Sinossi
Information retrieval technology has been central to the success of the web. The goal of information retrieval is to provide users with those documents that will satisfy their information need. With the large volume of data available in the web, retrieving relevant information becomes a difficult task. The common reason for this problem is that currently content-description and query-processing techniques for information retrieval are based on keywords. This involves limitations such as inability to describe semantic relations between search terms. Semantically-enhanced information retrieval overcomes the limitations faced by keyword based search since the focus is on semantics leading to better and accurate results. Even for the use of semantic technology, efficient clustering techniques are needed to improve the relevancy of documents, and also optimization problem occurs, but is rarely considered. The main objective of Document-Clustering is to avoid the recovery of non-relevant documents.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Risultati della ricerca per Semantic Document Clustering Using Soft Computing Techniques
Immagini fornite dal venditore
Semantic Document Clustering Using Soft Computing Techniques
Editore:
LAP LAMBERT Academic Publishing Nov 2018, 2018
ISBN 10: 6139967791
ISBN 13: 9786139967797
Nuovo
Taschenbuch
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Information retrieval technology has been central to the success of the web. The goal of information retrieval is to provide users with those documents that will satisfy their information need. With the large volume of data available in the web, retrieving relevant information becomes a difficult task. The common reason for this problem is that currently content-description and query-processing techniques for information retrieval are based on keywords. This involves limitations such as inability to describe semantic relations between search terms. Semantically-enhanced information retrieval overcomes the limitations faced by keyword based search since the focus is on semantics leading to better and accurate results. Even for the use of semantic technology, efficient clustering techniques are needed to improve the relevancy of documents, and also optimization problem occurs, but is rarely considered. The main objective of Document-Clustering is to avoid the recovery of non-relevant documents. 128 pp. Englisch. Codice articolo 9786139967797
Compra nuovo
EUR 54,90
Spedizione EUR 23,00
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 2 disponibili
Immagini fornite dal venditore
Semantic Document Clustering Using Soft Computing Techniques
Editore:
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139967791
ISBN 13: 9786139967797
Nuovo
Brossura
Da: moluna, Greven, Germania
Valutazione del venditore 4 su 5 stelle
Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Janagaraj AvanijaDr J. Avanija completed her Ph.D at Anna University Chennai, India. Currently she is working as an Associate Prof. in the Department of Computer Science and Engineering at Sree Vidyanikethan Engineering College, Tiru. Codice articolo 261128626
Compra nuovo
EUR 45,45
Spedizione EUR 48,99
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: Più di 20 disponibili
Immagini fornite dal venditore
Semantic Document Clustering Using Soft Computing Techniques
Editore:
LAP LAMBERT Academic Publishing Nov 2018, 2018
ISBN 10: 6139967791
ISBN 13: 9786139967797
Nuovo
Taschenbuch
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. Neuware -Information retrieval technology has been central to the success of the web. The goal of information retrieval is to provide users with those documents that will satisfy their information need. With the large volume of data available in the web, retrieving relevant information becomes a difficult task. The common reason for this problem is that currently content-description and query-processing techniques for information retrieval are based on keywords. This involves limitations such as inability to describe semantic relations between search terms. Semantically-enhanced information retrieval overcomes the limitations faced by keyword based search since the focus is on semantics leading to better and accurate results. Even for the use of semantic technology, efficient clustering techniques are needed to improve the relevancy of documents, and also optimization problem occurs, but is rarely considered. The main objective of Document-Clustering is to avoid the recovery of non-relevant documents.Books on Demand GmbH, Überseering 33, 22297 Hamburg 128 pp. Englisch. Codice articolo 9786139967797
Compra nuovo
EUR 54,90
Spedizione EUR 60,00
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 2 disponibili
Immagini fornite dal venditore
Semantic Document Clustering Using Soft Computing Techniques
Editore:
LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6139967791
ISBN 13: 9786139967797
Nuovo
Taschenbuch
Da: AHA-BUCH GmbH, Einbeck, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Information retrieval technology has been central to the success of the web. The goal of information retrieval is to provide users with those documents that will satisfy their information need. With the large volume of data available in the web, retrieving relevant information becomes a difficult task. The common reason for this problem is that currently content-description and query-processing techniques for information retrieval are based on keywords. This involves limitations such as inability to describe semantic relations between search terms. Semantically-enhanced information retrieval overcomes the limitations faced by keyword based search since the focus is on semantics leading to better and accurate results. Even for the use of semantic technology, efficient clustering techniques are needed to improve the relevancy of documents, and also optimization problem occurs, but is rarely considered. The main objective of Document-Clustering is to avoid the recovery of non-relevant documents. Codice articolo 9786139967797
Compra nuovo
EUR 55,56
Spedizione EUR 61,05
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 1 disponibili
Immagini fornite dal venditore
Semantic Document Clustering Using Soft Computing Techniques
Editore:
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139967791
ISBN 13: 9786139967797
Nuovo
Taschenbuch
Da: preigu, Osnabrück, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. Semantic Document Clustering Using Soft Computing Techniques | Avanija Janagaraj | Taschenbuch | 128 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786139967797 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Codice articolo 115130005
Compra nuovo
EUR 47,85
Spedizione EUR 70,00
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 5 disponibili
Foto dell'editore
Semantic Document Clustering Using Soft Computing Techniques
Editore:
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139967791
ISBN 13: 9786139967797
Antico o usato
Brossura
Da: Buchpark, Trebbin, Germania
Valutazione del venditore 5 su 5 stelle
Condizione: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | Information retrieval technology has been central to the success of the web. The goal of information retrieval is to provide users with those documents that will satisfy their information need. With the large volume of data available in the web, retrieving relevant information becomes a difficult task. The common reason for this problem is that currently content-description and query-processing techniques for information retrieval are based on keywords. This involves limitations such as inability to describe semantic relations between search terms. Semantically-enhanced information retrieval overcomes the limitations faced by keyword based search since the focus is on semantics leading to better and accurate results. Even for the use of semantic technology, efficient clustering techniques are needed to improve the relevancy of documents, and also optimization problem occurs, but is rarely considered. The main objective of Document-Clustering is to avoid the recovery of non-relevant documents. Codice articolo 33335541/1
Compra usato
EUR 34,63
Spedizione EUR 105,00
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 1 disponibili