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VLDB
2010
ACM
144views Database» more  VLDB 2010»
14 years 10 months ago
Methods for finding frequent items in data streams
The frequent items problem is to process a stream of items and find all items occurring more than a given fraction of the time. It is one of the most heavily studied problems in d...
Graham Cormode, Marios Hadjieleftheriou
SOQUA
2004
15 years 1 months ago
Test Oracles Using Statistical Methods
Abstract: The oracle problem is addressed for random testing and testing of randomized software. The presented Statistical Oracle is a Heuristic Oracle using statistical methods, e...
Johannes Mayer, Ralph Guderlei
MP
2010
162views more  MP 2010»
14 years 10 months ago
Approximation accuracy, gradient methods, and error bound for structured convex optimization
Convex optimization problems arising in applications, possibly as approximations of intractable problems, are often structured and large scale. When the data are noisy, it is of i...
Paul Tseng
WEA
2005
Springer
89views Algorithms» more  WEA 2005»
15 years 5 months ago
Implementation of Approximation Algorithms for the Multicast Congestion Problem
Abstract. We implement the approximation algorithm for the multicast congestion problem in communication networks in [14] based on the fast approximation algorithm for packing prob...
Qiang Lu, Hu Zhang
PRL
2010
158views more  PRL 2010»
14 years 10 months ago
Data clustering: 50 years beyond K-means
: Organizing data into sensible groupings is one of the most fundamental modes of understanding and learning. As an example, a common scheme of scientific classification puts organ...
Anil K. Jain