Abstract

A fundamental problem for analysis of multidimensional text databases is efficient and effective support of various kinds of online applications, such as summarizing the content of text cells and comparing the contents across multiple text cells. In this paper, we propose a new infrastructure called MicroTextCluster Cube (or MiTexCube) to support efficient online text analysis on multidimensional text databases by introducing micro-clusters of text documents as a compact representation of text content. Experimental results on a real multidimensional text database show that applications based on the proposed materialized MiTexCube are more efficient than the baseline method of direct analysis based on document units in each cell, without sacrificing much quality of analysis, and MiTexCube naturally accommodates flexible tradeoff between efficiency and quality of analysis.

Original languageEnglish (US)
Pages204-218
Number of pages15
StatePublished - Dec 1 2011
EventNASA Conference on Intelligent Data Understanding, CIDU 2011 - Mountain View, CA, United States
Duration: Oct 19 2011Oct 21 2011

Other

OtherNASA Conference on Intelligent Data Understanding, CIDU 2011
CountryUnited States
CityMountain View, CA
Period10/19/1110/21/11

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ASJC Scopus subject areas

  • Artificial Intelligence
  • Software

Cite this

Zhang, D., Zhai, C., & Han, J. (2011). Mitexcube: Microtextcluster cube for online analysis of text cells. 204-218. Paper presented at NASA Conference on Intelligent Data Understanding, CIDU 2011, Mountain View, CA, United States.