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Abnormal Data Detection for an E-Business using Object-Oriented Approach

  • Zongxiao Yang
  • Yanyi Zheng
  • Yanping Gao
  • Chuanye Cheng
  • Sheng Xu
  • Hiroyuki Yamaguchi
Part of the IFIP — The International Federation for Information Processing book series (IFIPAICT, volume 251)

Abstract

An application service provider solution, named LINKCAFE for the food industry, offers customers a new means to leverage the internet to support line-of-business applications while reducing total cost of ownership. It is necessary for managers to maintain data accuracy and ensure data coherence in the online system. In this paper, abnormal data detection applications (ADDA) based on object oriented approach was developed by using unified modeling language models such as use-case diagrams and sequence diagrams. The programming has been accomplished for system managers for online service. Through verification and validation of the application in functionality to practical service for some years, the results have already proved that actual application of ADDA has not only enhanced the accuracy of data detection but also reduced data checking time to original 1/20 for system managers.

Keywords

Sequence Diagram Online System Unify Modeling Language Model Case Diagram Fault Tree Analysis 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© International Federation for Information Processing 2007

Authors and Affiliations

  • Zongxiao Yang
    • 1
  • Yanyi Zheng
    • 1
  • Yanping Gao
    • 1
  • Chuanye Cheng
    • 1
  • Sheng Xu
    • 2
  • Hiroyuki Yamaguchi
    • 2
  1. 1.Institute of Systems Science and EngineeringHeNan University of Science and TechnologyLuoyangChina
  2. 2.Research CenterVenture Link Communications Co. LtdTokyoJapan

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