Introduction to Multistage Document Clustering: Rough Set Approach
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Bester Preis: Fr. 58.79 (€ 60.12)¹ (vom 07.08.2019)1
Introduction to Multistage Document Clustering : Rough Set Approach (2019)
~EN PB NW
ISBN: 9783659780394 bzw. 3659780391, vermutlich in Englisch, LAP Lambert Academic Publishing Jul 2019, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandkostenfrei.
Von Händler/Antiquariat, AHA-BUCH GmbH [51283250], Einbeck, Germany.
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.
Von Händler/Antiquariat, AHA-BUCH GmbH [51283250], Einbeck, Germany.
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.
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Introduction to Multistage Document Clustering - Rough Set Approach
~EN PB NW
ISBN: 9783659780394 bzw. 3659780391, vermutlich in Englisch, LAP Lambert Academic Publishing, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandkostenfrei.
Introduction to Multistage Document Clustering: 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, Englisch, Taschenbuch.
Introduction to Multistage Document Clustering: 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, Englisch, Taschenbuch.
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Introduction to Multistage Document Clustering - Rough Set Approach (2019)
~EN PB NW
ISBN: 9783659780394 bzw. 3659780391, vermutlich in Englisch, 136 Seiten, LAP Lambert Academic Publishing, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandkosten nach: Deutschland, Versandkostenfrei.
Von Händler/Antiquariat, Syndikat Buchdienst, [4235284].
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, 2019, Taschenbuch / Paperback, Neuware, H: 220mm, B: 150mm, 136, Internationaler Versand, Selbstabholung und Barzahlung, PayPal, offene Rechnung, Banküberweisung.
Von Händler/Antiquariat, Syndikat Buchdienst, [4235284].
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, 2019, Taschenbuch / Paperback, Neuware, H: 220mm, B: 150mm, 136, Internationaler Versand, Selbstabholung und Barzahlung, PayPal, offene Rechnung, Banküberweisung.
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Introduction to Multistage Document Clustering: Rough Set Approach (2019)
EN PB NW
ISBN: 9783659780394 bzw. 3659780391, in Englisch, 136 Seiten, LAP LAMBERT Academic Publishing, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandfertig in 1 - 2 Werktagen, Versandkostenfrei. Tatsächliche Versandkosten können abweichen.
Von Händler/Antiquariat, M & L aus Deutschland.
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Von Händler/Antiquariat, M & L aus Deutschland.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
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