Discovering data dependencies in Web content mining

Web content mining opens up the possibility to use data presented in web pages for the discovery of interesting and useful patterns. Our web mining tool, FBL (Filtered Bayesian Learning), performs a two stage process: first it analyzes data present in a web page, and then, using information about the data dependencies encountered, it performs the mining phase based on bayesian learning. The N

• Type: Conference
• Year: 2004
• Where: IADIS
• Authors: José Carlos Cortizo, J. Ignacio Giráldez
• Keywords: Attribute Values, IADIS 2004, IADIS 2008, Web Content Mining, Web Page