Difference between revisions of "DaWaK 2020"
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|has program chair=Min Song, Il-Yeol Song | |has program chair=Min Song, Il-Yeol Song | ||
|Acronym=DaWaK 2020 | |Acronym=DaWaK 2020 | ||
| − | |End date=2020 | + | |End date=2020-09-17 |
|Series =DaWaK | |Series =DaWaK | ||
|Type =Conference | |Type =Conference | ||
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|State =SK/BL | |State =SK/BL | ||
|City =SK/BL/Bratislava | |City =SK/BL/Bratislava | ||
| + | |Year =2020 | ||
|Homepage=http://www.dexa.org/dawak2020 | |Homepage=http://www.dexa.org/dawak2020 | ||
| − | |Start date=2020 | + | |Start date=2020-09-14 |
|Title =22nd International Conference on Big Data Analytics and Knowledge Discovery}} | |Title =22nd International Conference on Big Data Analytics and Knowledge Discovery}} | ||
=== Scopes === | === Scopes === | ||
Revision as of 02:35, 19 November 2021
Event Rating
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List of all ratings can be found at DaWaK 2020/rating
| DaWaK 2020 | |
|---|---|
22nd International Conference on Big Data Analytics and Knowledge Discovery
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| 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: | SK/BL/Bratislava, SK/BL, SK |
| 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%7C colspan="2" style="padding-top: 2px; " | 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