Earticle

초록

영어

In the era of digital technologies, most enterprises have collected huge amount of data in an electronic form. Business intelligence technology has emerged as a tool to support information summarization, pattern extracting, knowledge discovery, and other knowledge-related tasks. The main part of most business intelligence software is the data mining engine to analyze and report relationships that exist in the stored data. Visualization tools are created to help data analysts easily explore the induced information. For extremely large amount of data stored in the data warehouse and data marts, simply explore information and knowledge through the visualize tool is not possible. We thus propose to put more constraints in the data mining engine of the BI software. We design the framework of the proposed BI system to predict customer churn in the telecommunication industry. The logic-based implementation and performance testing results of the constraint-based pattern mining are also illustrated in this paper.

목차

Abstract
 1. Introduction
 2. Pattern Analysis Framework and Mining Method
 3. Implementation and Running Results
 4. Conclusion
 Acknowledgements
 References

키워드

저자

• Nittaya Kerdprasop [ Data Engineering Research Unit, School of Computer Engineering, Suranaree University of Technology, Thailand ]
• Phaichayon Kongchai [ Data Engineering Research Unit, School of Computer Engineering, Suranaree University of Technology, Thailand ]
• Kittisak Kerdprasop [ Data Engineering Research Unit, School of Computer Engineering, Suranaree University of Technology, Thailand ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605