Data mining in tourism demand analysis: A retrospective analysis

Chun Hung Roberts Law, Henry Mok, Carey Goh

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

11 Citations (Scopus)


Despite numerous studies have applied various forecasting models to tourism demand analysis, data mining techniques have been largely overlooked by academic researchers in tourism forecasting prior to 1999. Based on our review of published articles in tourism journals that applied data mining techniques to tourism demand forecasting, we find that the application of data mining techniques are still at their infancy. This paper concludes with practical implications and future research areas.
Original languageEnglish
Title of host publicationAdvanced Data Mining and Applications - Third International Conference, ADMA 2007, Proceedings
Number of pages8
Publication statusPublished - 1 Dec 2007
Event3rd International Conference on Advanced Data Mining and Applications, ADMA 2007 - Harbin, China
Duration: 6 Aug 20078 Aug 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4632 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference3rd International Conference on Advanced Data Mining and Applications, ADMA 2007


  • Business applications
  • Data mining
  • Demand forecasting
  • Tourism

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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