8 search results - page 1 / 2 » Efficient Privacy Preserving K-Means Clustering |
TDP
2010
12 years 11 months ago
2010
The ability to store vast quantities of data and the emergence of high speed networking have led to intense interest in distributed data mining. However, privacy concerns, as well ...
PAISI
2010
Springer
13 years 2 months ago
2010
Springer
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...
ICDM
2009
IEEE
13 years 11 months ago
2009
IEEE
This work examines under what conditions compression methodologies can retain the outcome of clustering operations. We focus on the popular k-Means clustering algorithm and we dem...
GRC
2007
IEEE
13 years 11 months ago
2007
IEEE
The bulk of contents out on the Internet continue to grow at an astounding pace. As computing and communications become ubiquitous, we are entering the Mobile Internet Computing e...
KDD
2007
ACM
14 years 5 months ago
2007
ACM
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...