DocumentCode :
1931746
Title :
A Method on Defining Target Variables and its Application
Author :
Wang, Gang ; Zeng, Shao-Hua
Volume :
4
fYear :
2007
fDate :
19-22 Aug. 2007
Firstpage :
2357
Lastpage :
2361
Abstract :
This paper focuses on a method of defining target variables, which is not defined accurately in data mining and its application. In the area of data mining, there is a class of target variables that can\´t be defined accurately, such as the definitions of high-end customers and degree of customer loyalty in the customer relationship. However, defining target variables is pre-requisite to construct a model of supervised learning. This paper introduces a method, "thermometer-onion", for defining the target variables and presents an example to illustrate its application.
Keywords :
data mining; learning (artificial intelligence); data mining; supervised learning; target variable definitions; thermometer-onion method; Algorithm design and analysis; Clustering algorithms; Cybernetics; Data mining; Electronic mail; Machine learning; Machine learning algorithms; Physics; Supervised learning; Support vector machines; Data mining; Definition of target variables; Support vector machine (SVM);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-0973-0
Electronic_ISBN :
978-1-4244-0973-0
Type :
conf
DOI :
10.1109/ICMLC.2007.4370539
Filename :
4370539
Link To Document :
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