[EAN: 9783639176575], Neubuch, [PU: Bertrams Print On Demand], - The information on the WWW is growing at an exponential rate; therefore, search engines are required to index the download… Mehr…
[EAN: 9783639176575], Neubuch, [PU: Bertrams Print On Demand], - 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.<128 pp. Englisch<
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[ED: Kartoniert/Broschiert], [PU: Vdm Verlag], - 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.<, [SC: 7.50]<
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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 compri… Mehr…
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 sear Internet,Datenkommunikation,Netzwerke<
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[EAN: 9783639176575], Neubuch, [PU: Bertrams Print On Demand], - The information on the WWW is growing at an exponential rate; therefore, search engines are required to index the download… Mehr…
[EAN: 9783639176575], Neubuch, [PU: Bertrams Print On Demand], - 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.<128 pp. Englisch<
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[ED: Kartoniert/Broschiert], [PU: Vdm Verlag], - The information on the WWW is growing at an exponential rate; therefore, search engines are required to index the downloaded Web documents… Mehr…
[ED: Kartoniert/Broschiert], [PU: Vdm Verlag], - 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.<, [SC: 7.50]<
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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 compri… Mehr…
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 sear Internet,Datenkommunikation,Netzwerke<
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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.
Detailangaben zum Buch - Information Retrieval
EAN (ISBN-13): 9783639176575 ISBN (ISBN-10): 363917657X Gebundene Ausgabe Erscheinungsjahr: 2010 Herausgeber: VDM VERLAG DR M. USA
Buch in der Datenbank seit 2011-04-06T11:45:35+02:00 (Zurich) Detailseite zuletzt geändert am 2017-10-16T10:41:22+02:00 (Zurich) ISBN/EAN: 9783639176575
ISBN - alternative Schreibweisen: 3-639-17657-X, 978-3-639-17657-5 Alternative Schreibweisen und verwandte Suchbegriffe: Autor des Buches: gupta, vdm verlag
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