Frequent sequential pattern mining for e-commerce applications
Date of Issue2002
School of Electrical and Electronic Engineering
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.
DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Nanyang Technological University