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

  • Journal of the Korean Society for Information Management
  • Abbr : JKOSIM
  • 2017, 34(4), pp.33~57
  • DOI : 10.3743/KOSIM.2017.34.4.033
  • Publisher : 한국정보관리학회
  • Research Area : Interdisciplinary Studies > Library and Information Science
  • Received : November 14, 2017
  • Accepted : November 29, 2017
  • Published : December 30, 2017

Jeong Do-heon 1

1덕성여자대학교

Accredited

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.

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