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http://dx.doi.org/10.3743/KOSIM.2017.34.4.033

Prescriptive Analytics System Design Fusing Automatic Classification Method and Intellectual Structure Analysis Method  

Jeong, Do-Heon (덕성여자대학교 문헌정보학과)
Publication Information
Journal of the Korean Society for information Management / v.34, no.4, 2017 , pp. 33-57 More about this Journal
Abstract
This study aims to introduce an emerging prescriptive analytics method and suggest its efficient application to a category-based service system. Prescriptive analytics method provides the whole process of analysis and available alternatives as well as the results of analysis. To simulate the process of optimization, large scale journal articles have been collected and categorized by classification scheme. In the process of applying the concept of prescriptive analytics to a real system, we have fused a dynamic automatic-categorization method for large scale documents and intellectual structure analysis method for scholarly subject fields. The test result shows that some optimized scenarios can be generated efficiently and utilized effectively for reorganizing the classification-based service system.
Keywords
prescriptive analytics; intellectual structure; automatic classification; classification scheme; optimization;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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