Mining Imperfect Data: Dealing with Contamination and Incomplete Records

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

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.

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Book Description:

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.

About the Author:

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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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. Language: English . Brand New Book. 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 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. Language: English . Brand New Book. 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 AAN9780898715828

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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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Descripción SIAM: Society for Industrial and Applied Mathematics, 2005. Paperback. Estado de conservación: New. book. Nº de ref. de la librería M0898715822

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Descripción SIAM: Society for Industrial a, 2005. Paperback. Estado de conservación: New. Never used!. Nº de ref. de la librería P110898715822

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