Web Page Classification with an Ant Colony Algorithm

This paper utilizes Ant-Miner – the first Ant Colony algorithm for discovering classification rules – in the field of web content mining, and shows that it is more effective than C5.0 in two sets of BBC and Yahoo web pages used in our experiments. It also investigates the benefits and dangers of several linguistics-based text preprocessing techniques to reduce the large numbers of attributes associated with web content mining.

• Type: Conference
• Year: 2004
• Where: PPSN
• Authors: Nicholas Holden, Alex Alves Freitas
• Keywords: Ant Colony Algorithm, Distributed And Parallel Computing, PPSN 2004, Text Preprocessing Techniques, Web Content Mining