DocumentCode
686230
Title
Decision trees based on the computational verb correlation
Author
Renyu Huang ; Bin Li ; Tao Yang
Author_Institution
Dept. of Electron. Eng., Xiamen Univ., Xiamen, China
fYear
2013
fDate
25-27 Oct. 2013
Firstpage
1
Lastpage
5
Abstract
In this paper, computational verb correlation (verb correlation, for short) is applied to stock market in order to find the correlation between different stock indexes. In previous works, computational verb similarities are used to provide the measurement for selecting the attributes in order to train decision trees. In this paper, a training method of decision tree is constructed based on verb correlation. Some examples are used to show the usefulness of our training algorithm for verb decision trees.
Keywords
decision trees; stock markets; attribute selection; computational verb correlation; computational verb similarity; decision trees training method; stock indexes; stock market; verb decision trees; Correlation; Decision trees; Delay effects; Educational institutions; Humidity; Rain; Time series analysis; Computational verb; Computational verb correlation; Decision tree; Stock trading;
fLanguage
English
Publisher
ieee
Conference_Titel
Anti-Counterfeiting, Security and Identification (ASID), 2013 IEEE International Conference on
Conference_Location
Shanghai
Type
conf
DOI
10.1109/ICASID.2013.6825318
Filename
6825318
Link To Document