Deepti Gupta

Deepti Gupta received the M.Sc degree in Mathematics with Hons. from C.C.S University, Campus in the year 2006 and M.Tech from Shobhit Universiy in 2009. Presently, she is working as Lecturer in School of Computer Science and Information Technology in Shobhit University,Meerut.Her areas of interests are Search Engines, Crawlers and Data Mining.


 
 

Prof. A.

Deepti Gupta received the M.Sc degree in Mathematics with Hons. from C.C.S University, Campus in the year 2006 and M.Tech from Shobhit Universiy in 2009. Presently, she is working as Lecturer in School of Computer Science and Information Technology in Shobhit University,Meerut.Her areas of interests are Search Engines, Crawlers and Data Mining.


 
 

Dr. Komal

Deepti Gupta received the M.Sc degree in Mathematics with Hons. from C.C.S University, Campus in the year 2006 and M.Tech from Shobhit Universiy in 2009. Presently, she is working as Lecturer in School of Computer Science and Information Technology in Shobhit University,Meerut.Her areas of interests are Search Engines, Crawlers and Data Mining.


 
 
CHF 85 00 *inkl. MwSt.

Information Retrieval

A NOVEL INDEXING TECHNIQUE FOR WEB DOCUMENTS USING HIERARCHICAL CLUSTERING

Klappentext des Buches

The information on the WWW is growing at an exponential rate; therefore, search engines are required to index the downloaded Web documents more efficiently. A typical search engine comprises of the three main components. (1) Crawler: Given a URL, it combs through the pages on the web and gathers the required information for the search engine. (2) Indexer: While an index of 100,000 documents can be queried within millisecond; a sequential scan may take hours.An indexer that optimizes speed and performance for finding relevant documents for a search query (3) Page Repository: The information retrieved by the web crawler is stored in a database called page repository. Web mining techniques like clustering can be used for this purpose. The performance of a search engine is limited because of these two problems. (1) Low precision (2) Low recall. Thus, there is a need to develop efficient indexing technique. In this book, a novel technique is being discussed that not only indexes the downloaded web documents efficiently but also uses a web-mining technique to make the indexed information searchable, enabling the search engines to provide more relevant results.

VDM Verlag Dr. Müller e.K.
ISBN 978-3-639-17657-5, Paperback, 128 Seiten

 

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