Description: Data Mining With Decision Trees: Theory And ApplicationsAuthor(s): Lior Rokach, Oded Z Maimon Format: Hardback Publisher: World Scientific Publishing Co Pte Ltd, Singapore Imprint: World Scientific Publishing Co Pte Ltd ISBN-13: 9789812771711, 978-9812771711 Synopsis This is the first comprehensive book dedicated entirely to the field of decision trees in data mining and covers all aspects of this important [url] 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:
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Book Title: Data Mining With Decision Trees: Theory And Applications
Publisher: World Industries Scientific Publishing Co Pte LTD
Publication Year: 2007
Subject: Computer Science
Number of Pages: 264 Pages
Language: English
Publication Name: Data Mining with Decision Trees: Theory and Applications
Type: Textbook
Author: Lior Rokach, Oded Z Maimon
Series: Series in Machine Perception and Artificial Intelligence
Format: Hardcover
