Information granularity,information entropy and decision tree
Junhai Zhai, Xizhao Wang, Sufang Zhang
Abstract
Junhai Zhai, Xizhao Wang, Sufang Zhang
Abstract
The information entropy between coarse granularity and fine granularity is comparatively studied,the influence on decision tree caused by coarse granularity and fine granularity is investigated,and the conclusion is provided that the information entropy under coarse granularity is not less than the one under fine granularity.It is shown that the decision tree generated by selecting the expanded attribute under fine granularity is better than the one under coarse granularity.
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The information entropy between coarse granularity and fine granularity is comparatively studied,the influence on decision tree caused by coarse granularity and fine granularity is investigated,and the conclusion is provided that the information entropy under coarse granularity is not less than the one under fine granularity.It is shown that the decision tree generated by selecting the expanded attribute under fine granularity is better than the one under coarse granularity.
Key concepts: Granularity, Entropy (arrow of time), Computer science, Data mining, Decision tree, Mathematics, Theoretical computer science, Physics