LIOR ROKACH

Senior Academic

Sensitivity Analysis of Proactive Data Mining

Haim Dahan, Shahar Cohen, Lior Rokach, Oded Maimon
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.
Publication language English
Pages 63-85
Publication status Published - 15.02.2014

Keywords

Proactive data mining
Sensitivity analysis