Sequential pattern mining

Wei Shen, Jianyong Wang, Jiawei Han

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Sequential pattern mining, which discovers frequent subsequences as patterns in a sequence database, has been a focused theme in data mining research for over a decade. This problem has broad applications, such as mining customer purchase patterns and Web access patterns. However, it is also a challenging problem since the mining may have to generate or examine a combinatorially explosive number of intermediate subsequences. Abundant literature has been dedicated to this research and tremendous progress has been made so far. This chapter will present a thorough overview and analysis of the main approaches to sequential pattern mining.

Original languageEnglish (US)
Title of host publicationFrequent Pattern Mining
PublisherSpringer International Publishing
Pages261-282
Number of pages22
Volume9783319078212
ISBN (Electronic)9783319078212
ISBN (Print)3319078208, 9783319078205
DOIs
StatePublished - Jul 1 2014

Keywords

  • Sequential
  • mining
  • pattern

ASJC Scopus subject areas

  • Computer Science(all)

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