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CRM Research Based on the Decision Tree Classification Algorithm

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Recent Advances in Computer Science and Information Engineering

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 124))

Abstract

This thesis aimes to the decision tree based on the improved ID3 algorithm which implaied in CRM application. It can achieve optimal choice attributes, handle continuous attributes and deal with default attribute values. In addition, we make analysis and comparison for the classification of the results of the two properties of the algorithm by using the same research’s data.

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References

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Author information

Authors and Affiliations

  1. School of Computer Science and Technology, Changchun University of Science and Technology, Changchun, China

    Yan Yan, Dali Yin & Feng Wang

Authors
  1. Yan Yan
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  2. Dali Yin
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  3. Feng Wang
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Editor information

Editors and Affiliations

  1. College of Communication Engineering, Jilin University, Room 313, Building No.1, Changchun, Nanhu Avenue 5372, 130012, Jilin, China, People’s Republic

    Zhihong Qian

  2. Department of Electrical Engineering, The University of Mississippi, Anderson Hall 314, 38677, Mississippi, Mississippi, USA

    Lei Cao

  3. Department of Electrical and Computer Eng., Naval Postgraduate School, Rm. 452 Spanagel Bldg. 232, Dyer Road 833, 93943-5121, Monterey, California, USA

    Weilian Su

  4. Faculty of Computing, London Metropolitan University, Holloway Road 166-220, N7 8DB, London, United Kingdom

    Tingkai Wang

  5. College of Software, Changchun University of Science and Tech., Changchun, 130022, Jilin, China, People’s Republic

    Huamin Yang

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© 2012 Springer-Verlag Berlin Heidelberg

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Yan, Y., Yin, D., Wang, F. (2012). CRM Research Based on the Decision Tree Classification Algorithm. In: Qian, Z., Cao, L., Su, W., Wang, T., Yang, H. (eds) Recent Advances in Computer Science and Information Engineering. Lecture Notes in Electrical Engineering, vol 124. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25781-0_7

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  • DOI: https://doi.org/10.1007/978-3-642-25781-0_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25780-3

  • Online ISBN: 978-3-642-25781-0

  • eBook Packages: EngineeringEngineering (R0)

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