Work

Algorithm for Mining Web Access Patterns Based on User Access Sequences

Year: 2014

Type: article

Abstract: Through analysis of user access sequences, this research studies the browsing behaviors of web users and proposes a user access pattern mining algorithm based on the maximal forward reference sequence to determine frequent access paths.Experiments have shown that this effective algorithm could obtain a satisfactory result.This algorithm is superior to the traditional Full Scan algorithm in terms of execution time and performance.

Source: The Open Cybernetics & Systemics Journal

DOI: 10.2174/1874110x01408010405

Authors: Sun Jinhua, Meng Zhaorui, Xie Yanqi

Institution: Xiamen University of Technology

Language: English

Topic: Data Mining Algorithms and Applications

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W2090908181

FWCI:

Cites: 13

Cited by: 1

Related to: 10