Privacy Preserving In Data Mining with No Data Loss with a Combinational Scheme

2019 International journal of recent technology and engineering  
Large amounts of data collected by many organizations under-goes data mining for various purposes like analysis and prediction. During data mining tasks, the sensitive information may be losing its privacy. Hence, Privacyprotection or preservation is becomes major issue for the organizations. Publishing data or sharing information for mining with Privacypreservation is possible through Privacypreserve data mining technique (PPDM). Existing techniques are not able to withstand for some attacks
more » ... d some suffers with data misfortune. In our paper we conventional an effective and combinational approach for security safeguarding in information mining. Our approach with can withstand from different kinds of assaults and limits data misfortune and increases data re-usability with data reconstruction capability
doi:10.35940/ijrte.d1107.1284s319 fatcat:tg5sutzgofc6tn24ff53z5uwne