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This book presents recent advances in quality measures in data mining.
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Data mining analyzes large amounts of data to discover knowledge relevant to decision making. Typically, numerous pieces of knowledge are extracted by a data mining system and presented to a human user, who may be a decision-maker or a data-analyst. The user is confronted with the task of selecting the pieces of knowledge that are of the highest quality or interest according to his or her preferences. Since this selection is sometimes a daunting task, designing quality and interestingness measures has become an important challenge for data mining researchers in the last decade.
This volume presents the state of the art concerning quality and interestingness measures for data mining. The book summarizes recent developments and presents original research on this topic. The chapters include surveys, comparative studies of existing measures, proposals of new measures, simulations, and case studies. Both theoretical and applied chapters are included. Papers for this book were selected and reviewed for correctness and completeness by an international review committee.
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- EditoreSpringer Nature
- Data di pubblicazione2007
- ISBN 10 3540449116
- ISBN 13 9783540449119
- RilegaturaCopertina rigida
- LinguaInglese
- Numero di pagine313
- RedattoreGuillet Fabrice, Hamilton Howard J.
- Contatto del produttoreSpringer Nature Customer Service Center GmbH; ProductSafety@springernature.com
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Quality Measures in Data Mining
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Springer, Berlin, Springer Berlin Heidelberg, Springer, 2007
ISBN 10: 3540449116
ISBN 13: 9783540449119
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Data mining analyzes large amounts of data to discover knowledge relevant to decision making. Typically, numerous pieces of knowledge are extracted by a data mining system and presented to a human user, who may be a decision-maker or a data-analyst. The user is confronted with the task of selecting the pieces of knowledge that are of the highest quality or interest according to his or her preferences. Since this selection is sometimes a daunting task, designing quality and interestingness measures has become an important challenge for data mining researchers in the last decade.This volume presents the state of the art concerning quality and interestingness measures for data mining. The book summarizes recent developments and presents original research on this topic. The chapters include surveys, comparative studies of existing measures, proposals of new measures, simulations, and case studies. Both theoretical and applied chapters are included. Papers for this book were selected and reviewed for correctness and completeness by an international review committee. 314 pp. Englisch. Codice articolo 9783540449119
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Quality Measures in Data Mining (Studies in Computational Intelligence, 43)
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Quality Measures in Data Mining
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Springer, Berlin, Springer Berlin Heidelberg, Springer, 2007
ISBN 10: 3540449116
ISBN 13: 9783540449119
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Data mining analyzes large amounts of data to discover knowledge relevant to decision making. Typically, numerous pieces of knowledge are extracted by a data mining system and presented to a human user, who may be a decision-maker or a data-analyst. The user is confronted with the task of selecting the pieces of knowledge that are of the highest quality or interest according to his or her preferences. Since this selection is sometimes a daunting task, designing quality and interestingness measures has become an important challenge for data mining researchers in the last decade.This volume presents the state of the art concerning quality and interestingness measures for data mining. The book summarizes recent developments and presents original research on this topic. The chapters include surveys, comparative studies of existing measures, proposals of new measures, simulations, and case studies. Both theoretical and applied chapters are included. Papers for this book were selected and reviewed for correctness and completeness by an international review committee. Codice articolo 9783540449119
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Quality Measures in Data Mining
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Condizione: New. This book presents recent advances in quality measures in data mining.|Data mining analyzes large amounts of data to discover knowledge relevant to decision making. Typically, numerous pieces of knowledge are extracted by a data mining system and . Codice articolo 4891074
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Quality Measures in Data Mining (Studies in Computational Intelligence, 43)
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Condizione: New. Codice articolo ABLIING23Mar3113020168024
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