Mining Imperfect Data Paperback: Dealing with Contamination and Incomplete Records

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9780898715828: Mining Imperfect Data Paperback: Dealing with Contamination and Incomplete Records

Data mining is concerned with the analysis of databases large enough that various anomalies, including outliers, incomplete data records, and more subtle phenomena such as misalignment errors, are virtually certain to be present. This book describes in detail a number of these problems including their sources, consequences, detection and treatment.

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Críticas:

'An accessible presentation of statistical methods and analysis to deal with imperfect data in real data mining applications.' Joydeep Ghosh, University of Texas at Austin

'An appealing feature of this book is the use of fresh datasets that are much larger than those currently found in standard books on outliers and statistical diagnostics.' Anthony Atkinson, London School of Economics

'The book provides the reader with clear descriptions and accessible discussions of problems, motivations, methods and interpretations. The author excels when describing the importance of tools and their applications. The first chapter is a prime example of how to introduce important concepts and methods to a wide readership that may be composed of students, researchers and non-specialists.' Francisco J. Azuaje, BioMedical Engineering OnLine

Biografía del autor:

Ronald K. Pearson is Senior Scientist with ProSanos Corporation and holds an adjunct faculty position at Jefferson Medical College. His primary research interests are in the areas of nonlinear discrete-time dynamical models, exploratory data analysis, and nonlinear digital signal processing. He is author of the book Discrete-Time Dynamic Models (Oxford University Press, 1999) and coauthor of the book Identification and Control Using Volterra Models (Springer, 2001). He has published three encyclopedia articles and approximately 100 journal and conference papers.

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1.

Ronald K. Pearson
Editorial: Society for Industrial Applied Mathematics,U.S., United States (2005)
ISBN 10: 0898715822 ISBN 13: 9780898715828
Nuevos Paperback Cantidad: 1
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Descripción Society for Industrial Applied Mathematics,U.S., United States, 2005. Paperback. Estado de conservación: New. 249 x 175 mm. Language: English . Brand New Book. Data mining is concerned with the analysis of databases large enough that various anomalies, including outliers, incomplete data records, and more subtle phenomena such as misalignment errors, are virtually certain to be present. Mining Imperfect Data describes in detail a number of these problems, as well as their sources, their consequences, their detection, and their treatment. Specific strategies for data pretreatment and analytical validation that are broadly applicable are described, making them useful in conjunction with most data mining analysis methods. Examples are presented to illustrate the performance of the pretreatment and validation methods in a variety of situations; these include simulation-based examples in which correct results are known unambiguously as well as real data examples that illustrate typical cases met in practice.Mining Imperfect Data, which deals with a wider range of data anomalies than are usually treated in one book, includes a discussion of detecting anomalies through generalized sensitivity analysis (GSA), a process of identifying inconsistencies using systematic and extensive comparisons of results obtained by analysis of exchangeable datasets or subsets. The book makes extensive use of real data, both in the form of a detailed analysis of a few real datasets and various published examples. Also included is a succinct introduction to functional equations that illustrates their utility in describing various forms of qualitative behavior for useful data characterizations. Nº de ref. de la librería AAN9780898715828

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Pearson, Ronald K.
Editorial: Society for Industrial and Applied Mathematics (2005)
ISBN 10: 0898715822 ISBN 13: 9780898715828
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Descripción Society for Industrial and Applied Mathematics, 2005. PAP. Estado de conservación: New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Nº de ref. de la librería CE-9780898715828

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Ronald K. Pearson
Editorial: Society for Industrial Applied Mathematics,U.S., United States (2005)
ISBN 10: 0898715822 ISBN 13: 9780898715828
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Descripción Society for Industrial Applied Mathematics,U.S., United States, 2005. Paperback. Estado de conservación: New. 249 x 175 mm. Language: English . Brand New Book. Data mining is concerned with the analysis of databases large enough that various anomalies, including outliers, incomplete data records, and more subtle phenomena such as misalignment errors, are virtually certain to be present. Mining Imperfect Data describes in detail a number of these problems, as well as their sources, their consequences, their detection, and their treatment. Specific strategies for data pretreatment and analytical validation that are broadly applicable are described, making them useful in conjunction with most data mining analysis methods. Examples are presented to illustrate the performance of the pretreatment and validation methods in a variety of situations; these include simulation-based examples in which correct results are known unambiguously as well as real data examples that illustrate typical cases met in practice.Mining Imperfect Data, which deals with a wider range of data anomalies than are usually treated in one book, includes a discussion of detecting anomalies through generalized sensitivity analysis (GSA), a process of identifying inconsistencies using systematic and extensive comparisons of results obtained by analysis of exchangeable datasets or subsets. The book makes extensive use of real data, both in the form of a detailed analysis of a few real datasets and various published examples. Also included is a succinct introduction to functional equations that illustrates their utility in describing various forms of qualitative behavior for useful data characterizations. Nº de ref. de la librería AAN9780898715828

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Ronald K. Pearson
Editorial: Society for Industrial & Applied Mathematics,U.S.
ISBN 10: 0898715822 ISBN 13: 9780898715828
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Descripción Society for Industrial & Applied Mathematics,U.S. Paperback. Estado de conservación: new. BRAND NEW, Mining Imperfect Data: Dealing with Contamination and Incomplete Records, Ronald K. Pearson, This book thoroughly discusses the varying problems that occur in data mining, including their sources, consequences, detection, and treatment. Specific strategies for data pretreatment and analytical validation that are broadly applicable are described, making them useful in conjunction with most data mining analysis methods. Examples illustrate the performance of the pretreatment and validation methods in a variety of situations. The book, which deals with a wider range of data anomalies than are usually treated, includes a discussion of detecting anomalies through generalized sensitivity analysis (GSA), a process of identifying inconsistencies using systematic and extensive comparisons of results obtained by analysis of exchangeable datasets or subsets. Real data is made extensive use of, both in the form of a detailed analysis of a few real datasets and various published examples. A succinct introduction to functional equations illustrates their utility in describing various forms of qualitative behavior for useful data characterizations. Nº de ref. de la librería B9780898715828

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PEARSON
Editorial: Soc Industrial Applied Maths (2005)
ISBN 10: 0898715822 ISBN 13: 9780898715828
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Descripción Soc Industrial Applied Maths, 2005. Paperback. Estado de conservación: NEW. 9780898715828 This listing is a new book, a title currently in-print which we order directly and immediately from the publisher. Nº de ref. de la librería HTANDREE01294618

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Ronald K. Pearson
Editorial: Society for Industrial & Applied (2005)
ISBN 10: 0898715822 ISBN 13: 9780898715828
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Descripción Society for Industrial & Applied, 2005. Paperback. Estado de conservación: Brand New. new title edition. 305 pages. 9.75x7.00x0.75 inches. In Stock. Nº de ref. de la librería __0898715822

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Ronald K. Pearson
Editorial: SIAM: Society for Industrial and Applied Mathematics (2005)
ISBN 10: 0898715822 ISBN 13: 9780898715828
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Descripción SIAM: Society for Industrial and Applied Mathematics, 2005. Paperback. Estado de conservación: New. book. Nº de ref. de la librería 0898715822

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Pearson, Ronald K.
Editorial: SIAM: Society for Industrial a (2005)
ISBN 10: 0898715822 ISBN 13: 9780898715828
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Descripción SIAM: Society for Industrial a, 2005. Paperback. Estado de conservación: New. Nº de ref. de la librería P110898715822

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Pearson, Ronald K.
Editorial: Society for Industrial and Applied Mathematics, SIAM
ISBN 10: 0898715822 ISBN 13: 9780898715828
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Descripción Society for Industrial and Applied Mathematics, SIAM. PAPERBACK. Estado de conservación: New. 0898715822 New Condition. Nº de ref. de la librería NEW6.1441670

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