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.
Idioma: INGLÉS

RIGUROSO

Riguroso

Determina lo preciso o impreciso que es este libro con respecto a lo que se cuenta en el mismo. 0 significa que es completamente impreciso y 10 que cuenta es rigurosamente verídico

DIVERTIDO

Divertido

Determina lo divertido que te ha resultado el libro: 0-aburrido 10-muy divertido

COMPLEJO

Complejo

Determinamos lo complejo que nos ha resultado la lectura del libro. Desde el nivel más bajo, que indica que es un texto secillo de comprender hasta el valor máximo que indica que es complejo de comprender

SORPRENDE

Sorprende

Indica lo sorprendente que resulta el argumento del libro, desde 0: previsible hasta 10: totalmente desconcertante y sorprendente

Entra en BiblioEteca...

MINING IMPERFECT DATA: DEALING WITH CONTAMINATION AND INCOMPLETE RECORDS

Sinópsis del libro:

Comentarios de los lectores

Yo Leo

Anillo de blogs

Paga si te gusta

BiblioEtecarios

Yo Escribo

Ayuda

AVISO DE COOKIES