Difference between revisions of "DaWaK 2020"

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|City=Bratislava
 
|City=Bratislava
 
|Country=Slovakia
 
|Country=Slovakia
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|Paper deadline=2020/04/14
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|Notification=2020/05/20
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|Camera ready=2020/06/19
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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
 
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}}
 
=== 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 12:15, 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

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