Data Mining With Decision Trees: Theory And Applications

Name: Data Mining With Decision Trees: Theory And Applications
Brand: World Scientific Publishing Co Pte Ltd
SKU: 9789812771711
Price: 680.56 RON
Availability: InStock

Autor: Oded Z. Maimon, Lior Rokach

Limbă:

Legare: Copertă tare

Editura: World Scientific Publishing Co Pte Ltd

Disponibilitate: În depozitul extern

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680.56 lei

This is the first comprehensive book dedicated entirely to the field of decision trees in data minin...

Informații despre carte

Autor

Oded Z. Maimon, Lior Rokach

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

2007

Pagini

264

EAN

9789812771711

ISBN

9812771719

Enbook ID

05068909

Editura

World Scientific Publishing Co Pte Ltd

Greutate

540

Dimensiuni

157 x 235 x 19

Descriere completă

This is the first comprehensive book dedicated entirely to the field of decision trees in data mining and covers all aspects of this important technique. Decision trees have become one of the most powerful and popular approaches in knowledge discovery and data mining, the science and technology of exploring large and complex bodies of data in order to discover useful patterns. The area is of great importance because it enables modeling and knowledge extraction from the abundance of data available. Both theoreticians and practitioners are continually seeking techniques to make the process more efficient, cost-effective and accurate. Decision trees, originally implemented in decision theory and statistics, are highly effective tools in other areas such as data mining, text mining, information extraction, machine learning, and pattern recognition.This book invites readers to explore the many benefits in data mining that decision trees offer: self-explanatory and easy to follow when compacted; able to handle a variety of input data: nominal, numeric and textual; able to process datasets that may have errors or missing values; high predictive performance for a relatively small computational effort; available in many data mining packages over a variety of platforms; and, useful for various tasks, such as classification, regression, clustering and feature selection.

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