Construction of suffix tree using key phrases for document using down-top incremental conceptual hierarchical text clustering approach

With development of technologies in the World Wide Web, usage of document increases day by day. In order to access the document easily, document clustering technique is introduced. In the field of data mining, document clustering plays a vital role. Organizing the unstructured and unlabeled document is one of the major problems and it is ever growing and complex. Handling of such unorganized documents causes more expensive. Hence, challenges raised by the continuing growth of unstructured and unlabeled documents are handled in this proposed work. Document clustering is one of the most powerful methods to solve the problem of organizing unstructured documents. There are numerous clustering methods available. In this we were proposed phrase-based clustering algorithm, which is based on the applications of suffix tree document clustering model. The proposed algorithm is designed to use the suffix tree document clustering (STDC) model for accurate representation of document and similarity measurement of the similar documents. This proposed algorithm gives more than 90% accuracy.