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ICDE
2008
IEEE
157views Database» more  ICDE 2008»
16 years 7 months ago
Approximate Clustering on Distributed Data Streams
Abstract-- We investigate the problem of clustering on distributed data streams. In particular, we consider the k-median clustering on stream data arriving at distributed sites whi...
Qi Zhang, Jinze Liu, Wei Wang 0010
INFOCOM
2012
IEEE
13 years 8 months ago
On the construction of data aggregation tree with minimum energy cost in wireless sensor networks: NP-completeness and approxima
—In many applications, it is a basic operation for the sink to periodically collect reports from all sensors. Since the data gathering process usually proceeds for many rounds, i...
Tung-Wei Kuo, Ming-Jer Tsai
MFCS
2009
Springer
15 years 11 months ago
An Improved Approximation Bound for Spanning Star Forest and Color Saving
We present a simple algorithm for the maximum spanning star forest problem. We take advantage of the fact that the problem is a special case of complementary set cover and we adapt...
Stavros Athanassopoulos, Ioannis Caragiannis, Chri...
STOC
2006
ACM
152views Algorithms» more  STOC 2006»
16 years 6 months ago
Private approximation of search problems
Many approximation algorithms have been presented in the last decades for hard search problems. The focus of this paper is on cryptographic applications, where it is desired to de...
Amos Beimel, Paz Carmi, Kobbi Nissim, Enav Weinreb
ISIPTA
2005
IEEE
168views Mathematics» more  ISIPTA 2005»
16 years 13 hour ago
Approximate Inference in Credal Networks by Variational Mean Field Methods
Graph-theoretical representations for sets of probability measures (credal networks) generally display high complexity, and approximate inference seems to be a natural solution fo...
Jaime Shinsuke Ide, Fabio Gagliardi Cozman