Data Mining With Decision Trees: Theory And Applications

丛 书 名：Series in Machine Perception and Artificial Intelligence, v. 69

作     者：Lior Rokach Oded Z Maimon 

I S B N：(纸本) 9789812771711;9789812771728 

出 版 社：World Scientific 

出 版 年：2008年

主 题 词：Decision trees Data mining 

学科分类：12[管理学] 0810[工学-信息与通信工程] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 08[工学] 080401[工学-精密仪器及机械] 0804[工学-仪器科学与技术] 080402[工学-测试计量技术及仪器] 0835[工学-软件工程] 081002[工学-信号与信息处理] 

摘      要：This is the first comprehensive book dedicated entirely to the field of decision trees in data mining and covers all aspects of this important *** 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: