DocumentCode :
523819
Title :
Evaluating Data Mining Tools for Authentic Emotion Classification
Author :
Sun, Yafei ; Li, Zhishu ; Zhang, Lei ; Qiu, Shuxiong ; Chen, Yang
Author_Institution :
Sch. of Comput. Sci., Sichuan Univ., Chengdu, China
Volume :
2
fYear :
2010
fDate :
11-12 May 2010
Firstpage :
228
Lastpage :
232
Abstract :
Nowadays, there are many data mining tools for various data processing purposes, i.e. classifying and clustering. Among them, Weka and GeneXproTools are widely discussed. In this paper, we evaluate these tools´ classification function in authentic emotion recognition. Meanwhile, we develop a hybrid classification algorithm and compare it with these data mining tools. Finally, we list the recognition results by various classifiers.
Keywords :
data mining; emotion recognition; pattern classification; pattern clustering; GeneXproTools; Weka; authentic emotion classification; clustering; data mining tools; hybrid classification algorithm; Automation; Clustering algorithms; Computer science; Data analysis; Data mining; Data processing; Emotion recognition; Machine learning algorithms; Sun; Testing; GeneXproTools; Neural network; Weka; authentic emotion recognition; data mining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-7279-6
Electronic_ISBN :
978-1-4244-7280-2
Type :
conf
DOI :
10.1109/ICICTA.2010.354
Filename :
5523170
Link To Document :
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