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
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;
Conference_Titel :
Anti-Counterfeiting, Security and Identification (ASID), 2013 IEEE International Conference on
Conference_Location :
Shanghai
DOI :
10.1109/ICASID.2013.6825318
