Soft Computing Knowledge Discovery by Shanahan James (29 results)
Language: English
Published by Springer, 2000
Series: The Springer International Series in Engineering and Computer Science, Book 199 of 260. Book 199 of 260 - The Springer International Series in Engineering and Computer Science
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Condition: Fine. *Price HAS BEEN REDUCED by 10% until Monday, July 13 (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 duties, taxes…, or fees required by recipient's country.
Language: English
Published by Springer, 2000
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Language: English
Published by SPRINGER NATURE, 2000
Series: The Springer International Series in Engineering and Computer Science, Book 199 of 260. Book 199 of 260 - The Springer International Series in Engineering and Computer Science
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Condition: Sehr gut. Zustand: Sehr gut | Seiten: 326 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
Language: English
Published by Springer, 2000
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Language: English
Published by Springer, 2012
Series: The Springer International Series in Engineering and Computer Science, Book 199 of 260. Book 199 of 260 - The Springer International Series in Engineering and Computer Science
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Language: English
Published by Springer, 2012
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Language: English
Published by Springer, 2000
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Language: English
Published by Springer, 2012
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Language: English
Published by Springer, 2012
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Language: English
Published by Springer, 2000
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Language: English
Published by Springer, 2000
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Language: English
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Published by Springer, 2012
Series: The Springer International Series in Engineering and Computer Science, Book 199 of 260. Book 199 of 260 - The Springer International Series in Engineering and Computer Science
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Taschenbuch. Condition: 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[dot…]com | Anbieter: preigu.
Language: English
Published by Springer, 2012
Series: The Springer International Series in Engineering and Computer Science, Book 199 of 260. Book 199 of 260 - The Springer International Series in Engineering and Computer Science
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Condition: New. pp. 352.
Language: English
Published by Springer, 2000
Series: The Springer International Series in Engineering and Computer Science, Book 199 of 260. Book 199 of 260 - The Springer International Series in Engineering and Computer Science
- Hardcover
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Language: English
Published by Kluwer Academic Publishers, 2000
Series: The Springer International Series in Engineering and Computer Science, Book 199 of 260. Book 199 of 260 - The Springer International Series in Engineering and Computer Science
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Condition: 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 perspecti…ve. 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. . . . .
Language: English
Published by Springer US, 2000
Series: The Springer International Series in Engineering and Computer Science, Book 199 of 260. Book 199 of 260 - The Springer International Series in Engineering and Computer Science
- Hardcover
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Gebunden. Condition: 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.
Language: English
Published by Springer, Springer US, 2012
Series: The Springer International Series in Engineering and Computer Science, Book 199 of 260. Book 199 of 260 - The Springer International Series in Engineering and Computer Science
- Softcover
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Taschenbuch. Condition: 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 Kn…owledge 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.
Language: English
Published by Kluwer Academic Publishers, 2000
Series: The Springer International Series in Engineering and Computer Science, Book 199 of 260. Book 199 of 260 - The Springer International Series in Engineering and Computer Science
- Hardcover
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Condition: 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 perspecti…ve. 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.
Language: English
Published by Springer Nature B.V. Aug 2000, 2000
Series: The Springer International Series in Engineering and Computer Science, Book 199 of 260. Book 199 of 260 - The Springer International Series in Engineering and Computer Science
- Hardcover
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Buch. Condition: Neu. 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 sy…stematic 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.
Language: English
Published by Springer, 2012
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- Softcover
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Language: English
Published by Springer, Springer Nov 2012, 2012
Series: The Springer International Series in Engineering and Computer Science, Book 199 of 260. Book 199 of 260 - The Springer International Series in Engineering and Computer Science
- Softcover
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Taschenbuch. Condition: 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.
Language: English
Published by Springer US, 2012
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- Softcover
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Condition: 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 eff…iciently. Soft Computing f.
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Taschenbuch. Condition: 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 Compu…ting 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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Published by Springer, 2012
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Published by Springer, 2000
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Language: English
Published by Springer, 2000
Series: The Springer International Series in Engineering and Computer Science, Book 199 of 260. Book 199 of 260 - The Springer International Series in Engineering and Computer Science
- Hardcover
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