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Könyv Mining Imperfect Data Ronald K. Pearson

Mining Imperfect Data

Dealing with Contamination and Incomplete Records

Szerző: Ronald K. Pearson
Nyelv: Angol
Kötés: Puha kötésű
Kiadó: Society for Industrial & Applied Mathematics,U.S.
Elérhetőség: 50 % esély
Keressük az egész világon
35 705 Ft
This book thoroughly discusses the varying problems that occur in data mining, including their sourc...

Információk a könyvről

Szerző
Ronald K. Pearson
Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2005
oldal
315
EAN
9780898715828
ISBN
0898715822
Enbook ID
02050171
Kiadó
Society for Industrial & Applied Mathematics,U.S.
Súly
554
Méretek
175 x 255 x 17

Teljes leírás

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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