DaWaK 2020: Difference between revisions
No edit summary |
No edit summary |
||
| Line 13: | Line 13: | ||
}} | }} | ||
=== Scopes === | === 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 | ||
Revision as of 10:12, 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 |
| Location | |
| Location: | Bratislava, Slovakia |
| Important dates | |
| Submissions: | 2020/04/14 |
| Table of Contents | |
| Tweets by https://twitter.com/DEXASociety | |
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