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Brief Application Description; Visual Data Mining: Recognizing Telephone Calling Fraud

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Abstract

Human pattern recognition skills are remarkable and in many situations far exceed the ability of automated mining algorithms. By building domain-specific interfaces that present information visually, we can combine human detection with machines' far greater computational capacity. We illustrate our ideas by describing a suite of visual interfaces we built for telephone fraud detection.

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References

  • Antis, Jacqueline M., Eick, Stephen G., and Pyrce, John D. 1996. Visualizing the structure of relational databases. IEEE Software, 72–79.

  • Ball, Thomas A. and Eick, Stephen G. 1996. Software visualization in the large. IEEE Computer, 29(4):33–43.

    Google Scholar 

  • Battista, G. Di, Eades, P., Tamassia, R., and Tollis, I.G. 1994. Algorithms for drawing graphs: An annotated bibliography. Computational Geometry Theory and Applications, 4:235–282.

    Google Scholar 

  • Becker, Richard A., Eick, Stephen G., and Wilks, Allan R. 1995. Visualizing network data. IEEE Transactions on Visualization and Computer Graphics, 1(1):16–28.

    Google Scholar 

  • Eick, Stephen G. and Fyock, Daniel E. 1996. Visualizing corporate data. AT&T Technical Journal, 75(1):74–86.

    Google Scholar 

  • Eick, Stephen G. and Wills, Graham J. 1993. Navigating large networks with hierarchies. In Visualization '93 Conference Proceedings, San Jose, California, pp. 204–210.

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Authors and Affiliations

  1. Bell Laboratories/Lucent Technologies, Room 1G-351, 1000 East Warrenville Road, Naperville, IL, 60566

    Kenneth C. Cox, Stephen G. Eick & Graham J. Wills

  2. AT&T Laboratories, USA

    Ronald J. Brachman

Authors
  1. Kenneth C. Cox
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  2. Stephen G. Eick
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  3. Graham J. Wills
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  4. Ronald J. Brachman
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Cox, K.C., Eick, S.G., Wills, G.J. et al. Brief Application Description; Visual Data Mining: Recognizing Telephone Calling Fraud. Data Mining and Knowledge Discovery 1, 225–231 (1997). https://doi.org/10.1023/A:1009740009307

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  • DOI: https://doi.org/10.1023/A:1009740009307

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