@inproceedings{ac384a4d3aa349b6b477be4b444dab09,
title = "A Bayesian Classification Approach to Personal Automotive Marketing Analysis",
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.",
keywords = "Bayesian network, Business data, Data mining, Multiple regression",
author = "Jantima Polpinij and Chuleerat Jaruskulchai and Peter Haddawy",
note = "Publisher Copyright: {\textcopyright} 17th International Conference on Computers and Their Applications 2002, CATA 2002. All rights reserved.; 17th International Conference on Computers and Their Applications, CATA 2002 ; Conference date: 04-04-2002 Through 06-04-2002",
year = "2002",
language = "English",
series = "17th International Conference on Computers and Their Applications 2002, CATA 2002",
publisher = "The International Society for Computers and Their Applications (ISCA)",
pages = "433--437",
editor = "Rex Gantenbein and Shin, \{Sung Y.\}",
booktitle = "17th International Conference on Computers and Their Applications 2002, CATA 2002",
}