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» A Clustering Approach for Achieving Data Privacy
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SDM
2007
SIAM
152views Data Mining» more  SDM 2007»
13 years 8 months ago
HP2PC: Scalable Hierarchically-Distributed Peer-to-Peer Clustering
In distributed data mining models, adopting a flat node distribution model can affect scalability. To address the problem of modularity, flexibility and scalability, we propose...
Khaled M. Hammouda, Mohamed S. Kamel
ICML
2006
IEEE
14 years 8 months ago
Discriminative cluster analysis
Clustering is one of the most widely used statistical tools for data analysis. Among all existing clustering techniques, k-means is a very popular method because of its ease of pr...
Fernando De la Torre, Takeo Kanade
SDM
2008
SIAM
139views Data Mining» more  SDM 2008»
13 years 8 months ago
Simultaneous Unsupervised Learning of Disparate Clusterings
Most clustering algorithms produce a single clustering for a given data set even when the data can be clustered naturally in multiple ways. In this paper, we address the difficult...
Prateek Jain, Raghu Meka, Inderjit S. Dhillon
INFOCOM
2012
IEEE
11 years 9 months 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...
INFOCOM
2011
IEEE
12 years 11 months ago
A distributed and privacy preserving algorithm for identifying information hubs in social networks
—This paper addresses the problem of identifying the top-k information hubs in a social network. Identifying topk information hubs is crucial for many applications such as advert...
Muhammad Usman Ilyas, Muhammad Zubair Shafiq, Alex...