Frequent sequential pattern mining for e-commerce applications

Frequent sequential pattern mining for e-commerce applications

The objective of this project is to propose an improved web frequent sequential patterns mining algorithm for generating analysis rules for large-scale purchase datasets. By a careful evaluation of the traditional mining algorithms, we aim to design a better algorithm that is more scalable and effic...

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Bibliographic Details
Main Author: Li, Xueheng.
Other Authors: Kong, Hinny Pe Hin
Format: Theses and Dissertations
Published: 2008
Subjects:
DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Online Access:http://hdl.handle.net/10356/4771
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Institution: Nanyang Technological University
Description
Summary:The objective of this project is to propose an improved web frequent sequential patterns mining algorithm for generating analysis rules for large-scale purchase datasets. By a careful evaluation of the traditional mining algorithms, we aim to design a better algorithm that is more scalable and efficient.

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