Книга Mining Imperfect Data Ronald K. Pearson

Mining Imperfect Data

Dealing with Contamination and Incomplete Records

Автор: Ronald K. Pearson
Език: Английски език
Корици: С меки корици
Наличност: 50% вероятност
Ще претърсим света
98.20 192.06 лв
This book thoroughly discusses the varying problems that occur in data mining, including their sourc...

Информация за книгата

Автор
Език
Английски език
Корици
Книга - С меки корици
Издадена
2005
страници
315
EAN
9780898715828
ISBN
0898715822
Enbook ID
02050171
Теглоt
554
Размери
175 x 255 x 17

Пълно описание

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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