Data Mining and Knowledge Engineering

Bineet Kumar Gupta ¹, Mohd. Husain ²

Affiliations
1 NIMS University, Jaipur, (Raj.), IN
2 M.G. Institute of Management & Technology, Lucknow, IN

Abstract

Now a days Internet has become a vast source to  retrieve information and more over size of accessed information's has been enlarging day by day. It is to be concentrated that any method to access the information needs a proper ordering to get perfect information. As web users are getting the problems of information overload because of significant and rapid growth in the amount of information t be accessed and the number of users therefore there is need to design a platform for Web users for exactly needed information which is becoming a critical issue in web-based information retrieval and Web applications In this paper we are proposing a new algorithm to rank aggregation method and it could be analyzed that our methodology has the advantage of being applicable in a variety of contexts and tries to use as much information as available. Our method is simple for implementation and do not have any computational overhead as compared to other methods.

Keywords

Crawling, Multi-Criteria Selection, Meta Search Engines, Rank Aggregation, Word Association.

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