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SODA
2012
ACM
297views Algorithms» more  SODA 2012»
11 years 10 months ago
Constant factor approximation algorithm for the knapsack median problem
We give a constant factor approximation algorithm for the following generalization of the k-median problem. We are given a set of clients and facilities in a metric space. Each fa...
Amit Kumar
ICDM
2007
IEEE
116views Data Mining» more  ICDM 2007»
14 years 1 months ago
Privacy-Preserving k-NN for Small and Large Data Sets
It is not surprising that there is strong interest in kNN queries to enable clustering, classification and outlierdetection tasks. However, previous approaches to privacypreservi...
Artak Amirbekyan, Vladimir Estivill-Castro
INFOCOM
2002
IEEE
14 years 15 days ago
A Scalable Approach to the Partition of QoS Requirements in Unicast and Multicast
—Supporting quality of service (QoS) in large-scale broadband networks poses major challenges, due to the intrinsic complexity of the corresponding resource allocation problems. ...
Ariel Orda, Alexander Sprintson
MCS
2001
Springer
14 years 7 hour ago
Finding Consistent Clusters in Data Partitions
Abstract. Given an arbitrary data set, to which no particular parametrical, statistical or geometrical structure can be assumed, different clustering algorithms will in general pr...
Ana L. N. Fred
SIGMOD
2005
ACM
254views Database» more  SIGMOD 2005»
14 years 7 months ago
Conceptual Partitioning: An Efficient Method for Continuous Nearest Neighbor Monitoring
Given a set of objects P and a query point q, a k nearest neighbor (k-NN) query retrieves the k objects in P that lie closest to q. Even though the problem is well-studied for sta...
Kyriakos Mouratidis, Marios Hadjieleftheriou, Dimi...