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A Bayesian Classification Approach to Personal Automotive Marketing Analysis

  • Kasetsart University
  • Asian Institute of Technology Thailand

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Due to the large number of automotive companies in Thailand, the automotive business is characterized by drastic competition. Therefore, information is a key to business function. Information provides competitive advantage. Generally, multiple regression is used for analyzing and predicting business data. In this paper we explore an alternative technique from the area of data mining to analyze business data for the purpose of prediction. We explore the use of Bayesian network learning techniques for determining marketing plans. Bayesian networks represent relationships among variables with conditional probabilities, so they are well suited to dealing with noisy and incomplete data.

Original languageEnglish
Title of host publication17th International Conference on Computers and Their Applications 2002, CATA 2002
EditorsRex Gantenbein, Sung Y. Shin
PublisherThe International Society for Computers and Their Applications (ISCA)
Pages433-437
Number of pages5
ISBN (Electronic)9781618395481
Publication statusPublished - 2002
Externally publishedYes
Event17th International Conference on Computers and Their Applications, CATA 2002 - San Francisco, United States
Duration: 4 Apr 20026 Apr 2002

Publication series

Name17th International Conference on Computers and Their Applications 2002, CATA 2002

Conference

Conference17th International Conference on Computers and Their Applications, CATA 2002
Country/TerritoryUnited States
CitySan Francisco
Period4/04/026/04/02

Keywords

  • Bayesian network
  • Business data
  • Data mining
  • Multiple regression

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