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
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