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- W2148350071 abstract "Data mining is a process in which data collected fr om different sources is analyzed for useful informa tion. Data mining is also known as knowledge discovery in database (KDD). Privacy aare the important issues in data mining when data is shared. Most of the methods use random permutation techniques to mask the data, for preserving the privacy of sensi tive data. Randomize response techniques were developed for the purpose of protec ting surveys privacy and avoiding biased answers. T he proposed work thesis is to enhance the privacy level in RR technique using fou r group schemes. First according to the algorithm r andom attributes a, b, c, d were considered, Then the randomization have been pon every dataset according to the values oThen ID3 and CART algorithm are applied on the randomized data. The r esult shows that by increasing the group, the priva cy level will increase. This work shows that as compared with three group scheme with four groups scheme the accuracy decreases 6% but the privacy increases 65%." @default.
- W2148350071 created "2016-06-24" @default.
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- W2148350071 date "2013-09-25" @default.
- W2148350071 modified "2023-09-24" @default.
- W2148350071 title "PRIVACY PRESERVING DATA MINING IN FOUR GROUP RANDOMIZED RESPONSE TECHNIQUE USING ID3 AND CART ALGORITHM" @default.
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- W2148350071 doi "https://doi.org/10.15623/ijret.2013.0209017" @default.
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