Intelligent Data Mining and Information Retrieval from World Wide Web for E-Business Applications

There is a large increase in the amount of information available on World Wide Web and also in number of online databases. This information abundance increases the complexity of locating relevant information. Such a complexity drives the need for improved and intelligent search and retrieval engines. Current search engines are primarily passive instruments. Intelligent Agents can improve the performance of search and retrieval engines. The use of existing search and retrieval engines with the addition of an agent will allow a more comprehensive search with a performance that can be measured. This research study provides the building blocks for integrating intelligent agents with current search engines. It shows how an intelligent system can be constructed to assist in speedy information filtering, information gathering and information retrieval. The research study is unique in the way the agents are directed using an evolutionary Computing algorithm.