Towards a rough classification of business travelers

Chun Hung Roberts Law, Thomas Bauer, Karin Weber, Sze Ming Tse

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

8 Citations (Scopus)


The significant economic contributions of the fast growing tourism industry have drawn worldwide attention on understanding the behavioral and demographic patterns of visitors. This research makes an attempt to develop a rough sets based model that can capture the essential information from business travelers, a segment of the market that to date has been entirely overlooked by academic researchers in data mining. Utilizing the primary data collected from an Omnibus survey carried out in Hong Kong in late 2005, experimental findings showed that the induced decision rules could classify 82% of the cases in the testing set and 41% of the classified cases were correctly estimated. Most importantly, there was no statistically significant difference between the estimated values and actual values.
Original languageEnglish
Title of host publicationAdvanced Data Mining and Applications - Second International Conference, ADMA 2006, Proceedings
PublisherSpringer Verlag
Number of pages8
ISBN (Electronic)9783540370253
ISBN (Print)3540370250
Publication statusPublished - 1 Jan 2006
Event2nd International Conference on Advanced Data Mining and Applications, ADMA 2006 - Xi'an, China
Duration: 14 Aug 200616 Aug 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4093 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference2nd International Conference on Advanced Data Mining and Applications, ADMA 2006

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science


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