Towards long pattern generation in dense databases

  • Authors:
  • Charu C. Aggarwal

  • Affiliations:
  • IBM T. J. Watson Research Center, Yorktown Heights, NY

  • Venue:
  • ACM SIGKDD Explorations Newsletter
  • Year:
  • 2001

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper discusses the problem of long pattern generation in dense databases. In recent years, there has been an increase of interest in techniques for maximal pattern generation. We present a survey of this class of methods for long pattern generation which differ considerably from the level-wise approach of traditional methods. Many of these techniques are rooted in combinatorial tricks which can be applied only when the generation of frequent patterns is not forced to be level wise. We present an overview of the different kinds of methods which can be used in order to improve the counting and search space exploration methods for long patterns.