ABSTRACT

Text mining is to research technologies to discover useful knowledge from enormous collections of documents, and to develop a system to provide knowledge and to support in decision making. Basically cluster means a group of similar data, document clustering means segregating the data into different groups of similar data. Clustering is a fundamental data analysis technique used for various applications such as biology, psychology, control and signal processing, information theory and mining technologies. Text mining is not a stand-alone task that human analysts typically engage in. The goal is to transform text composed of everyday language into a structured, database format. In this way, heterogeneous documents are summarized and presented in a uniform manner. Among others, the challenging problems of text clustering are big volume, high dimensionality and complex semantics.