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ICDM
2007
IEEE
175views Data Mining» more  ICDM 2007»
16 years 1 months ago
gApprox: Mining Frequent Approximate Patterns from a Massive Network
Recently, there arise a large number of graphs with massive sizes and complex structures in many new applications, such as biological networks, social networks, and the Web, deman...
Chen Chen, Xifeng Yan, Feida Zhu, Jiawei Han
VLDB
2005
ACM
129views Database» more  VLDB 2005»
16 years 9 days ago
Sketching Streams Through the Net: Distributed Approximate Query Tracking
Emerging large-scale monitoring applications require continuous tracking of complex dataanalysis queries over collections of physicallydistributed streams. Effective solutions hav...
Graham Cormode, Minos N. Garofalakis
VLDB
1998
ACM
111views Database» more  VLDB 1998»
15 years 11 months ago
Filtering with Approximate Predicates
Approximate predicates can be used to reduce the number of comparisons made by expensive, complex predicates. For example, to check if a point is within a region (expensive predic...
Narayanan Shivakumar, Hector Garcia-Molina, Chandr...
AAAI
2006
15 years 8 months ago
Compact, Convex Upper Bound Iteration for Approximate POMDP Planning
Partially observable Markov decision processes (POMDPs) are an intuitive and general way to model sequential decision making problems under uncertainty. Unfortunately, even approx...
Tao Wang, Pascal Poupart, Michael H. Bowling, Dale...
179
Voted
SODA
2000
ACM
96views Algorithms» more  SODA 2000»
15 years 8 months ago
Improved Steiner tree approximation in graphs
The Steiner tree problem in weighted graphs seeks a minimum weight connected subgraph containing a given subset of the vertices terminals. We present a new polynomial-time heurist...
Gabriel Robins, Alexander Zelikovsky