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.
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© 2007 International Federation for Information Processing
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Yang, Z., Zheng, Y., Gao, Y., Cheng, C., Xu, S., Yamaguchi, H. (2007). Abnormal Data Detection for an E-Business using Object-Oriented Approach. In: Wang, W., Li, Y., Duan, Z., Yan, L., Li, H., Yang, X. (eds) Integration and Innovation Orient to E-Society Volume 1. IFIP — The International Federation for Information Processing, vol 251. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-75466-6_77
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DOI: https://doi.org/10.1007/978-0-387-75466-6_77
Publisher Name: Springer, Boston, MA
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