A Novel Indexing Technique for Web Documents using Hierarchical Clustering

The information on the WWW is growing at an exponential rate; therefore, search engines are required to index the downloaded Web documents more efficiently. Web mining techniques like clustering can be used for this purpose. In this paper, a novel technique to index the documents is being proposed that not only indexes the documents more efficiently but also uses hierarchical clustering to keep the information based upon similarity measure and fuzzy string matching. This technique keeps the related documents in the same cluster so that searching of documents becomes more efficient in terms of time complexity.