Modified Taxonomy Based Anita Approach for Dynamic Environment
Organizing text documents is an important task and there exists numbers of strategies in the recent research. A good document clustering approach can assist computers in organizing the document corpus automatically into a meaningful cluster hierarchy for efficient browsing and navigation, which overcomes the drawbacks of traditional information retrieval methods. Through clustering, the documents sharing same topic are grouped together. Hence clustering is also known as unsupervised learning. In case of term based data retrieval, time consumption problem prevails. This paper concentrates on taxonomy based data retrieval. Taxonomies, which facilitates the organization of data in a given domain and make the contents easy access to the user This paper presents the taxonomical approach of clustering data set in a dynamic environment. The existing static ANITA approach has modified for dynamic environment and results are presented.