Synopsis
About this Book: This book covers basic concepts of document pre-processing which are necessary for multistage document clustering. The practical knowledge of these concepts is required for the implementation of document clustering. This book describes the various document clustering methods and examines the similarity measure for document clustering. It also examines the few major factors for designing multistage document clustering using Rough set theory. It introduces the various document preprocessing & feature selection techniques relevant the proposed research work and also discusses the various stages required for clustering and its applicability to feature reduction. Therefore the elaboration of basic document preprocessing concept using rough set is provided in this book. It is written for the under graduate, post graduate students of Computer Science and Engineering and Information Technology. Document Preprocessing for any input text document. Feature Extraction techniques used for multistage document clustering. Dimensionality Reduction as Rough set approach is applied for document clustering. Rough Set ensemble is used for multistage document clustering
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Introduction to Multistage Document Clustering
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LAP LAMBERT Academic Publishing Jun 2019, 2019
ISBN 10: 3659780391
ISBN 13: 9783659780394
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -About this Book: This book covers basic concepts of document pre-processing which are necessary for multistage document clustering. The practical knowledge of these concepts is required for the implementation of document clustering. This book describes the various document clustering methods and examines the similarity measure for document clustering. It also examines the few major factors for designing multistage document clustering using Rough set theory. It introduces the various document preprocessing & feature selection techniques relevant the proposed research work and also discusses the various stages required for clustering and its applicability to feature reduction. Therefore the elaboration of basic document preprocessing concept using rough set is provided in this book. It is written for the under graduate, post graduate students of Computer Science and Engineering and Information Technology. Document Preprocessing for any input text document. Feature Extraction techniques used for multistage document clustering. Dimensionality Reduction as Rough set approach is applied for document clustering. Rough Set ensemble is used for multistage document clustering 136 pp. Englisch. Seller Inventory # 9783659780394
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Introduction to Multistage Document Clustering: Rough Set Approach
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Introduction to Multistage Document Clustering
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Patil LeenaDr. Leena H. Patil is Associate Professor in Computer Science & Engineering, Priyadarshini Institute of Engineering & Technology, Nagpur since 2005. Her research interest includes Compiler, Cyber Security and Data Minin. Seller Inventory # 300820577
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Introduction to Multistage Document Clustering: Rough Set Approach
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Introduction to Multistage Document Clustering: Rough Set Approach
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Introduction to Multistage Document Clustering: Rough Set Approach
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Introduction to Multistage Document Clustering
Published by
LAP LAMBERT Academic Publishing Jun 2019, 2019
ISBN 10: 3659780391
ISBN 13: 9783659780394
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -About this Book: This book covers basic concepts of document pre-processing which are necessary for multistage document clustering. The practical knowledge of these concepts is required for the implementation of document clustering. This book describes the various document clustering methods and examines the similarity measure for document clustering. It also examines the few major factors for designing multistage document clustering using Rough set theory. It introduces the various document preprocessing & feature selection techniques relevant the proposed research work and also discusses the various stages required for clustering and its applicability to feature reduction. Therefore the elaboration of basic document preprocessing concept using rough set is provided in this book. It is written for the under graduate, post graduate students of Computer Science and Engineering and Information Technology. Document Preprocessing for any input text document. Feature Extraction techniques used for multistage document clustering. Dimensionality Reduction as Rough set approach is applied for document clustering. Rough Set ensemble is used for multistage document clusteringVDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 136 pp. Englisch. Seller Inventory # 9783659780394
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Introduction to Multistage Document Clustering | Rough Set Approach
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Taschenbuch. Condition: Neu. Introduction to Multistage Document Clustering | Rough Set Approach | Leena Patil (u. a.) | Taschenbuch | 136 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9783659780394 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Seller Inventory # 116941398
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Introduction to Multistage Document Clustering : Rough Set Approach
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LAP LAMBERT Academic Publishing, 2019
ISBN 10: 3659780391
ISBN 13: 9783659780394
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - About this Book: This book covers basic concepts of document pre-processing which are necessary for multistage document clustering. The practical knowledge of these concepts is required for the implementation of document clustering. This book describes the various document clustering methods and examines the similarity measure for document clustering. It also examines the few major factors for designing multistage document clustering using Rough set theory. It introduces the various document preprocessing & feature selection techniques relevant the proposed research work and also discusses the various stages required for clustering and its applicability to feature reduction. Therefore the elaboration of basic document preprocessing concept using rough set is provided in this book. It is written for the under graduate, post graduate students of Computer Science and Engineering and Information Technology. Document Preprocessing for any input text document. Feature Extraction techniques used for multistage document clustering. Dimensionality Reduction as Rough set approach is applied for document clustering. Rough Set ensemble is used for multistage document clustering. Seller Inventory # 9783659780394
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