TY  - JOUR
AU  - Kim, Jinhyung 
AU  - Hwang, Myunggwon 
AU  - Jeong, Do-Heon 
AU  - Song, Sa-Kwang 
AU  - Jung, Hanmin 
PY  - 2013
TI  - BUSINESS INTELLIGENCE SERVICE BASED ON ADAPTIVE USER MODELING AND GROUPING
JF  - Journal of Computer Science
VL  - 9
IS  - 10
DO  - 10.3844/jcssp.2013.1396.1405
UR  - https://thescipub.com/abstract/jcssp.2013.1396.1405
AB  - 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.