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Proactive Data Mining in the Real World: Case Studies

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Proactive Data Mining with Decision Trees

Part of the book series: SpringerBriefs in Electrical and Computer Engineering ((BRIEFSELECTRIC))

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Abstract

This chapter presents two real world implementations of the proactive data mining, using decision trees from two different sectors: cellular services (Sect. 4.1) and security (Sect. 4.2). Using actual datasets, we address real problems that two companies in these business areas face.

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References

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Author information

Authors and Affiliations

  1. Dept. of Industrial Engineering, Tel Aviv University, Ramat Aviv, Israel

    Haim Dahan & Oded Maimon

  2. Dept. of Industrial Engineering & Management, Shenkar College of Engineering and Design, Ramat Gan, Israel

    Shahar Cohen

  3. Information Systems Engineering, Ben-Gurion University, Beer-Sheva, Israel

    Lior Rokach

Authors
  1. Haim Dahan
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  2. Shahar Cohen
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  3. Lior Rokach
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  4. Oded Maimon
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Corresponding author

Correspondence to Lior Rokach .

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Dahan, H., Cohen, S., Rokach, L., Maimon, O. (2014). Proactive Data Mining in the Real World: Case Studies. In: Proactive Data Mining with Decision Trees. SpringerBriefs in Electrical and Computer Engineering. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-0539-3_4

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  • DOI: https://doi.org/10.1007/978-1-4939-0539-3_4

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4939-0538-6

  • Online ISBN: 978-1-4939-0539-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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