Understanding using rough set von raza muhammad (28 Ergebnisse)

Hardcover. Zustand: Very Good. 2. Auflage. Unread, some shelfwear. Immediately dispatched from Germany.

Paperback. Zustand: New. Brand new book, sourced directly from publisher. Dispatch time is 6-7 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Zustand: New. In English.

Zustand: New.

Zustand: New. pp. XVI, 236 147 illus., 27 illus. in color. 2nd ed. 2019 edition NO-PA16APR2015-KAP.

Zustand: As New. Unread book in perfect condition.

Zustand: New.

Zustand: New.

Taschenbuch. Zustand: Neu. Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications | Muhammad Summair Raza (u. a.) | Taschenbuch | xvi | Englisch | 2020 | Springer | EAN 9789813291683 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Zustand: New.

Zustand: New. In English.

Zustand: As New. Unread book in perfect condition.

Zustand: New.

Zustand: New. pp. XVI, 236 147 illus., 27 illus. in color. 2nd ed. 2019 edition NO-PA16APR2015-KAP.

Hardcover. Zustand: Brand New. 2nd edition. 254 pages. 9.25x6.10x0.90 inches. In Stock.

Zustand: New.

Hardcover. Zustand: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Zustand: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Zustand: new. Questo è un articolo print on demand.

Zustand: new. Questo è un articolo print on demand.

Kartoniert / Broschiert. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a comprehensive introduction to rough set-based feature selectionEnables the reader to systematically study all topics in rough set theory (RST)The book provides an essential reference guide for students, researchers, and developers w.…

Zustand: New. Print on Demand pp. XVI, 236 147 illus., 27 illus. in color.

Zustand: New. PRINT ON DEMAND pp. XVI, 236 147 illus., 27 illus. in color.

Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book provides a comprehensive introduction to rough set-based feature selection. Rough set theory, first proposed by Zdzislaw Pawlak in 1982, continues to evolve. Concerned with the classification and analysis of imprecise or uncertain information and knowledge, it has become a prominent tool for data analysis, and enables the reader to systematically study all topics in rough set theory (RST) including preliminaries, advanced concepts, and feature selection using RST. The book is supplemented with an RST-based API library that can be used to implement several RST concepts and RST-based feature selection algorithms.The book provides an essential reference guide for students, researchers, and developers working in the areas of feature selection, knowledge discovery, and reasoning with uncertainty, especially those who are working in RST and granular computing. The primary audience of this book is the research community using rough set theory (RST) to perform feature selection (FS) on large-scale datasets in various domains. However, any community interested in feature selection such as medical, banking, and finance can also benefit from the book.This second edition also covers the dominance-based rough set approach and fuzzy rough sets. The dominance-based rough set approach (DRSA) is an extension of the conventional rough set approach and supports the preference order using the dominance principle. In turn, fuzzy rough sets are fuzzy generalizations of rough sets. An API library for the DRSA is also provided with the second edition of the book.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 252 pp. Englisch.…

Gebunden. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a comprehensive introduction to rough set-based feature selectionEnables the reader to systematically study all topics in rough set theory (RST)The book provides an essential reference guide for students, researchers, and developers w.…

Zustand: New. Print on Demand pp. XVI, 236 147 illus., 27 illus. in color.

Buch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book provides a comprehensive introduction to rough set-based feature selection. Rough set theory, first proposed by Zdzislaw Pawlak in 1982, continues to evolve. Concerned with the classification and analysis of imprecise or uncertain information and knowledge, it has become a prominent tool for data analysis, and enables the reader to systematically study all topics in rough set theory (RST) including preliminaries, advanced concepts, and feature selection using RST. The book is supplemented with an RST-based API library that can be used to implement several RST concepts and RST-based feature selection algorithms.The book provides an essential reference guide for students, researchers, and developers working in the areas of feature selection, knowledge discovery, and reasoning with uncertainty, especially those who are working in RST and granular computing. The primary audience of this book is the research community using rough set theory (RST) to perform feature selection (FS) on large-scale datasets in various domains. However, any community interested in feature selection such as medical, banking, and finance can also benefit from the book.This second edition also covers the dominance-based rough set approach and fuzzy rough sets. The dominance-based rough set approach (DRSA) is an extension of the conventional rough set approach and supports the preference order using the dominance principle. In turn, fuzzy rough sets are fuzzy generalizations of rough sets. An API library for the DRSA is also provided with the second edition of the book.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 252 pp. Englisch.…

Zustand: New. PRINT ON DEMAND pp. XVI, 236 147 illus., 27 illus. in color.