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Title: Frequent sequential pattern mining for e-commerce applications
Authors: Li, Xueheng.
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Issue Date: 2002
Abstract: 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.
Schools: School of Electrical and Electronic Engineering 
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

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