuzzy systems design and optimization

Big multimedia data design and creation Deep learning for multimedia Multimedia search and recommendation Multimedia content analytics Social and cloud-based

analyses may be analytical or experimental and may address worst-case or expected-case performance. Studies can be theoretical or based on data sets that have

solicit research works that are broadly related to data science on employment data, including data cleaning, data normalization, classification, clustering, and

computing, mobile systems, secure and reliable systems, systems aspects of big data, embedded systems, virtualization, networking as it relates to operating

a set of machine learning algorithms that acquire data features and representations by submitting data to possibly multi-layered neural networks. Semantic

retrieval, database management, data science, information filtering, knowledge representation, knowledge discovery, analytics, soft computing, management of

analyses may be analytical or experimental and may address worst-case or expected-case performance. Studies can be theoretical or based on data sets that have

NoSQL and NewSQL Databases Big Data and Conceptual Modeling Data Warehousing, Data Mining, Business Intelligence and Analytics Spatial, Temporal, and Multimedia

Information Retrieval Data Grids, Data and Information Quality Big Data Management Temporal and Spatial Databases Data Warehouses and Data Mining Web Mining

Visualization - Visual Analytics - Visual Representations - Visual Analytical Reasoning - Data Representation - Data Transformation - Data Modeling - Interpolation

conference tracks: The Networked Society (Theme Track) Big Data Decision Support Business Analytics and Knowledge Management Business Process Management Cloud

their analytics components and anyone can find out more about free and commercially available UIMA-compliant analytics. Additionally, free analytic tools

Linked Data Provenance Tracking and Exploitation Link and Knowledge Extraction Corporate Memory and Big Data/Linked Data Integration Data Lakes Data Curation

analyses may be analytical or experimental and may address worst-case or expected-case performance. Studies can be theoretical or based on data sets that have

Computer / Robot Interactions & Interfaces Design Science Research Analytics and Data Science IS Development and Implementation Business Models and Digital

information & data visualization, science, geographic information systems, digital globes, subsurface exploration and mining, integrated marine data management

differences; Data brain modeling and formal conceptual models of brain data; Databasing the brain, curating big data, and constructing brain data centers;

Cybernetics * Bio-statistics and data mining * Systems biology * Genomics and proteomics Biosensors and Bio-analytics * High-throughput screening methods

middleware Management of Semantic Web Data Languages, tools and methodologies for representing and managing Semantic Web data Database, IR and AI technologies

sensing and IoT - Smart city frameworks and platforms - Smart city big data and open data - Urban computing for smart city - Smart city system security and

Algorithms and Analytics Ontologies and Reasoning Semantic Search, Question Answering, and Chatbots Graph Databases and Query Languages Linked Data and Semantic

(e.g., business intelligence, analytics, search, content management, knowledge management, recommendation systems, data integration, etc.). We welcome

limited to, the following: - novel geospatial data processing and management mechanisms - spatiotemporal data modelling and reasoning - 3D modelling and GIS

technologies are increasingly becoming researched in what is now known as video analytics, propelled by advances in processing power, embedded computing, IP-networking

services, smart data foundation, Big Data services, Blockchain, and data-intensive computing at the edge and in IoT systems.

Visualisation of temporal and spatial data Human computer interfaces for knowledge and information visualisation Visual Analytics for Knowledge Relationship Discovery

Based Modeling Computer Vision for Computer Graphics Scientific Visualization Data Compression for Graphics Medical Imaging Computation Geometry Image Based

APPLIED Data Mining Conference, featuring real world applications and examples. Beginners to data mining will gain expertise. Experienced data miners will

Physiological measures Self-report and subjective measures Analytic measures Computational and big data measures Neurological measures Mental workload in context

behavior incorporating data mining and/or expert knowledge from behavioral sciences. Data analysis results extracted from clean data of laboratory experiments

high-dimensionality and high data quantity Interesting applications with real world data demonstrating statistically sound data mining Empirical comparisons

Neural net and support vector machine Hybrid and nonlinear system Big data Data mining Signal processing techniques Deep learning Distributed and parallel

Architectures and Paradigms - Event-driven architectures - Big Data (event-processing in Big Data) - Internet of Things (event-processing in M2M) - Basic interaction

foster SAL Information/multimedia retrieval for SAL Learning analytics & educational data mining in Web-based (informal & formal) learning Fairness and

sciences and neuroscience. It is indexed in Web of Science (by Clarivate Analytics, formerly known as Thomson-Reuters). https://www.edusoft.ro/brain/index

spatiotemporal data mining Integrated approaches to multi-source and multimodal data mining Resource-aware techniques to mine streaming spatiotemporal data Spatial

and Metrics - Self-Adaptive Systems - Security and Privacy - Software Analytics - System Modeling and Simulation - Program Comprehension and Visualization

Quality of Service - Security, Privacy and Trust - Business Intelligence and Analytics for Services - Services in the Cloud - XaaS (everything as a service including

semantic Web, Big Data, and network security. Topics of interest for track LHNA Large Network Analysis - methods, algorithms, processes, analytic tools • Graph

with unstructured data and semi-structured data (e.g., XML) * Multimedia data warehouses * Biomedical data warehouses * Data warehousing & OLAP in mobile

information & data visualization, science, geographic information systems, digital globes, subsurface exploration and mining, integrated marine data management

2009-05-18 2009-03-02 organization Special Interest Group on Management of Data, Association for Computing Machinery organization Special Interest Group

backgrounds, including common sense reasoning, natural language processing, data mining, automatic classification, ontology, semantic web, requirements engineering

of computer networks - Performance analysis of software - Performance of data-intensive applications - Tuning of application code - Tuning of system code

Database Services and Applications Data Design, Evolution and Migration Data Management in Computational Science Data Mining Data Quality and Semantics Heterogeneous

Interfaces Interaction Design Tools Interface Metaphors Interfaces for Big Data Interfaces for e-Commerce and e-Branding Interfaces for e-Culture and e-Tourism

research in the implementation and experimental evaluation of algorithms and data structures. We invite submissions that present significant case studies in

design and implementation concerns, including software architecture and core data structures. A regular tool paper should give a clear account of the tool’s

citations. A tool paper should describe the tool's software architecture and core data structures and algorithms, and also give a clear account of its functionality

design and implementation concerns, including software architecture and core data structures. A regular tool paper should give a clear account of the tool's

design and implementation concerns including software architecture and core data structures. A regular tool paper should give a clear account of the tool's

Tracking Research & Applications Psychology Human Computer Interaction Visual Analytics Group - ACM International Conference on Supporting Group Work Human Computer

Database Services and Applications Data Design, Evolution and Migration Data Management in Computational Science Data Mining Data Quality and Semantics Heterogeneous

design and implementation concerns, including software architecture and core data structures. A regular tool paper should give a clear account of the tool’s

Submission due: September 30, 2011 Linked Data-a-thon http://iswc2011.semanticweb.org/calls/linked-data-a-thon/ The Linked Data-a-thon is a competition with specific

Ontologies and Reasoning * Linked Data * Natural Language Processing and Information Retrieval * Semantic Data Management and Data Infraestructures * Social and

AND (NETWORKED) EMBEDDED SYSTEMS: including power supply and management; data integration and fusion; communication modes; quality of service control.

application of internet technologies, multimedia, wireless communications, data privacy and security, authentification, authorization and federation. Computer

exchange data between them. The appearance of new technologies usually comes with a protocol procedure and communication rules that allows data communication

Algorithmic Issues Analytic Methods and Modelling for Performance Evaluation Ad Hoc Network Applications and Architectures Big Data Inspired Data Sensing Delay-Tolerant

scalability, and synchronization Routing and data dissemination Quality of service Energy conservation and management Data processing, storage and management Mobile

computing, mobile systems, secure and reliable systems, systems aspects of big data, embedded systems, virtualization, networking as it relates to operating

RFID, GSM, GPRS, 3G Digital Pens, PDAs, Mobile Phones, VoIP, Video, Voice, Data, other devices) for improvement of our human lives, not just organizations

phonologization process: * analytic or cognitive biases: certain patterns are difficult or impossible to acquire even from perfect learning data; * phonetic precursor

determining the right memory subsystem, ensuring coherence and consistency of data, and trying to limit the area and power budgets, all require a deep understanding

Physiological measures Self-report and subjective measures Analytic measures Computational and big data measures Neurological measures Mental workload in context

computing Deep computing Pervasive computing Applications: Big Data Deep nets & learning Data mining Machine learning Pattern recognition Automatic control

computing Deep computing Pervasive computing Applications: Big Data Deep nets & learning Data mining Machine learning Pattern recognition Automatic control

Based Modeling Computer Vision for Computer Graphics Scientific Visualization Data Compression for Graphics Medical Imaging Computation Geometry Image Based

Management Mobility Handling and Utilization Wireless Mesh Networks Big Data Inspired Data Sensing Mobile Ad Hoc Computing Platforms Edge/fog computing Systems

computing Deep computing Pervasive computing Applications: Big Data Deep nets & learning Data mining Machine learning Pattern recognition Automatic control

computing Applications: Applications Active learning Deep learning Data mining Big Data Online & Self-adaptation Automatic control Intelligent traffic Computational

including its support, in particular: * Annotation tools and coding schemes; * Data resources for discourse and dialogue studies; * Corpus-based techniques and

M03 Near-field, far-field, compact and RCS range measurement techniques M04 Data acquisition, imaging algorithms and processing methods M05 EMI/EMC/PIM chambers

General Chair Olivier Pietquin, Google AI Program Chairs Smaranda Muresan, Data Science Institute, Columbia University Vivian Chen, National Taiwan University

and run experiments New tools for measurement and data collection Mechanical turk, google analytics, google forms, The landscape of research methodologies