CubeExplorer: Online Exploration of Data Cubes

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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 [2], cube-based feature extraction, and gradient analysis [1], 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)
Title of host publicationProceedings of the 2002 ACM SIGMOD International Conference on Management of Data, SIGMOD 2002
PublisherAssociation for Computing Machinery
Pages626
Number of pages1
ISBN (Electronic)1581134975, 9781581134971
DOIs
StatePublished - Jun 3 2002
Event2002 ACM SIGMOD International Conference on Management of Data, SIGMOD 2002 - Madison, United States
Duration: Jun 3 2002Jun 6 2002

Publication series

NameProceedings of the 2002 ACM SIGMOD International Conference on Management of Data, SIGMOD 2002

Conference

Conference2002 ACM SIGMOD International Conference on Management of Data, SIGMOD 2002
Country/TerritoryUnited States
CityMadison
Period6/3/026/6/02

ASJC Scopus subject areas

  • Information Systems
  • Software

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