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| | {{Event | | {{Event |
| − | |Acronym=DaWaK 2020 | + | |Acronym=ESWEEK 2020 |
| − | |Title=22nd International Conference on Big Data Analytics and Knowledge Discovery | + | |Title=Embedded Systems Week |
| − | |Type=Conference | + | |Ordinal=16 |
| − | |Homepage=http://www.dexa.org/dawak2020
| + | |In Event Series=Event Series:Cdee022a-45e8-43ce-b77c-755268b309cf |
| − | |Twitter account=https://twitter.com/DEXASociety
| |
| − | |City=Bratislava
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| − | |Country=Country:SK
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| − | |Submitting link=https://easychair.org/conferences/?conf=dawak2020
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| − | |has general chair=Bernhard Moser
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| − | |has program chair=Min Song, Il-Yeol Song
| |
| − | |pageCreator=User:Curator 53
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| − | |pageEditor=User:Curator 53
| |
| − | |contributionType=1
| |
| − | |In Event Series=Event Series:DaWaK | |
| | |Single Day Event=no | | |Single Day Event=no |
| − | |Start Date=2020/09/14 | + | |Start Date=2020/09/20 |
| − | |End Date=2020/09/17 | + | |End Date=2020/09/25 |
| | |Event Status=as scheduled | | |Event Status=as scheduled |
| − | |Event Mode=on site | + | |Event Mode=online |
| − | }}
| + | |Academic Field=Embedded Systems |
| − | {{Event Deadline
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| − | |Paper Deadline=2020/04/14
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| − | |Notification Deadline=2020/05/20
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| − | |Camera-Ready Deadline=2020/06/19
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| − | |Submission Deadline=2020/04/14 | |
| | }} | | }} |
| | {{Event Deadline}} | | {{Event Deadline}} |
| | {{S Event}} | | {{S Event}} |
| − | === Scopes ===
| |
| − | * Parallel Processing
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| − | * Parallel DBMS Technology
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| − | * Schema-free Data Repositories
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| − | * Modelling diverse big data sources (e.g. text)
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| − | * Conceptual Model Foundations for Big Data
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| − | * Query Languages
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| − | * Query processing and Optimization
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| − | * Semantics for Big Data Intelligence
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| − | * Data Warehouses, Data Lakes
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| − | * Big Data Storage and Indexing
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| − | * Big Data Analytics: Algorithms, Techniques, and Systems
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| − | * Big Data Quality and Provenance Control
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| − | * Distributed System Architectures
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| − | * Cloud Infrastructure for Big Data
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| − | * Scalability and Parallelization using MapReduce, Spark and Related Systems
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| − | * Graph Analytics
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| − | * Visualization
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| − | * Big Data Search and Discovery
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| − | * Big Data Management for Mobile Applications
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| − | * Analytics for Unstructured, Semi-structured, and Structured Data
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| − | * Analytics for Temporal, Spatial, Spatio-temporal, and Mobile Data
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| − | * Analytics for Data Streams and Sensor Data
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| − | * Real-time/Right-time and Event-based Analytics
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| − | * Privacy and Security in Analytics
| |
| − | * Big Data Application Deployment
| |
| − | * Pre-processing and Data Cleaning
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| − | * Integration of Data Warehousing, OLAP Cubes and Data Mining
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| − | * Analytic Workflows
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| − | * Novel Applications of Text Mining to Big Data
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| − | * Deep Learning Applications
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| − | * Data Science Products
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