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Hội thảo Khoa học Quốc tế
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Figure 1 described the privacy saving level of association rule strategies for privacy
conservation. The privacy saving level examination happens on existing Privacy Preserving
Mining of Association Rules from Outsourced Transaction Databases strategy and Secure Multi-
party Computation (SMC) calculation. The examination demonstrated that proposed Algorithm has
8.24% higher privacy safeguarding level than SMC system.
Figure 1: Privacy preserving level of Negative Association Rule Mining
Data utility rate (Figure 2) is characterized as the measure of information used for privacy
protecting utilizing association rule procedures in spatial database. It is estimated regarding
percentage (%).
Data Utility Rate=Amount of data utilized for privacy preserving/ Data Size
Figure 2: Data Utility Rate
Efficiency is characterized as the number of data with no reactions to the aggregate number of
data given. It is estimated as percentage.
Efficiency (%) =Data without any side effect/ Data Size
