Mining Information in Order to Extract Hidden and Strategic Information
Taoufiq Dkaki, Bernard Dousset, Josiane Mothe · 1997
The amount of information available throughout the Internet or through specific collections is so huge that more and more sophisticated information handling systems are necessary to exploit it. In addition to efficient retrieval engines, the users need some tools to be able to analyse the relevant information without having to read all of it. Knowledge Discovery Systems main objective is to turn some selected pieces of raw information into knowledge or generalized patterns. Such a process includes a lot of problems to solve all over the three knowledge discovery phases: information harvesting and selection, information mining, results displaying. In this paper we present an interactive method to achieve knowledge discovery. It is based on information harvesting, homogenization and filtering. The discovery process itself is achieved making several modules cooperate : different mining functions and visualization modules dynamically interact-directed by the user. The operational software ...