Securing Personal Information in Data Mining
Journal Title: International Journal of Modern Engineering Research (IJMER) - Year 2014, Vol 4, Issue 1
Abstract
This paper presents few of the frequent authentication and security mechanisms and mechanisms used in several securing personal information in data mining techniques. The paper describes an overview of some of the well known securing personal information (privacy preserve) in data mining , - ID3 for decision tree, association rule mining, EM clustering, frequency mining and Naïve Bayes. Most of these algorithms are usually a modification of a well known data mining algorithm along with some privacy preserving techniques. The paper finally describes the problem of using a model without knowing the model rules on context of passenger classification at the airlines security checkpoint by homeland security. This paper is intended to be a summary and a high level overview of PPDM.
Authors and Affiliations
B. Sreenivasulu
Keywords
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