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ISBN 10: 1032515422 ISBN 13: 9781032515427
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Condition: 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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Condition: New. pp. 532 Illus.
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ISBN 10: 1032515422 ISBN 13: 9781032515427
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ISBN 10: 1032515422 ISBN 13: 9781032515427
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Published by Springer Berlin Heidelberg, 2010
ISBN 10: 3642097774 ISBN 13: 9783642097775
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Taschenbuch. Condition: Neu. Statistical Implicative Analysis | Theory and Applications | Régis Gras (u. a.) | Taschenbuch | Studies in Computational Intelligence | 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.
Condition: New. pp. 532.
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Published by Springer Berlin Heidelberg, 2010
ISBN 10: 3642097774 ISBN 13: 9783642097775
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Taschenbuch. Condition: 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.
Buch. Condition: 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.