CubeExplorer: Online exploration of data cubes

Jiawei Han, Jianyong Wang, Guozhu Dong, Jian Pei, Ke Wang

Research output: Contribution to journalConference articlepeer-review


Data cube enables fast online analysis of large data repositories, which is attractive in many applications. Although there are several kinds of available cube-based OLAP products, users may still encounter challenges on effectiveness and efficiency in the exploration of large data cubes due to the huge computation space as well as the huge observation space in a data cube. CubeExplorer is an integrated environment for online exploration of data cubes. It integrates our newly developed techniques on iceberg cube computation, cube-based feature extraction, and gradient analysis, and makes cube exploration effective and efficient. In this demo, we will show the features of CubeExplorer, especially its power and flexibility at exploring and mining of large databases.

Original languageEnglish (US)
Pages (from-to)626
Number of pages1
JournalProceedings of the ACM SIGMOD International Conference on Management of Data
StatePublished - 2002
EventACM SIGMOD 2002 Proceedings of the ACM SIGMOD International Conference on Managment of Data - Madison, WI, United States
Duration: Jun 3 2002Jun 6 2002

ASJC Scopus subject areas

  • Software
  • Information Systems


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