Publish In |
International Journal of Management and Applied Science (IJMAS)-IJMAS |
Journal Home Volume Issue |
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Issue |
Volume-4,Issue-9 ( Sep, 2018 ) | |||||||||
Paper Title |
Using Heuristic Decision Classifier to Predict The Operational Performance of Enterprises in Taiwan | |||||||||
Author Name |
Chen Tung Chen, Wei Zhan Hung | |||||||||
Affilition |
Department of Information Management, National United University, Taiwan Department of Industrial Engineering and Enterprise Information, Tunghai University, Taiwan | |||||||||
Pages |
64-67 | |||||||||
Abstract |
Investment analysis is an important issue for everyone in the society. However, there are many factors will influence the operational performance of enterprises. Under this situation, it is difficult to make a decision to select the good goals to invest. This research applies meta-heuristic decision classifier (MHDC) to predict the operational performance of each enterprise by using the data which is collected from open information observatory station in Taiwan. Based on the experiment results, the accuracy of test data by using MHDC is higher than other machine learning methods such as SVM classifier, KNN classifier, Ada Boost classifier and BPNN classifier. Finally, some conclusions and future research directions can be discussed as ending. Keywords- Investment Analysis, Operational Performance, Decision Classifier, Machine Learning. | |||||||||
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