DaWaK '10 2010 - 12th International Conference on Data Warehousing and Knowledge Discovery - DaWaK '10

12th International Conference on Data Warehousing and Knowledge Discovery
DaWaK 2010
August 30 - September 3 2010,
Bilbao, Spain.
http://www.dexa.org/dawak
Data Warehousing and Knowledge Discovery has been widely accepted as a key technology for enterprises and
organisations 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. 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.During the past years, the International Conference on Data Warehousing and Knowledge Discovery (DaWaK) has
become one of the most important international scientific events to bring together researchers, developers and practitioners
to discuss latest research issues and experiences in developing and deploying data warehousing and knowledge discovery
systems, applications, and solutions. This year’s conference (DaWaK 2010), builds on this tradition of facilitating
the cross-disciplinary exchange of ideas, experience and potential research directions.
DaWaK 2010 seeks to introduce innovative principles, methods, algorithms and solutions to challenging problems faced in
the development of data warehousing, knowledge discovery and data mining applications. Submissions presenting current
research work on both theoretical and practical aspects of data warehousing and knowledge discovery are encouraged.
Particularly, we strongly welcome submissions dealing with emerging real world applications such as real-time data
warehousing, analysis of spatial and spatiotemporal data, OLAP mining, mobile OLAP, and mining science data (e.g.
bioinformatics, geophysics)
Major Tracks
Topics of interest include in these tracks but are not limited to:
Data Warehousing
-Analytical front-end tools for DW and OLAP
-Data warehouse architecture and design (conceptual, logical
t and physical)
-Data extraction, cleansing, transforming and loading
-Multidimensional modelling and queries
-Data warehousing consistency and quality
-Data warehouse maintenance and evolution
-View maintenance/adaptation
-Data warehouse schema evolution
-Data warehousing with unstructured data (e.g., text) and
semi-structured data (e.g., XML)
-Data warehousing applications: corporate, scientific,
t government, healthcare, bioinformatics,
-Business Process Intelligence (BPI)
-Data warehouse privacy, security, and reliability
-Grid/Parallel/distributed data warehousing
-Performance optimization and tuning
-Implementation/compression techniques
-Data warehouse metadata
-Active and event-based data warehousing
-Real-time/right-time data warehousing
-DW and OLAP for stream and sensor data
-Spatial and spatio-temporal data warehouses
-Data warehousing and OLAP in mobile/wireless
t environments
-Web/multimedia data warehouses
-Combined analysis (OLAP,etc) of structured,
t semi-structured, and unstructured data
-Data warehousing and the semantic web
-Data warehouse privacy, security, and reliability
etc.