18 results with keyword: 'a fast and efficient privacy preserving data mining over vertically partitioned data'
Oliveira and Zaiane [13–16] develop several different methods for association rule mining, clustering and access control for privacy preserving data mining.. There
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Though each site appends its computed results to the received results (consists of processed results of all predecessor sites) sent by its forerunner site to
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[4] Yiqun Huang, Zhengding Lu and Heping Hu, “A method of security im-provement for privacy preserving association rule mining over vertically partitioned data,”
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Then data is merged vertically by parties at the same horizontal layer (having the same j index in P ij ) via a secure size of set intersection protocol to obtain exactly those
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In early work on privacy-preserving data mining, Lindell and Pinkas [13] propose a solution to privacy-preserving classification problem using oblivious transfer protocol, a
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Clifton, “Privacy Preserving Association Rule Mining in Vertically Partitioned Data”, In Proceedings of the 8th ACM SIGKDD International Conference on Knowledge Discovery and
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Clifton, “Privacy Preserving Association Rule Mining in Vertically Partitioned Data”, In Proceedings of the 8 th ACM SIGKDD International Conference on Knowledge Discovery and
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Clifton, "Privacy preserving association rule mining in vertically partitioned data," presented at 8th ACM SIGKDD International Conference on Knowledge
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In this paper, we introduced a new method to ad- dress Privacy-Preserving Clustering (PPC) over centralized data and over vertically partitioned data, called the
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Modeling, Analysis, and Simulation of Wireless and Mobile Systems (MSWIM ’10), pp. Vaidya and ―Privacy Preserving Association Rule Mining in Vertically Partitioned Data,‖
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PPDM Privacy Preserving Data Mining SMC Secure Multiparty Computation KDD Knowledge Discovery in Databases DDM Distributed Data
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In paper [4] authors have proposed CRYPPAR, a full- fledged framework for privacy preserving association rule mining based on cryptographic approach over vertically
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Privacy Preserving Analysis of Vertically Partitioned Data using Secure Matrix Products. Secure statistical analysis of
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The algorithms for privacy preserving association rules mining over horizontally, vertically and mixed partitioned database are presented in this thesis work [12].Secure mining of
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Privacy preserving distributed k-means clustering over arbitrarily partitioned data, Proceedings of the 11th ACM SIGKDD International Conference on Knowledge Discovery and Data
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2- The proposed algorithm presents a method for privately computing data mining process from distributed sources without disclosing any information about the sources or
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In this paper, privacy preserving association rule mining for n number of vertically partitioned databases at n sites along with data mine, find the actual
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knn-based attack performs similar outcomes for increasing density rates including δ=1d unlike acting as an active user attack for precision, recall, and accuracy
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