Applying data mining technology to construct prediction model in website

Chien Yun Dai, Chen Chieh Yeh, Chi Jun Lu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Information of network grows up fast, and there is an important thing providing user a tool which could search information quickly. In order to achieve this purpose and we must track and analyze user behavior of network. We apply data mining approach which is used to accurately capture user behavior of network traffic. This research is used Petri-net method to extract the user behavior accurately, and it offers path of user behavior. And we use converted weight matrix method to construct prediction page set determining and prediction model, and it has flexibility to make management and access of the database more convenient. The experimental results showed that improve site of website and predict path of user behavior efficiently.

Original languageEnglish
Title of host publicationIMECS 2007 - International MultiConference of Engineers and Computer Scientists 2007
Pages757-761
Number of pages5
Publication statusPublished - 2007 Dec 1
EventInternational MultiConference of Engineers and Computer Scientists 2007, IMECS 2007 - Kowloon, Hong Kong
Duration: 2007 Mar 212007 Mar 23

Publication series

NameLecture Notes in Engineering and Computer Science
ISSN (Print)2078-0958

Other

OtherInternational MultiConference of Engineers and Computer Scientists 2007, IMECS 2007
CountryHong Kong
CityKowloon
Period07/3/2107/3/23

Keywords

  • Petri-net
  • Prediction model
  • User behavior

ASJC Scopus subject areas

  • Computer Science (miscellaneous)

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  • Cite this

    Dai, C. Y., Yeh, C. C., & Lu, C. J. (2007). Applying data mining technology to construct prediction model in website. In IMECS 2007 - International MultiConference of Engineers and Computer Scientists 2007 (pp. 757-761). (Lecture Notes in Engineering and Computer Science).