Difference between revisions of "Event:DaWaK 2020"

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|Acronym=DaWaK 2020
 
|Acronym=DaWaK 2020
 
|Title=22nd International Conference on Big Data Analytics and Knowledge Discovery
 
|Title=22nd International Conference on Big Data Analytics and Knowledge Discovery
 +
|Ordinal=22
 +
|In Event Series=Event Series:DaWaK
 +
|Single Day Event=no
 +
|Start Date=2020/09/14
 +
|End Date=2020/09/17
 +
|Event Status=as scheduled
 +
|Event Mode=online
 +
|Academic Field=Big Data Analytics; Knowledge Discovery
 +
|Official Website=http://www.dexa.org/dawak2020
 +
|Submission Link=https://easychair.org/conferences/?conf=dawak2020
 +
|DOI=10.25798/s3fr-0h72
 
|Type=Conference
 
|Type=Conference
|Submission deadline=2020/04/14
 
|Homepage=http://www.dexa.org/dawak2020
 
 
|Twitter account=https://twitter.com/DEXASociety
 
|Twitter account=https://twitter.com/DEXASociety
|City=Bratislava
 
|Country=Country:SK
 
|Paper deadline=2020/04/14
 
|Notification=2020/05/20
 
|Camera ready=2020/06/19
 
|Submitting link=https://easychair.org/conferences/?conf=dawak2020
 
 
|has general chair=Bernhard Moser
 
|has general chair=Bernhard Moser
 
|has program chair=Min Song, Il-Yeol Song
 
|has program chair=Min Song, Il-Yeol Song
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|pageEditor=User:Curator 53
 
|pageEditor=User:Curator 53
 
|contributionType=1
 
|contributionType=1
|In Event Series=Event Series:DaWaK
 
|Single Day Event=no
 
|Start Date=2020/09/14
 
|End Date=2020/09/17
 
|Event Status=as scheduled
 
|Event Mode=on site
 
 
}}
 
}}
=== Scopes ===
+
{{Event Deadline
* Parallel Processing
+
|Notification Deadline=2020/05/20
* Parallel DBMS Technology
+
|Paper Deadline=2020/04/14
* Schema-free Data Repositories
+
|Camera-Ready Deadline=2020/06/19
* Modelling diverse big data sources (e.g. text)
+
|Submission Deadline=2020/04/14
* Conceptual Model Foundations for Big Data  
+
}}
* Query Languages  
+
{{Organizer
* Query processing and Optimization
+
|Contributor Type=organization
* Semantics for Big Data Intelligence
+
|Organization=Institute of Telecooperation, Johannes Kepler University of Linz
* Data Warehouses, Data Lakes
+
}}
* Big Data Storage and Indexing
+
{{Organizer
* Big Data Analytics: Algorithms, Techniques, and Systems
+
|Contributor Type=organization
* Big Data Quality and Provenance Control
+
|Organization=Software Competence Center Hagenberg (Austria)
* Distributed System Architectures
+
}}
* Cloud Infrastructure for Big Data
+
{{Organizer
* Scalability and Parallelization using MapReduce, Spark and Related Systems
+
|Contributor Type=organization
* Graph Analytics
+
|Organization=The International Organization on Information Integration and Web-based Applications & Services (@WAS)
* Visualization
+
}}
* Big Data Search and Discovery
+
{{Event Metric}}
* Big Data Management for Mobile Applications
+
{{S Event}}
* Analytics for Unstructured, Semi-structured, and Structured Data
+
===Scopes===
* Analytics for Temporal, Spatial, Spatio-temporal, and Mobile Data
+
*Parallel Processing
* Analytics for Data Streams and Sensor Data
+
*Parallel DBMS Technology
* Real-time/Right-time and Event-based Analytics
+
*Schema-free Data Repositories
* Privacy and Security in Analytics
+
*Modelling diverse big data sources (e.g. text)
* Big Data Application Deployment
+
*Conceptual Model Foundations for Big Data
* Pre-processing and Data Cleaning
+
*Query Languages
* Integration of Data Warehousing, OLAP Cubes and Data Mining
+
*Query processing and Optimization
* Analytic Workflows
+
*Semantics for Big Data Intelligence
* Novel Applications of Text Mining to Big Data
+
*Data Warehouses, Data Lakes
* Deep Learning Applications  
+
*Big Data Storage and Indexing
* Data Science Products
+
*Big Data Analytics: Algorithms, Techniques, and Systems
 +
*Big Data Quality and Provenance Control
 +
*Distributed System Architectures
 +
*Cloud Infrastructure for Big Data
 +
*Scalability and Parallelization using MapReduce, Spark and Related Systems
 +
*Graph Analytics
 +
*Visualization
 +
*Big Data Search and Discovery
 +
*Big Data Management for Mobile Applications
 +
*Analytics for Unstructured, Semi-structured, and Structured Data
 +
*Analytics for Temporal, Spatial, Spatio-temporal, and Mobile Data
 +
*Analytics for Data Streams and Sensor Data
 +
*Real-time/Right-time and Event-based Analytics
 +
*Privacy and Security in Analytics
 +
*Big Data Application Deployment
 +
*Pre-processing and Data Cleaning
 +
*Integration of Data Warehousing, OLAP Cubes and Data Mining
 +
*Analytic Workflows
 +
*Novel Applications of Text Mining to Big Data
 +
*Deep Learning Applications
 +
*Data Science Products

Latest revision as of 08:12, 7 August 2023

Deadlines
2020-05-20
2020-04-14
2020-06-19
2020-04-14
14
Apr
2020
Paper
14
Apr
2020
Submission
20
May
2020
Notification
19
Jun
2020
Camera-Ready
organization
organization
organization
Metrics
Venue
Loading map...

Scopes

  • Parallel Processing
  • Parallel DBMS Technology
  • Schema-free Data Repositories
  • Modelling diverse big data sources (e.g. text)
  • Conceptual Model Foundations for Big Data
  • Query Languages
  • Query processing and Optimization
  • Semantics for Big Data Intelligence
  • Data Warehouses, Data Lakes
  • Big Data Storage and Indexing
  • Big Data Analytics: Algorithms, Techniques, and Systems
  • Big Data Quality and Provenance Control
  • Distributed System Architectures
  • Cloud Infrastructure for Big Data
  • Scalability and Parallelization using MapReduce, Spark and Related Systems
  • Graph Analytics
  • Visualization
  • Big Data Search and Discovery
  • Big Data Management for Mobile Applications
  • Analytics for Unstructured, Semi-structured, and Structured Data
  • Analytics for Temporal, Spatial, Spatio-temporal, and Mobile Data
  • Analytics for Data Streams and Sensor Data
  • Real-time/Right-time and Event-based Analytics
  • Privacy and Security in Analytics
  • Big Data Application Deployment
  • Pre-processing and Data Cleaning
  • Integration of Data Warehousing, OLAP Cubes and Data Mining
  • Analytic Workflows
  • Novel Applications of Text Mining to Big Data
  • Deep Learning Applications
  • Data Science Products
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