Synopsis
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.
"synopsis" may belong to another edition of this title.
Search results for Semantic Document Clustering Using Soft Computing Techniques
Seller Image
Semantic Document Clustering Using Soft Computing Techniques
Published by
LAP LAMBERT Academic Publishing Nov 2018, 2018
ISBN 10: 6139967791
ISBN 13: 9786139967797
New
Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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. Seller Inventory # 9786139967797
Stock Image
Semantic Document Clustering Using Soft Computing Techniques
Published by
LAP Lambert Academic Publishing, 2019
ISBN 10: 6139967791
ISBN 13: 9786139967797
New
Softcover
Seller: Books Puddle, New York, NY, U.S.A.
Seller rating 4 out of 5 stars
Condition: New. Seller Inventory # 26376133130
Stock Image
Semantic Document Clustering Using Soft Computing Techniques
Published by
LAP Lambert Academic Publishing, 2019
ISBN 10: 6139967791
ISBN 13: 9786139967797
New
Softcover
Seller: Majestic Books, Hounslow, United Kingdom
Seller rating 4 out of 5 stars
Condition: New. Print on Demand. Seller Inventory # 370993621
Buy New
£ 73.11
£ 6.50 shipping
Ships from United Kingdom to U.S.A.
Ships from United Kingdom to U.S.A.
Quantity: 4 available
Seller Image
Semantic Document Clustering Using Soft Computing Techniques
Published by
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139967791
ISBN 13: 9786139967797
New
Softcover
Seller: moluna, Greven, Germany
Seller rating 4 out of 5 stars
Condition: 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. Seller Inventory # 261128626
Buy New
£ 40.72
£ 42.62 shipping
Ships from Germany to U.S.A.
Ships from Germany to U.S.A.
Quantity: Over 20 available
Stock Image
Semantic Document Clustering Using Soft Computing Techniques
Published by
LAP Lambert Academic Publishing, 2019
ISBN 10: 6139967791
ISBN 13: 9786139967797
New
Softcover
Seller: Biblios, Frankfurt am main, HESSE, Germany
Seller rating 4 out of 5 stars
Condition: New. PRINT ON DEMAND. Seller Inventory # 18376133120
Seller Image
Semantic Document Clustering Using Soft Computing Techniques
Published by
LAP LAMBERT Academic Publishing Nov 2018, 2018
ISBN 10: 6139967791
ISBN 13: 9786139967797
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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. Seller Inventory # 9786139967797
Seller Image
Semantic Document Clustering Using Soft Computing Techniques
Published by
LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6139967791
ISBN 13: 9786139967797
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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. Seller Inventory # 9786139967797
Seller Image
Semantic Document Clustering Using Soft Computing Techniques
Published by
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139967791
ISBN 13: 9786139967797
New
Taschenbuch
Seller: preigu, Osnabrück, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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. Seller Inventory # 115130005
Stock Image
Semantic Document Clustering Using Soft Computing Techniques
Published by
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139967791
ISBN 13: 9786139967797
Used
Softcover
Seller: Buchpark, Trebbin, Germany
Seller rating 5 out of 5 stars
Condition: 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. Seller Inventory # 33335541/1