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|Acronym=DaWaK 2020 | |Acronym=DaWaK 2020 | ||
|Title=22nd International Conference on Big Data Analytics and Knowledge Discovery | |Title=22nd International Conference on Big Data Analytics and Knowledge Discovery | ||
| + | |Ordinal=22 | ||
| + | |In Event Series=Event Series:DaWaK | ||
| + | |Single Day Event=no | ||
| + | |Start Date=2020/09/14 | ||
| + | |End Date=2020/09/17 | ||
| + | |Event Status=as scheduled | ||
| + | |Event Mode=online | ||
| + | |Academic Field=Big Data Analytics; Knowledge Discovery | ||
| + | |Official Website=http://www.dexa.org/dawak2020 | ||
| + | |Submission Link=https://easychair.org/conferences/?conf=dawak2020 | ||
| + | |DOI=10.25798/s3fr-0h72 | ||
|Type=Conference | |Type=Conference | ||
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|Twitter account=https://twitter.com/DEXASociety | |Twitter account=https://twitter.com/DEXASociety | ||
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|has general chair=Bernhard Moser | |has general chair=Bernhard Moser | ||
|has program chair=Min Song, Il-Yeol Song | |has program chair=Min Song, Il-Yeol Song | ||
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|pageEditor=User:Curator 53 | |pageEditor=User:Curator 53 | ||
|contributionType=1 | |contributionType=1 | ||
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}} | }} | ||
{{Event Deadline | {{Event Deadline | ||
| + | |Notification Deadline=2020/05/20 | ||
|Paper Deadline=2020/04/14 | |Paper Deadline=2020/04/14 | ||
| − | |||
|Camera-Ready Deadline=2020/06/19 | |Camera-Ready Deadline=2020/06/19 | ||
|Submission Deadline=2020/04/14 | |Submission Deadline=2020/04/14 | ||
}} | }} | ||
| + | {{Organizer | ||
| + | |Contributor Type=organization | ||
| + | |Organization=Institute of Telecooperation, Johannes Kepler University of Linz | ||
| + | }} | ||
| + | {{Organizer | ||
| + | |Contributor Type=organization | ||
| + | |Organization=Software Competence Center Hagenberg (Austria) | ||
| + | }} | ||
| + | {{Organizer | ||
| + | |Contributor Type=organization | ||
| + | |Organization=The International Organization on Information Integration and Web-based Applications & Services (@WAS) | ||
| + | }} | ||
| + | {{Event Metric}} | ||
{{S Event}} | {{S Event}} | ||
| − | === 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 |
Latest revision as of 08:12, 7 August 2023
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Metrics
Venue
Warning: Venue is missing. The map might not show the exact location.
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
