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Frequency: Monthly
ISSN: 1549-3636 (Print)
ISSN: 1552-6607 (Online)
Research Article Open Access

BUSINESS INTELLIGENCE SERVICE BASED ON ADAPTIVE USER MODELING AND GROUPING

Jinhyung Kim1, Myunggwon Hwang1, Do-Heon Jeong1, Sa-Kwang Song1 and Hanmin Jung1
  • 1 , Korea

Abstract

In this study, we suggest the mobile business intelligence service based on adaptive recognition of user intention and usage patterns. This service is named as InSciTe adaptive and based on text mining and semantic web technologies. This service supports not only technology-focusing analysis and prediction but also adaptive recognition about user’s intention by semi-automatic user modeling process. By the adaptive user modeling, this service can provide more suitable service flow and more proper analysis results based on user’s intention.

Journal of Computer Science
Volume 9 No. 10, 2013, 1396-1405

DOI: https://doi.org/10.3844/jcssp.2013.1396.1405

Submitted On: 19 April 2013 Published On: 17 September 2013

How to Cite: Kim, J., Hwang, M., Jeong, D., Song, S. & Jung, H. (2013). BUSINESS INTELLIGENCE SERVICE BASED ON ADAPTIVE USER MODELING AND GROUPING. Journal of Computer Science, 9(10), 1396-1405. https://doi.org/10.3844/jcssp.2013.1396.1405

Open AccessCopyright: © 2013 Jinhyung Kim, Myunggwon Hwang, Do-Heon Jeong, Sa-Kwang Song and Hanmin Jung. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Keywords

  • Business Intelligence
  • Adaptive Recognition
  • User Intention
  • User Modeling
  • Analysis and Prediction