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DaWaK 2013 : 15th International Conference on Data Warehousing and Knowledge Discovery


Conference Series : Data Warehousing and Knowledge Discovery
When Aug 26, 2013 - Aug 29, 2013
Where Prague, Czech Republic
Abstract Registration Due Mar 19, 2013
Submission Deadline Mar 26, 2013
Categories    databases   data mining   knowledge discovery

Call For Papers

15th International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2013)
Prague, Czech Republic
August 26-29, 2013

Data Warehousing and Knowledge Discovery has been widely accepted as a key technology for enterprises and organizations to improve their abilities in data analysis, decision support, and the automatic extraction of knowledge from data. With the exponentially growing amount of information to be included in the decision making process, the data to be considered becomes more and more complex in both structure and semantics. New developments such as cloud computing and Big Data add to the challenges with massive scaling, a new computing infrastructure, and new types of data. Consequently, the process of retrieval and knowledge discovery from this huge amount of heterogeneous complex data builds the litmus-test for the research in the area.
Submissions presenting current research work on both theoretical and practical aspects of Big Data, Data Warehousing and Knowledge Discovery are encouraged. DaWaK 2013 is organized into 4 tracks as follows:

Big Data and Cloud Intelligence Track:
� Big Data Storage
� Big Data Query Languages and Optimization
� Big Data Analytics and User Interfaces
� Big Indexes
� Massive data analytics: algorithms, techniques, and systems
� Scalability and parallelization for cloud intelligence: map-reduce and beyond
� Analytics for the cloud infrastructure
� Analytics for unstructured, semi-structured, and structured data
� Semantic web intelligence
� Analytics for temporal, spatial, spatio-temporal, and mobile data
� Analytics for data streams and sensor data
� Analytics for 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

Data Warehousing Track:
� Analytical front-end tools for DW and OLAP
� Data warehouse architecture
� Data extraction, cleansing, transforming and loading
� Data warehouse design (conceptual, logical and physical)
� Multidimensional modelling and queries
� Data warehousing consistency and quality
� Data warehouse maintenance and evolution
� Performance optimization and tuning
� Implementation/compression techniques
� Data warehouse metadata

Knowledge Discovery:
� 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
� Mining Trends, Opportunities and Risks
� Mining from low-quality information sources

Industry and Applications Track:
� Big Data Analytics Applications
� Data warehousing tools
� OLAP and analytics tools
� Data mining tools
� Industry experiences
� Data warehousing applications: corporate, scientific, government, healthcare, bioinformatics, etc.
� Data mining applications: bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc
� Data mining support for designing information systems
� Business Process Intelligence (BPI)

Paper Submission Details
Authors are invited to submit research and application papers representing original, previously unpublished work. Papers should be submitted in PDF or Word format. Submission Online at: DaWaK 2013 Submission site
Submissions must conform to Springer's LNCS format and should not exceed 12 pages. All accepted papers will be published in LNCS by Springer-Verlag. Authors of selected best papers from DaWaK 2013 will be invited to submit the extended paper for a special issue of LNCS Transactions on Large-Scale Data and Knowledge-Centered Systems..
For further inquiries, contact the DaWaK 2013 PC chairs

� Submission of abstracts: March 19, 2013
� Submission of full papers: March 26, 2013
� Notification of acceptance: May 14, 2013
� Camera-ready copies due: June 10, 2013

Program Chairs
� Ladjel Bellatreche
� Mukesh Mohania

Program Committee


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