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Ajouter au panierhardcover. Etat : As New. Springer Verlag; Berlin, 2008. Hardcover. A Near Fine, binding firm, interior and extremities tidy, minimal handling marks, book appears unread, trace handling/scuff marks to boards, small scuff mark bottom text block edge, without Dust wrapper. A nice, clean and unmarked copy. 8vo[octavo or approx. 6 x 9 inches], 513pp., indexed. We pack securely and ship daily with delivery confirmation on every book. The picture on the listing page is of the actual book for sale. Additional Scan(s) are available for any item, please inquire.Please note: Oversized books/sets MAY require additional postage then what is quoted for 2.2lb book.
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Ajouter au panierhardcover. Etat : Gut. 528 Seiten; 9783540789826.3 Gewicht in Gramm: 1.
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Ajouter au panierEtat : Sehr gut. Zustand: Sehr gut | Seiten: 532 | Sprache: Englisch | Produktart: Bücher | Statistical implicative analysis is a data analysis method created by Régis Gras almost thirty years ago which has a significant impact on a variety of areas ranging from pedagogical and psychological research to data mining. Statistical implicative analysis (SIA) provides a framework for evaluating the strength of implications; such implications are formed through common knowledge acquisition techniques in any learning process, human or artificial. This new concept has developed into a unifying methodology, and has generated a powerful convergence of thought between mathematicians, statisticians, psychologists, specialists in pedagogy and last, but not least, computer scientists specialized in data mining.This volume collects significant research contributions of several rather distinct disciplines that benefit from SIA. Contributions range from psychological and pedagogical research, bioinformatics, knowledge management, and data mining.
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Ajouter au panierEtat : As New. Unread book in perfect condition.
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Ajouter au panierHardback. Etat : New. New copy - Usually dispatched within 4 working days. 640.
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Ajouter au panierHardcover. Etat : Brand New. 248 pages. 9.19x6.13x0.79 inches. In Stock.
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Ajouter au panierTaschenbuch. Etat : Neu. Statistical Implicative Analysis | Theory and Applications | Régis Gras (u. a.) | Taschenbuch | xv | Englisch | 2010 | Springer | EAN 9783642097775 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Edité par Springer Berlin Heidelberg, 2010
ISBN 10 : 3642097774 ISBN 13 : 9783642097775
Langue: anglais
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Ajouter au panierTaschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Statistical implicative analysis is a data analysis method created by Régis Gras almost thirty years ago which has a significant impact on a variety of areas ranging from pedagogical and psychological research to data mining. Statistical implicative analysis (SIA) provides a framework for evaluating the strength of implications; such implications are formed through common knowledge acquisition techniques in any learning process, human or artificial. This new concept has developed into a unifying methodology, and has generated a powerful convergence of thought between mathematicians, statisticians, psychologists, specialists in pedagogy and last, but not least, computer scientists specialized in data mining.This volume collects significant research contributions of several rather distinct disciplines that benefit from SIA. Contributions range from psychological and pedagogical research, bioinformatics, knowledge management, and data mining.
Edité par Springer Berlin Heidelberg, 2008
ISBN 10 : 3540789820 ISBN 13 : 9783540789826
Langue: anglais
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Ajouter au panierBuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Statistical implicative analysis is a data analysis method created by Régis Gras almost thirty years ago which has a significant impact on a variety of areas ranging from pedagogical and psychological research to data mining. Statistical implicative analysis (SIA) provides a framework for evaluating the strength of implications; such implications are formed through common knowledge acquisition techniques in any learning process, human or artificial. This new concept has developed into a unifying methodology, and has generated a powerful convergence of thought between mathematicians, statisticians, psychologists, specialists in pedagogy and last, but not least, computer scientists specialized in data mining.This volume collects significant research contributions of several rather distinct disciplines that benefit from SIA. Contributions range from psychological and pedagogical research, bioinformatics, knowledge management, and data mining.
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Ajouter au panierHardcover. Etat : Like New. Like New. book.
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Ajouter au panierEtat : New. PRINT ON DEMAND.
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Ajouter au panierHRD. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Ajouter au panierHRD. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.