9786139967797 - Semantic Document Clustering Using Soft Computing Techniques de Janagaraj, Avanija (9 resultados)

Condición: New.

Taschenbuch. Condición: 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.

Condición: 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.

Taschenbuch. Condición: 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.

Condición: New. Print on Demand.

Condición: 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.

Condición: New. PRINT ON DEMAND.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. 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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 128 pp. Englisch.

Taschenbuch. Condición: 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.