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PODS
2004
ACM
130views Database» more  PODS 2004»
15 years 10 months ago
Computational Complexity of Itemset Frequency Satisfiability
Computing frequent itemsets is one of the most prominent problems in data mining. We introduce a new, related problem, called FREQSAT: given some itemset-interval pairs, does ther...
Toon Calders
ICDM
2007
IEEE
104views Data Mining» more  ICDM 2007»
15 years 4 months ago
Secure Logistic Regression of Horizontally and Vertically Partitioned Distributed Databases
Privacy-preserving data mining (PPDM) techniques aim to construct efficient data mining algorithms while maintaining privacy. Statistical disclosure limitation (SDL) techniques a...
Aleksandra B. Slavkovic, Yuval Nardi, Matthew M. T...
PAKDD
2010
ACM
275views Data Mining» more  PAKDD 2010»
15 years 1 months ago
Anonymizing Transaction Data by Integrating Suppression and Generalization
Abstract. Privacy protection in publishing transaction data is an important problem. A key feature of transaction data is the extreme sparsity, which renders any single technique i...
Junqiang Liu, Ke Wang
INFOCOM
2012
IEEE
13 years 9 days ago
Location privacy preservation in collaborative spectrum sensing
—Collaborative spectrum sensing has been regarded as a promising approach to enable secondary users to detect primary users by exploiting spatial diversity. In this paper, we con...
Shuai Li, Haojin Zhu, Zhaoyu Gao, Xinping Guan, Ka...
PAISI
2010
Springer
14 years 7 months ago
Efficient Privacy Preserving K-Means Clustering
Abstract. This paper introduces an efficient privacy-preserving protocol for distributed K-means clustering over an arbitrary partitioned data, shared among N parties. Clustering i...
Maneesh Upmanyu, Anoop M. Namboodiri, Kannan Srina...