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231
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VLDB
2007
ACM
179views Database» more  VLDB 2007»
16 years 3 months ago
Mining Approximate Top-K Subspace Anomalies in Multi-Dimensional Time-Series Data
Market analysis is a representative data analysis process with many applications. In such an analysis, critical numerical measures, such as profit and sales, fluctuate over time a...
Xiaolei Li, Jiawei Han
IAT
2006
IEEE
15 years 9 months ago
An Approximate Algorithm for Resource Allocation Using Combinatorial Auctions
Combinatorial Auctions (CAs), where users bid on combination of items, have emerged as a useful tool for resource allocation in distributed systems. However, two main difficulties...
Viswanath Avasarala, Himanshu Polavarapu, Tracy Mu...
112
Voted
VMCAI
2007
Springer
15 years 9 months ago
Better Under-Approximation of Programs by Hiding Variables
Abstraction frameworks use under-approximating transitions in order to prove existential properties of concrete systems. Under-approximating transifer to the concrete states that c...
Thomas Ball, Orna Kupferman
151
Voted
FOCS
2009
IEEE
15 years 10 months ago
Decomposing Coverings and the Planar Sensor Cover Problem
We show that a k-fold covering using translates of an arbitrary convex polygon can be decomposed into Omega(k) covers (using an efficient algorithm). We generalize this result to ...
Matt Gibson, Kasturi R. Varadarajan
ICML
2005
IEEE
16 years 4 months ago
A practical generalization of Fourier-based learning
This paper presents a search algorithm for finding functions that are highly correlated with an arbitrary set of data. The functions found by the search can be used to approximate...
Adam Drake, Dan Ventura