<$BlogRSDUrl$> Marcus P. Zillman, M.S., A.M.H.A. Author/Speaker/Consultant
Marcus P. Zillman, M.S., A.M.H.A. Author/Speaker/Consultant
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Wednesday, January 26, 2005  

Integrating Data Mining, Databases and Information Retrieval (IDDI-05)
http://iddi05.unibg.it/

Mass storage devices allow organizations to store very large volumes of data; in the form of relational data, textual documents, semi-structured (XML) documents. An important issue organizations would like to address is “how to take advantage from such large volumes of data”, in order to extract useful information for decision making, to improve the quality of their activities, for sharing useful knowledge, etc.. Researchers working on data mining and knowledge discovery techniques are providing solutions for discovering useful and/or unexpected information from large volumes of data; in particular, they argued that a strong integration between data mining tools and databases is necessary to foster the day by day exploitation of such techniques. In more than thirty years, researchers belonging to the Information Retrieval community produced a number of proposals of categorization techniques, indexing criteria, retrieval models and user interfaces for dealing with textual and multimedia documents. Today the emerging research themes of IR research deal with collections of multimedia documents heterogeneously structured and rapidly changing in time, and semi-structured (XML) documents. These problems are also faced by the database and data mining communities, even if from a complementary perspective. The workshop is addressed to researchers in data mining, databases, and IR, working on the extension of existing data models, languages and techniques, or on the definition of new data models, languages and techniques, with the aim of improving the capabilities of current systems. In particular, they encourage papers concerning the extraction of information from collections of data, possibly stored in some form of database. Hence they are interested in contributions presenting ideas and solutions based on the integration of data mining and/or database and/or information retrieval. This has been added to Data Mining Resources Subject Tracer™ Information Blog.

posted by Marcus Zillman | 4:10 AM
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