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» Privacy Preserving in Clustering using Fuzzy Sets
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TCC
2005
Springer
102views Cryptology» more  TCC 2005»
14 years 2 months ago
Toward Privacy in Public Databases
Abstract. We initiate a theoretical study of the census problem. Informally, in a census individual respondents give private information to a trusted party (the census bureau), who...
Shuchi Chawla, Cynthia Dwork, Frank McSherry, Adam...
AUSDM
2008
Springer
238views Data Mining» more  AUSDM 2008»
13 years 10 months ago
Graphics Hardware based Efficient and Scalable Fuzzy C-Means Clustering
The exceptional growth of graphics hardware in programmability and data processing speed in the past few years has fuelled extensive research in using it for general purpose compu...
S. A. Arul Shalom, Manoranjan Dash, Minh Tue
TFS
2008
116views more  TFS 2008»
13 years 8 months ago
Fuzzifying Allen's Temporal Interval Relations
When the time span of an event is imprecise, it can be represented by a fuzzy set, called a fuzzy time interval. In this paper, we propose a framework to represent, compute, and re...
Steven Schockaert, Martine De Cock, Etienne E. Ker...
DCOSS
2009
Springer
14 years 3 months ago
Detection and Localization Sensor Assignment with Exact and Fuzzy Locations
Sensor networks introduce new resource allocation problems in which sensors need to be assigned to the tasks they best help. Such problems have been previously studied in simplifi...
Hosam Rowaihy, Matthew P. Johnson, Diego Pizzocaro...
NIPS
2003
13 years 10 months ago
Geometric Clustering Using the Information Bottleneck Method
We argue that K–means and deterministic annealing algorithms for geometric clustering can be derived from the more general Information Bottleneck approach. If we cluster the ide...
Susanne Still, William Bialek, Léon Bottou