Information Retrieval. A NOVEL INDEXING TECHNIQUE FOR WEB DOCUMENTS USING HIERARCHICAL CLUSTERING

Information Retrieval. A NOVEL INDEXING TECHNIQUE FOR WEB DOCUMENTS USING HIERARCHICAL CLUSTERING

Deepti Gupta, Prof. A., Dr. Komal

     

бумажная книга



Издательство: Книга по требованию
Дата выхода: июль 2011
ISBN: 978-3-6391-7657-5
Объём: 128 страниц
Масса: 215 г
Размеры(В x Ш x Т), см: 23 x 16 x 1

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.

Данное издание не является оригинальным. Книга печатается по технологии принт-он-деманд после получения заказа.

Каталог