Soft computing knowledge discovery di shanahan james (28 risultati)
Lingua: Inglese
Editore: Springer, 2000
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Condizione: Fine. *Price HAS BEEN REDUCED by 10% until Tuesday, Sept. 8 (holiday SALE item)* 326 pp., Hardcover, minor marginalia to 1 page else fine. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional dut…ies, taxes, or fees required by recipient's country.
Lingua: Inglese
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hardcover. Condizione: New. In shrink wrap. Looks like an interesting title.
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Editore: SPRINGER NATURE, 2000
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Condizione: Sehr gut. Zustand: Sehr gut | Seiten: 326 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
Lingua: Inglese
Editore: Springer, 2000
Serie: Libro 199 di 260 - The Springer International Series in Engineering and Computer Science
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Lingua: Inglese
Editore: Springer, 2012
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Lingua: Inglese
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Lingua: Inglese
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Lingua: Inglese
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Editore: Springer, Springer US, 2012
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Knowledge discovery is an area of computer science that attempts to uncover interesting and useful patterns in data that permit a computer to perform a task autonomously or assist a human in performing a task more efficiently. Soft Computing for K…nowledge Discovery provides a self-contained and systematic exposition of the key theory and algorithms that form the core of knowledge discovery from a soft computing perspective. It focuses on knowledge representation, machine learning, and the key methodologies that make up the fabric of soft computing - fuzzy set theory, fuzzy logic, evolutionary computing, and various theories of probability (e.g. naïve Bayes and Bayesian networks, Dempster-Shafer theory, mass assignment theory, and others). In addition to describing many state-of-the-art soft computing approaches to knowledge discovery, the author introduces Cartesian granule features and their corresponding learning algorithms as an intuitive approach to knowledge discovery. This new approach embraces the synergistic spirit of soft computing and exploits uncertainty in order to achieve tractability, transparency and generalization. Parallels are drawn between this approach and other well known approaches (such as naive Bayes and decision trees) leading to equivalences under certain conditions. The approaches presented are further illustrated in a battery of both artificial and real-world problems. Knowledge discovery in real-world problems, such as object recognition in outdoor scenes, medical diagnosis and control, is described in detail. These case studies provide further examples of how to apply the presented concepts and algorithms to practical problems. The author provides web page access to an online bibliography, datasets, source codes for several algorithms described in the book, and other information. Soft Computing for Knowledge Discovery is for advanced undergraduates,professionals and researchers in computer science, engineering and business information systems who work or have an interest in the dynamic fields of knowledge discovery and soft computing.
Lingua: Inglese
Editore: Springer, 2012
Serie: Libro 199 di 260 - The Springer International Series in Engineering and Computer Science
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Condizione: New. pp. 352.
Altre immaginiLingua: Inglese
Editore: Springer, 2012
Serie: Libro 199 di 260 - The Springer International Series in Engineering and Computer Science
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Taschenbuch. Condizione: Neu. Soft Computing for Knowledge Discovery | Introducing Cartesian Granule Features | James G. Shanahan | Taschenbuch | xxi | Englisch | 2012 | Springer | EAN 9781461369479 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[do…t]com | Anbieter: preigu.
Lingua: Inglese
Editore: Springer, 2000
Serie: Libro 199 di 260 - The Springer International Series in Engineering and Computer Science
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Condizione: New. pp. 352.
Lingua: Inglese
Editore: Kluwer Academic Publishers, 2000
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Condizione: New. Knowledge discovery is an area of computer science that attempts to uncover interesting patterns in data that permit a computer to perform a task autonomously. This title provides a self-contained exposition of the key theory and algorithms that form the core of knowledge discovery from a soft computing perspect…ive. Series: The Springer International Series in Engineering and Computer Science. Num Pages: 326 pages, biography. BIC Classification: UKR; UYQ. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 20. Weight in Grams: 1480. . 2000. Hardback. . . . .
Lingua: Inglese
Editore: Springer US, 2000
Serie: Libro 199 di 260 - The Springer International Series in Engineering and Computer Science
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Gebunden. Condizione: New. Knowledge discovery is an area of computer science that attempts to uncover interesting and useful patterns in data that permit a computer to perform a task autonomously or assist a human in performing a task more efficiently. Soft Computing f.
Lingua: Inglese
Editore: Kluwer Academic Publishers, 2000
Serie: Libro 199 di 260 - The Springer International Series in Engineering and Computer Science
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Condizione: New. Knowledge discovery is an area of computer science that attempts to uncover interesting patterns in data that permit a computer to perform a task autonomously. This title provides a self-contained exposition of the key theory and algorithms that form the core of knowledge discovery from a soft computing perspect…ive. Series: The Springer International Series in Engineering and Computer Science. Num Pages: 326 pages, biography. BIC Classification: UKR; UYQ. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 20. Weight in Grams: 1480. . 2000. Hardback. . . . . Books ship from the US and Ireland.
Lingua: Inglese
Editore: Springer, 2012
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Knowledge discovery is an area of computer science that attempts to uncover interesting and useful patterns in data that permit a computer to perform a task autonomously or assist a human in performing a task more efficiently. Soft… Computing for Knowledge Discovery provides a self-contained and systematic exposition of the key theory and algorithms that form the core of knowledge discovery from a soft computing perspective. It focuses on knowledge representation, machine learning, and the key methodologies that make up the fabric of soft computing - fuzzy set theory, fuzzy logic, evolutionary computing, and various theories of probability (e.g. naïve Bayes and Bayesian networks, Dempster-Shafer theory, mass assignment theory, and others). In addition to describing many state-of-the-art soft computing approaches to knowledge discovery, the author introduces Cartesian granule features and their corresponding learning algorithms as an intuitive approach to knowledge discovery. This new approach embraces the synergistic spirit of soft computing and exploits uncertainty in order to achieve tractability, transparency and generalization. Parallels are drawn between this approach and other well known approaches (such as naive Bayes and decision trees) leading to equivalences under certain conditions. The approaches presented are further illustrated in a battery of both artificial and real-world problems. Knowledge discovery in real-world problems, such as object recognition in outdoor scenes, medical diagnosis and control, is described in detail. These case studies provide further examples of how to apply the presented concepts and algorithms to practical problems. The author provides web page access to an online bibliography, datasets, source codes for several algorithms described in the book, and other information. Soft Computing for Knowledge Discovery is for advanced undergraduates,professionals and researchers in computer science, engineering and business information systems who work or have an interest in the dynamic fields of knowledge discovery and soft computing. 352 pp. Englisch.
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Knowledge discovery is an area of computer science that attempts to uncover interesting and useful patterns in data that permit a computer to perform a task autonomously or assist a human in performing a task more ef…ficiently. Soft Computing f.
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Condizione: New. Print on Demand pp. 352 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Knowledge discovery is an area of computer science that attempts to uncover interesting and useful patterns in data that permit a computer to perform a task autonomously or assist a human in performing a task more efficiently.Soft Comp…uting for Knowledge Discovery provides a self-contained and systematic exposition of the key theory and algorithms that form the core of knowledge discovery from a soft computing perspective. It focuses on knowledge representation, machine learning, and the key methodologies that make up the fabric of soft computing - fuzzy set theory, fuzzy logic, evolutionary computing, and various theories of probability (e.g. naïve Bayes and Bayesian networks, Dempster-Shafer theory, mass assignment theory, and others). In addition to describing many state-of-the-art soft computing approaches to knowledge discovery, the author introduces Cartesian granule features and their corresponding learning algorithms as an intuitive approach to knowledge discovery. This new approach embraces the synergistic spirit of soft computing and exploits uncertainty in order to achieve tractability, transparency and generalization. Parallels are drawn between this approach and other well known approaches (such as naive Bayes and decision trees) leading to equivalences under certain conditions.The approaches presented are further illustrated in a battery of both artificial and real-world problems. Knowledge discovery in real-world problems, such as object recognition in outdoor scenes, medical diagnosis and control, is described in detail. These case studies provide further examples of how to apply the presented concepts and algorithms to practical problems.The author provides web page access to an online bibliography, datasets, source codes for several algorithms described in the book, and other information.Soft Computing for Knowledge Discovery is for advanced undergraduates,professionals and researchers in computer science, engineering and business information systems who work or have an interest in the dynamic fields of knowledge discovery and soft computing.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 352 pp. Englisch.
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Condizione: New. Print on Demand pp. 352 Illus.
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Condizione: New. PRINT ON DEMAND pp. 352.
Lingua: Inglese
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Condizione: New. PRINT ON DEMAND pp. 352.
