Text Cube: Computing IR Measures for Multidimensional Text Database Analysis

Since Jim Gray introduced the concept of ”data cube” in 1997, data cube, associated with online analytical processing (OLAP), has become a driving engine in data warehouse industry. Because the boom of Internet has given rise to an ever increasing amount of text data associated with other multidimensional information, it is natural to propose a data cube model that integrates the power of traditional OLAP and IR techniques for text. In this paper, we propose a Text-Cube model on multidimensional text database and study effective OLAP over such data. Two kinds of hierarchies are distinguishable inside: dimensional hierarchy and term hierarchy. By incorporating these hierarchies, we conduct systematic studies on efficient text-cube implementation, OLAP execution and query processing. Our performance study shows the high promise of our methods.
Date: December 02, 2008
Book Title: Int. Conf. on Data Mining (ICDM'08)
Type: InProceedings
Edition: Proc 2008
Address: Pisa, Italy
Downloads: 367

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Bibtex


@InProceedings{Text_Cube_Computing_IR_Measures_for_Mult,
  author = "Cindy Xide Lin and Bolin Ding and Jiawei Han and Feida Zhu and Bo Zhao",
  title = "{Text Cube: Computing IR Measures for Multidimensional Text Database Analysis}",
  month = "December",
  year = "2008",
  edition = "Proc 2008",
  address = ", Pisa, Italy",
  booktitle = "Int. Conf. on Data Mining (ICDM'08)",
}