| Summary: | 碩士 === 國立虎尾科技大學 === 資訊管理系碩士班 === 104 === In modern times, as technology continues to develop, conversion and transmission of data are triggered.The amount of data to be processed thus shows rapid growth, which leads to related topics of big data and data mining. To dig out the implicit real value in raw data, R language absolutely is the convenient and appropriate tool suitable for development. By using the R language, a user-friendly analysis platform with a bullet-point design is constructed in this study. Through a systematic method,valuable feature and association in raw data are collected and further interact with other information to acquire confirmation and extension.
Finally, based on the technology acceptance model, six research hypotheses are proposed for the analysis platform developed in this study. A questionnaire is designed and distributed. The hypotheses are tested and verified through the analysis of the collected questionnaire data.
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