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Published in:
Introduction to Proactive Data Mining Read chapter Read first chapter

2014 | OriginalPaper | Chapter

5. Sensitivity Analysis of Proactive Data Mining

Authors : Haim Dahan, Shahar Cohen, Lior Rokach, Oded Maimon

Published in: Proactive Data Mining with Decision Trees

Publisher: Springer New York

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Abstract

As stated in Chap. 4, to achieve an effective and applicable solution for a data mining problem, it is vital to thoroughly understand the problem at hand, in particular its constraints, environment and its problem specific knowledge. However, it is difficult to pinpoint the exact knowledge (i.e., attribute values) necessary for optimally implementing the proactive data mining method. In this chapter we present several scenarios over the security company’s case (Chap. 4) to demonstrate the general boundaries of the method.

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previous chapter Proactive Data Mining in the Real World: Case Studies
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Metadata
Title
Sensitivity Analysis of Proactive Data Mining
Authors
Haim Dahan
Shahar Cohen
Lior Rokach
Oded Maimon
Copyright Year
2014
Publisher
Springer New York
Book
Proactive Data Mining with Decision Trees

Print ISBN: 978-1-4939-0538-6

Electronic ISBN: 978-1-4939-0539-3

Copyright Year: 2014

DOI
https://doi.org/10.1007/978-1-4939-0539-3_5

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