Web users usually suffer from the hitches of finding desirable and accurate information on the Web due to two problems of low precision and low recall caused by significant and rapid growth in the amount of information and the number of users. Thus there is a requirement to develop more proficient and effective techniques to satisfy the increasing demands of Web users, such as retrieving the desirable and related information, creating good quality Web communities, extracting the informative knowledge from the available information, capturing the underlying usage pattern from the Web observation data, recommending user customized information to offer better Internet service, and furthermore mining valuable business information from the common or individual customer navigational behaviour as well. we study different tools and techniques of Text Mining for IR. Main aim of this research work is to develop methods which will overcome the limitations of different Text Mining techniques studied and discussed above, for achieving accurate and efficient Information Retrieval process results.
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Web users usually suffer from the hitches of finding desirable and accurate information on the Web due to two problems of low precision and low recall caused by significant and rapid growth in the amount of information and the number of users. Thus there is a requirement to develop more proficient and effective techniques to satisfy the increasing demands of Web users, such as retrieving the desirable and related information, creating good quality Web communities, extracting the informative knowledge from the available information, capturing the underlying usage pattern from the Web observation data, recommending user customized information to offer better Internet service, and furthermore mining valuable business information from the common or individual customer navigational behaviour as well. we study different tools and techniques of Text Mining for IR. Main aim of this research work is to develop methods which will overcome the limitations of different Text Mining techniques studied and discussed above, for achieving accurate and efficient Information Retrieval process results.
Dr. Devesh Katiyar DSMNRU as Assistant Professor in the Department of Computer Science in 2015. He has been associated with the IT Industry, research and academics for the last twelve years. He has rich and diverse experience in academia and has been Visiting Professor at various Universities and Colleges.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Web users usually suffer from the hitches of finding desirable and accurate information on the Web due to two problems of low precision and low recall caused by significant and rapid growth in the amount of information and the number of users. Thus there is a requirement to develop more proficient and effective techniques to satisfy the increasing demands of Web users, such as retrieving the desirable and related information, creating good quality Web communities, extracting the informative knowledge from the available information, capturing the underlying usage pattern from the Web observation data, recommending user customized information to offer better Internet service, and furthermore mining valuable business information from the common or individual customer navigational behaviour as well. we study different tools and techniques of Text Mining for IR. Main aim of this research work is to develop methods which will overcome the limitations of different Text Mining techniques studied and discussed above, for achieving accurate and efficient Information Retrieval process results. 88 pp. Englisch. N° de réf. du vendeur 9786135891362
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Web users usually suffer from the hitches of finding desirable and accurate information on the Web due to two problems of low precision and low recall caused by significant and rapid growth in the amount of information and the number of users. Thus there is a requirement to develop more proficient and effective techniques to satisfy the increasing demands of Web users, such as retrieving the desirable and related information, creating good quality Web communities, extracting the informative knowledge from the available information, capturing the underlying usage pattern from the Web observation data, recommending user customized information to offer better Internet service, and furthermore mining valuable business information from the common or individual customer navigational behaviour as well. we study different tools and techniques of Text Mining for IR. Main aim of this research work is to develop methods which will overcome the limitations of different Text Mining techniques studied and discussed above, for achieving accurate and efficient Information Retrieval process results. N° de réf. du vendeur 9786135891362
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Katiyar DeveshDr. Devesh Katiyar DSMNRU as Assistant Professor in the Department of Computer Science in 2015. He has been associated with the IT Industry, research and academics for the last twelve years. He has rich and diverse expe. N° de réf. du vendeur 385844534
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Web users usually suffer from the hitches of finding desirable and accurate information on the Web due to two problems of low precision and low recall caused by significant and rapid growth in the amount of information and the number of users. Thus there is a requirement to develop more proficient and effective techniques to satisfy the increasing demands of Web users, such as retrieving the desirable and related information, creating good quality Web communities, extracting the informative knowledge from the available information, capturing the underlying usage pattern from the Web observation data, recommending user customized information to offer better Internet service, and furthermore mining valuable business information from the common or individual customer navigational behaviour as well. we study different tools and techniques of Text Mining for IR. Main aim of this research work is to develop methods which will overcome the limitations of different Text Mining techniques studied and discussed above, for achieving accurate and efficient Information Retrieval process results.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 88 pp. Englisch. N° de réf. du vendeur 9786135891362
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