A New Data Cube for Integrating Data Mining and OLAP

Recently there is much need of discovering useful knowledge from massive log-data which are generated by Webbased information systems. Such log-data have multiple attributes about when and where what events occurred. In order to find useful knowledge from this data-set, many aggregate queries and data-mining queries must be issued under various constraints in the ”when/where/what”-space. To support this process, this paper proposes a new data cube named Itemset Cube. This cube directly supports datamining tasks in a multi-dimensional space of analysis. Definition and algorithms of the itemset cube and its application to a real data-set are described.

• Type: Conference
• Year: 2007
• Where: ICDE
• Authors: Tadashi Ohmori, Masahide Naruse, Mamoru Hoshi
• Keywords: Cube Named Itemset, Database, ICDE 2007, Itemset Cube, Useful Knowledge