Data warehouse and knowledge discovery (DAWAK'05)

has been widely accepted as key technologies 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 processed become 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 constitutes the reality check for 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. The DaWaK conferences served as a prominent forum for discussing latest research issues and experiences in developing and deploying data warehousing and knowledge discovery systems, applications, and solutions. This year’s conference, the 10th International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2008), builds on this tradition of facilitating the cross-disciplinary exchange of ideas, experiData Warehouse and Knowledge Discovery (DaWaK’08)