Difference between revisions of "Event:DaWaK 2020"

From ConfIDent
(mobo import Concept___Events-migrated)
(mobo import Concept___Events-migrated)
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|Title=22nd International Conference on Big Data Analytics and Knowledge Discovery
 
|Title=22nd International Conference on Big Data Analytics and Knowledge Discovery
 
|Type=Conference
 
|Type=Conference
|Submission deadline=2020/04/14
 
 
|Homepage=http://www.dexa.org/dawak2020
 
|Homepage=http://www.dexa.org/dawak2020
 
|Twitter account=https://twitter.com/DEXASociety
 
|Twitter account=https://twitter.com/DEXASociety
 
|City=Bratislava
 
|City=Bratislava
 
|Country=Country:SK
 
|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
 
|Submitting link=https://easychair.org/conferences/?conf=dawak2020
 
|has general chair=Bernhard Moser
 
|has general chair=Bernhard Moser
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|Event Mode=on site
 
|Event Mode=on site
 
}}
 
}}
 +
{{Event Deadline
 +
|Paper Deadline=2020/04/14
 +
|Notification Deadline=2020/05/20
 +
|Camera-Ready Deadline=2020/06/19
 +
|Submission Deadline=2020/04/14
 +
}}
 +
{{S Event}}
 
=== Scopes ===
 
=== Scopes ===
 
*  Parallel Processing
 
*  Parallel Processing

Revision as of 19:10, 22 September 2022

Deadlines
2020-05-20
2020-04-14
2020-06-19
2020-04-14
14
Apr
2020
Submission
14
Apr
2020
Paper
20
May
2020
Notification
19
Jun
2020
Camera-Ready
Venue
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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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