18th International Conference on Big Data Analytics and Knowledge Discovery - DaWaK 2016
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When : 2016-09-05
Where : Porto, Portugal.
Submission Deadline : 2016-03-31
Categories : DBWorld: Database Management Systems , Computer Science & Information Technology
18th International Conference on Big Data Analytics and Knowledge Discovery - DaWaK 2016
September 5 - 8, 2016
Porto, Portugal .
Call For Papers
he best papers from DAWAK '16 will be expanded and revised for possible inclusion in:
- Distributed and Parallel Databases, Springer.
- Transactions on Large-scale Data- and Knowledge Centered Systems - TLDKS,
Submissions presenting current research work on both theoretical and practical aspects of Big Data, Knowledge Discovery are encouraged. Submissions on industrial applications and experiences are also highly encouraged.
Topics
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Track 1 - Research:
- Big Data Query Languages and Optimization
- Big Data Analytics and User Interfaces
- Big Data Indexing and Storing
- Big Data Analytics: algorithms, techniques, and systems
- Big Data Quality and Provenance Control
- Social Networking Data Graph Management
- Visualization Analytics for Big Data
- Big Data Searching and Discovery
- Big Data Management for Mobile Applications
- Scalability and Parallelization using Mapreduce and beyond
- Analytics for the Cloud Infrastructure
- Analytics for Unstructured, Semi-structured, and Structured Data
- Semantic for Big Data Intelligence
- Analytics for Temporal, Spatial, Spatio-temporal, and Mobile Data
- Analytics for Data Streams and Sensor Data
- Analytics for Big Multimedia Data
- Analytics for Social Networks
- Real-time/Right-time and Event-based Analytics
- Privacy and Security in Cloud Intelligence
- Reliability and Fault tolerance in Cloud Intelligence
- Big Data Application Design and Deployment
- Data Mining Techniques: Clustering, Classification, Association Rules, Decision Trees, etc.
- Data and Knowledge Representation
- Knowledge Discovery Framework and Process, Including Pre- and Post-processing
- Integration of Data Warehousing, OLAP and Data Mining
- Integrating Constraints and Knowledge in the KDD Process
- Exploring Data Analysis, Inference of Causes, Prediction
- Evaluating, Consolidating, and Explaining Discovered Knowledge
- Statistical Techniques for Generation a Robust, Consistent Data Model
- Interactive Data Exploration/Visualization and Discovery
- Languages and Interfaces for Data Mining
- Big Data Data Mining Trends, Opportunities and Risks
- Big Data Mining from Low-quality Information Sources
Track 2 - Industry and Application:
- Big Data Analytics and Knowledge Discovery Tools
- Big Data Deployment Industrial Experiences
- Big Data Applications in Scientific, Government, Healthcare, Bioinformatics, Smart City, etc.
- Big Data Analytics Applications in E-commerce and Web Technology for Finance, Healthcare, Marketing, Telecommunications, etc
- Big Data for Intrusion/Fraud Detection
- Big Data and Business Process Intelligence (BPI)
- Big Data in Enterprise Management Models and Practices