A Study: Web Data Mining Challenges and Application for Information Extraction

Abstract

Data mining has attracted a great deal of attention in the information industry and in society as a whole in recent years, due to the wide availability of huge amounts of data and the imminent need for turning such data into useful information and knowledge. The information and knowledge gained can be used for applications ranging from market analysis, fraud detection, and customer retention, to production control and various explorations. The aim of this paper is to explore the role of data mining for information extraction in web content, structure and usages mining in current web models, and the outlines the process of extracting patterns from data. This paper also present data mining primitives, from which data mining query languages can be designed. Issues regarding how to integrate a data mining system with a database or data warehouse are also discussed. In addition to studying a classification of data mining systems, and it's challenging research issues for building data mining tools of the future.