Kniha Mining Imperfect Data Ronald K. Pearson

Mining Imperfect Data

Dealing with Contamination and Incomplete Records

Jazyk: Angličtina
Väzba: Brožovaná
Dostupnosť: 50 % šanca
Prehľadáme celý svet
93.81
This book thoroughly discusses the varying problems that occur in data mining, including their sourc...

Informácie o knihe

Jazyk
Angličtina
Väzba
Kniha - Brožovaná
Vydalo
2005
Stránok
315
EAN
9780898715828
ISBN
0898715822
Enbook ID
02050171
Hmotnosť
554
Rozmery
175 x 255 x 17

Kompletný popis

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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