The Study of Rule Comparison of Business Analytics
| Autor: | CHEN, PENG-YU, 陳芃諭 |
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| Rok vydání: | 2018 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 106 In recent years, data analysis and artificial intelligence have been widely discussed, and these have always been the focus of corporate and government training. Because it can be used for the topic, through detailed data analysis to obtain legitimacy, persuasiveness and reliable conclusions, allowing decision makers to judge from different angles and make the right decisions in commercial marketing, this decision can be passed through It is recommended to improve the marketing ability of enterprises, reduce the possibility of decision-making mistakes, and reduce the loss of profits; and customers can purchase the desired products. On the other hand, energy conservation and carbon reduction have been widely mentioned in major confrontations in recent years, and have become a hot topic that has been widely discussed. Let the family save energy and reduce carbon to achieve the goal, and let the government discuss how to implement the policy properly. Therefore, using data analysis, rule induction and rule comparison to generate rules, give decision-making advice, so that decision makers of all units can implement correct decisions to curb the waste of energy, and finally achieve the effect of sustainable development, that is, the study theme. This study uses the approximate set theory in the rule induction method to propose a framework suitable for analyzing annual customer information, and uses the rule comparison method to identify the trends of customer rules through nine behavior patterns and explore their needs to help decision-making. People understand the needs of customers in order to correct the decision-making direction early and avoid losing the trust of customers. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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