A New Data Cube for Integrating Data Mining and OLAP

  • Authors:

  • Tadashi Ohmori;Masahide Naruse;Mamoru Hoshi

  • Affiliations:

  • The University of Electro-Communications, Graduate School of Information Systems, Chofu, Tokyo 182-8585, Japan. omori@is.uec.ac.jp;The University of Electro-Communications, Graduate School of Information Systems, Chofu, Tokyo 182-8585, Japan;The University of Electro-Communications, Graduate School of Information Systems, Chofu, Tokyo 182-8585, Japan

  • Venue:
  • ICDEW '07 Proceedings of the 2007 IEEE 23rd International Conference on Data Engineering Workshop
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

Abstract

Recently there is much need of discovering useful knowledge from massive log-data which are generated by Web-based 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 data-mining 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.