Synopsis
In the most recent years, with the massive expansion of the information society, the web has become a precious source of information for almost every potential domain of knowledge. This has induced many researches to initiate considering the web as a legitimate repository for Information Retrieval (IR) and knowledge acquisition tasks. The Web consists of the massive amount of information relating to every possible domain and its high redundancy, can be a valid knowledge source for similarity computation. Therefore, text mining systems faces with a huge amount of attributes. The knowledge discovery in database systems requires input texts to be represented as a set of attributes in order to deal with them. The text-to-representation method is known as text or document indexing, and the attributes are called indexes. Indexing becomes a critical task in text mining because it has to represent the information in the text with the minimum loss of semantics for its future usage.
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Concept Based Indexing for Medical Document Clustering
Edité par
LAP LAMBERT Academic Publishing Nov 2017, 2017
ISBN 10 : 6202072415
ISBN 13 : 9786202072410
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In the most recent years, with the massive expansion of the information society, the web has become a precious source of information for almost every potential domain of knowledge. This has induced many researches to initiate considering the web as a legitimate repository for Information Retrieval (IR) and knowledge acquisition tasks. The Web consists of the massive amount of information relating to every possible domain and its high redundancy, can be a valid knowledge source for similarity computation. Therefore, text mining systems faces with a huge amount of attributes. The knowledge discovery in database systems requires input texts to be represented as a set of attributes in order to deal with them. The text-to-representation method is known as text or document indexing, and the attributes are called indexes. Indexing becomes a critical task in text mining because it has to represent the information in the text with the minimum loss of semantics for its future usage. 72 pp. Englisch. N° de réf. du vendeur 9786202072410
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Concept Based Indexing for Medical Document Clustering
Edité par
LAP LAMBERT Academic Publishing, 2017
ISBN 10 : 6202072415
ISBN 13 : 9786202072410
Neuf
Paperback
Vendeur : Revaluation Books, Exeter, Royaume-Uni
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Paperback. Etat : Brand New. 72 pages. 8.66x5.91x0.17 inches. In Stock. N° de réf. du vendeur zk6202072415
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Concept Based Indexing for Medical Document Clustering
Edité par
LAP LAMBERT Academic Publishing, 2017
ISBN 10 : 6202072415
ISBN 13 : 9786202072410
Neuf
Couverture souple
Vendeur : moluna, Greven, Allemagne
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Shanmugam LogeswariDr.S.Logeswari has completed her UG in 1997 and she has 20 years of experience in teaching. She has completed her Ph.D in 2015. Presently she is working as Associate Professor in the Department of Computer Science . N° de réf. du vendeur 385924796
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Concept Based Indexing for Medical Document Clustering
Edité par
LAP LAMBERT Academic Publishing Nov 2017, 2017
ISBN 10 : 6202072415
ISBN 13 : 9786202072410
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -In the most recent years, with the massive expansion of the information society, the web has become a precious source of information for almost every potential domain of knowledge. This has induced many researches to initiate considering the web as a legitimate repository for Information Retrieval (IR) and knowledge acquisition tasks. The Web consists of the massive amount of information relating to every possible domain and its high redundancy, can be a valid knowledge source for similarity computation. Therefore, text mining systems faces with a huge amount of attributes. The knowledge discovery in database systems requires input texts to be represented as a set of attributes in order to deal with them. The text-to-representation method is known as text or document indexing, and the attributes are called indexes. Indexing becomes a critical task in text mining because it has to represent the information in the text with the minimum loss of semantics for its future usage.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 72 pp. Englisch. N° de réf. du vendeur 9786202072410
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Concept Based Indexing for Medical Document Clustering
Edité par
LAP LAMBERT Academic Publishing, 2017
ISBN 10 : 6202072415
ISBN 13 : 9786202072410
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In the most recent years, with the massive expansion of the information society, the web has become a precious source of information for almost every potential domain of knowledge. This has induced many researches to initiate considering the web as a legitimate repository for Information Retrieval (IR) and knowledge acquisition tasks. The Web consists of the massive amount of information relating to every possible domain and its high redundancy, can be a valid knowledge source for similarity computation. Therefore, text mining systems faces with a huge amount of attributes. The knowledge discovery in database systems requires input texts to be represented as a set of attributes in order to deal with them. The text-to-representation method is known as text or document indexing, and the attributes are called indexes. Indexing becomes a critical task in text mining because it has to represent the information in the text with the minimum loss of semantics for its future usage. N° de réf. du vendeur 9786202072410
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Concept Based Indexing for Medical Document Clustering
Edité par
LAP LAMBERT Academic Publishing, 2017
ISBN 10 : 6202072415
ISBN 13 : 9786202072410
Neuf
Taschenbuch
Vendeur : preigu, Osnabrück, Allemagne
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Taschenbuch. Etat : Neu. Concept Based Indexing for Medical Document Clustering | Logeswari Shanmugam (u. a.) | Taschenbuch | 72 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9786202072410 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 110641818
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