DaWaK 2020: Difference between revisions

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

Latest revision as of 10:15, 7 May 2020

DaWaK 2020
22nd International Conference on Big Data Analytics and Knowledge Discovery
Event in series DaWaK
Dates 2020/09/14 (iCal) - 2020/09/17
Homepage: http://www.dexa.org/dawak2020
Twitter account: https://twitter.com/DEXASociety
Submitting link: https://easychair.org/conferences/?conf=dawak2020
Location
Location: Bratislava, Slovakia
Loading map...

Important dates
Papers: 2020/04/14
Submissions: 2020/04/14
Notification: 2020/05/20
Camera ready due: 2020/06/19
Committees
General chairs: Bernhard Moser
PC chairs: Min Song, Il-Yeol Song
Table of Contents
Tweets by https://twitter.com/DEXASociety
">Tweets by {{{Twitter account}}}


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