Nirali R. Nanavati

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The current massive proliferation of data has led to collaborative data mining that requires preservation of individual privacy of the participants. A number of algorithms proposed till date in this scenario are limited to mining association rules and do not consider their cyclic nature that finds associations with respect to the time segment. Hence(More)
Collaborative data mining has become very useful today with the immense increase in the amount of data collected and the increase in competition. This in turn increases the need to preserve the participants' privacy. There have been a number of approaches proposed that use Secret Sharing for privacy preservation for Secure Multiparty Computation (SMC) in(More)
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