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Taschenbuch. Condition: Neu. Data Mining for Design and Manufacturing | Methods and Applications | D. Braha | Taschenbuch | Massive Computing | xviii | Englisch | 2010 | Springer | EAN 9781441952059 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Condition: New. pp. 548.
Language: English
Published by Kluwer Academic Publishers, 2001
ISBN 10: 1402000340 ISBN 13: 9781402000348
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Condition: New. Brings together research and applications for data mining within design and manufacturing. This book aims: to clarify the integration of data mining in engineering design and manufacturing, to present a range of domains to which data mining can be applied, and to show the need for symbiotic collaboration of expertise in design and manufacturing. Editor(s): Braha, Dan. Series: Massive Computing. Num Pages: 542 pages, biography. BIC Classification: UN. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 30. Weight in Grams: 940. . 2001. Hardback. . . . .
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Language: English
Published by Springer US, Springer US, 2010
ISBN 10: 1441952055 ISBN 13: 9781441952059
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Data Mining for Design and Manufacturing: Methods and Applications is the first book that brings together research and applications for data mining within design and manufacturing. The aim of the book is 1) to clarify the integration of data mining in engineering design and manufacturing, 2) to present a wide range of domains to which data mining can be applied, 3) to demonstrate the essential need for symbiotic collaboration of expertise in design and manufacturing, data mining, and information technology, and 4) to illustrate how to overcome central problems in design and manufacturing environments. The book also presents formal tools required to extract valuable information from design and manufacturing data, and facilitates interdisciplinary problem solving for enhanced decision making. Audience: The book is aimed at both academic and practising audiences. It can serve as a reference or textbook for senior or graduate level students in Engineering, Computer, and Management Sciences who are interested in data mining technologies. The book will be useful for practitioners interested in utilizing data mining techniques in design and manufacturing as well as for computer software developers engaged in developing data mining tools.
Language: English
Published by Springer US, Springer US, 2001
ISBN 10: 1402000340 ISBN 13: 9781402000348
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Data Mining for Design and Manufacturing: Methods and Applications is the first book that brings together research and applications for data mining within design and manufacturing. The aim of the book is 1) to clarify the integration of data mining in engineering design and manufacturing, 2) to present a wide range of domains to which data mining can be applied, 3) to demonstrate the essential need for symbiotic collaboration of expertise in design and manufacturing, data mining, and information technology, and 4) to illustrate how to overcome central problems in design and manufacturing environments. The book also presents formal tools required to extract valuable information from design and manufacturing data, and facilitates interdisciplinary problem solving for enhanced decision making. Audience: The book is aimed at both academic and practising audiences. It can serve as a reference or textbook for senior or graduate level students in Engineering, Computer, and Management Sciences who are interested in data mining technologies. The book will be useful for practitioners interested in utilizing data mining techniques in design and manufacturing as well as for computer software developers engaged in developing data mining tools.
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Taschenbuch. Condition: Neu. A Mathematical Theory of Design: Foundations, Algorithms and Applications | D. Braha (u. a.) | Taschenbuch | Applied Optimization | xxii | Englisch | 2010 | Springer | EAN 9781441947987 | 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 Kluwer Academic Publishers, 2001
ISBN 10: 1402000340 ISBN 13: 9781402000348
Seller: Kennys Bookstore, Olney, MD, U.S.A.
Condition: New. Brings together research and applications for data mining within design and manufacturing. This book aims: to clarify the integration of data mining in engineering design and manufacturing, to present a range of domains to which data mining can be applied, and to show the need for symbiotic collaboration of expertise in design and manufacturing. Editor(s): Braha, Dan. Series: Massive Computing. Num Pages: 542 pages, biography. BIC Classification: UN. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 30. Weight in Grams: 940. . 2001. Hardback. . . . . Books ship from the US and Ireland.
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Formal Design Theory (PDT) is a mathematical theory of design. The main goal of PDT is to develop a domain independent core model of the design process. The book focuses the reader's attention on the process by which ideas originate and are developed into workable products. In developing PDT, we have been striving toward what has been expressed by the distinguished scholar Simon (1969): that 'the science of design is possible and some day we will be able to talk in terms of well-established theories and practices. ' The book is divided into five interrelated parts. The conceptual approach is presented first (Part I); followed by the theoretical foundations of PDT (Part II), and from which the algorithmic and pragmatic implications are deduced (Part III). Finally, detailed case-studies illustrate the theory and the methods of the design process (Part IV), and additional practical considerations are evaluated (Part V). The generic nature of the concepts, theory and methods are validated by examples from a variety of disciplines. FDT explores issues such as: algebraic representation of design artifacts, idealized design process cycle, and computational analysis and measurement of design process complexity and quality. FDT's axioms convey the assumptions of the theory about the nature of artifacts, and potential modifications of the artifacts in achieving desired goals or functionality. By being able to state these axioms explicitly, it is possible to derive theorems and corollaries, as well as to develop specific analytical and constructive methodologies.
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