8th ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery

In addition to research on novel data-mining algorithms and experiences with innovative mining systems and applications, of particular interest in this year's DMKD workshop is the broad theme of "Future Trends in Data Mining." Topics of interest include (but are certainly not limited to):

• Privacy & Security issues in Mining: Privacy preserving data mining techniques are invalvuable in cases where one may not look at the detiled data, but one is allowed to infer high level information. This also has relevance for the use of mining for national security applications.

• Mining Data Streams: In many emerging applications data arrives and needs to be processed on a continuous basis, i.e., there is need for mining without the benefit of several passes over a static, persistent snapshot.

• Data Mining in Bioinformatics and Biological Database Systems: High-performance data mining tools will play a crucial role in the analysis of the ever-growing databases of bio-sequences/structures.

• Semi/Un-Structured Mining for the World Wide Web: The vast amounts of information with little or no structure on the web raise a host challenging mining problems such as web resource discovery and topic distillation; web structure/linkage mining; intelligent web searching and crawling; personalization of web content.

• Future Trends/Past Reflections: What are the emerging topics/applications for next generation data mining? What lessons have been learned from over a decade of data mining? What areas need more attention?