A Descriptive Framework for Information Retrieval Using Crawler Based Clustering and Effective Search Algorithm
Abstract
Information Retrieval is the most predominant topic in the field of Information Systems as the generation of data over various systems and channels is growing every day. The proposed system which works on the offline basis is designed for the purpose of organizing data in a defined manner and for the purpose of increasing relevancy in the retrieval of the required information from this largely generated data. In the proposed system two novel algorithms, Dynamic Path Selection Clustering (DPSC) algorithm for clustering and the Rearward Binary Window Match (RBWM) algorithm for search process are introduced to overcome the difficulty in data organization and search. The evaluation of the entire system is done and the results are compared along with the results of the existing techniques.
