Data mining in electronic commerce using classification technique / Lim Lee Chin

Lim , Lee Chin (2003) Data mining in electronic commerce using classification technique / Lim Lee Chin. Undergraduates thesis, University of Malaya.

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    Abstract

    This thesis project is carried out in order to fulfill one of the academic requirements for Bachelor of Computer Science from University of Malaya. The project involved the development of Data mining in electronic commerce using classification technique. Firstly, this report will cover the general concept of data mining, project motivation objectives of data mining, scope of project, current limitation and an expected outcome and project schedule. Secondly, this report will review the literature. This part will cover basic knowledge of data mining system. Then followed by introducing data mining techniques and tools. Methodology part also will be discussed in chapter III. In the system analysis, it is about analysis of functions and non-functional requirements specification. Next part is system design that describes the data flow of my system. The final part of my project is system implementation and testing. It is description of the environment in which the systems are developed and implemented after completion. It also includes verifications and validations of the system to make sure the errors in the minimum level.

    Item Type: Thesis ( Undergraduates)
    Additional Information: Academic Exercise (Bachelor’s Degree) – Faculty of Computer Science & Information Technology, University of Malaya, 2002/2003.
    Uncontrolled Keywords: Electronic commerce; Classification technique; Data mining; Sun Solaris; Computer-assisted learning
    Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
    Divisions: Faculty of Computer Science & Information Technology
    Depositing User: Mr Mohd Safri Tahir
    Date Deposited: 18 Apr 2020 11:57
    Last Modified: 18 Apr 2020 11:57
    URI: http://studentsrepo.um.edu.my/id/eprint/11116

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