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Innovative Applications in Data Mining

丛 书 名:Studies in Computational Intelligence

版本说明:1

作     者:Denise N. Rotondi Azevedo (auth.), Nadia Nedjah, Luiza de Macedo Mourelle, Janusz Kacprzyk (eds.) 

I S B N:(纸本) 3540880445;9783540880448 

出 版 社:Springer-Verlag Berlin Heidelberg 

出 版 年:2009年

学科分类:12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术(可授工学、理学学位)] 

摘      要:Data mining consists of attempting to discover novel and useful knowledge from data, trying to find patterns among datasets that can help in intelligent decision making. However, reports of real-world case studies are not generally detailed in the literature, due to the fact that they are usually based on proprietary datasets, making it impossible to publish the results. This kind of situation makes hard to evaluate, in a precise way, the degree of effectiveness of data mining techniques in real-world applications. On the other hand, researchers of this field of expertise usually exploit public-domain datasets. This volume offers a wide spectrum of research work developed for data mining for real-world application. In the following, we give a brief introduction of the chapters that are included in this book.

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