| Summary: | 碩士 === 國立暨南國際大學 === 資訊管理學系 === 106 === With the advancement of technology, many materials have been recorded in an electronic way. In these large data often implies some interesting trends, characteristics or relevance waiting for us to dig and analysis.
In recent years, in the rise of Big Data, Data Mining has played an important role in the field of Knowledge Management, providing a valuable and meaningful knowledge that can be used to mine hidden data.
In Data Mining technology, Rough Set is a knowledge discovery tool that can be used to find the logic that is hidden in large data. However, the traditional set of abstracts can be generated through two stages in the process of generating the final decision rules, wasting unnecessary time and space, which will be a bit different in today's era of efficiency. Therefore, this study proposes a new inductive method to reduce the time spent on finding decision rules and the space of memory.
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