Overview of data mining for customer behavior modeling: LOUHI. Version 0.2-1

Catherine Bounsaythip, Esa Rinta-Runsala

Research output: Book/ReportReport

Abstract

This report examines the problems of customer relationship management (CRM) particularly customer segmentation and customer profiling, and how data mining tools are used to support the decision making. We first describe the steps towards predicting customer's behavior, such as collecting and preparing data, segmentation and profile modeling. Then, we present a general overview of most used data mining methods including cluster discovery, decision trees, neural networks, association rule and sequential pattern discovery. The report also covers a discussion about Web mining which is treated as a separate section due to its current popularity in electronic commerce. A guideline to choose a data mining software package is also given in the last section.
Original languageEnglish
Place of PublicationEspoo
PublisherVTT Technical Research Centre of Finland
Number of pages59
Publication statusPublished - 2001
MoE publication typeD4 Published development or research report or study

Publication series

SeriesVTT Research Report
NumberTTE1-2001-18

Keywords

  • data mining
  • customer segmentation
  • customer profiling
  • web mining
  • CRM

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