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» A Bayesian Approach to Tackling Hard Computational Problems
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WWW
2006
ACM
14 years 11 months ago
Probabilistic models for discovering e-communities
The increasing amount of communication between individuals in e-formats (e.g. email, Instant messaging and the Web) has motivated computational research in social network analysis...
Ding Zhou, Eren Manavoglu, Jia Li, C. Lee Giles, H...
IMC
2006
ACM
14 years 4 months ago
Shared-state sampling
We present an algorithm, Shared-State Sampling (S3 ), for the problem of detecting large flows in high-speed networks. While devised with different principles in mind, S3 turns ...
Frederic Raspall, Sebastià Sallent, Josep Y...
ICDM
2002
IEEE
156views Data Mining» more  ICDM 2002»
14 years 3 months ago
Predicting Rare Events In Temporal Domains
Temporal data mining aims at finding patterns in historical data. Our work proposes an approach to extract temporal patterns from data to predict the occurrence of target events,...
Ricardo Vilalta, Sheng Ma
DEXA
2007
Springer
150views Database» more  DEXA 2007»
14 years 5 months ago
Sequence Alignment as a Database Technology Challenge
Abstract. Sequence alignment is an important task for molecular biologists. Because alignment basically deals with approximate string matching on large biological sequence collecti...
Hans Philippi
ANOR
2004
116views more  ANOR 2004»
13 years 10 months ago
Approximations and Randomization to Boost CSP Techniques
Abstract. In recent years we have seen an increasing interest in combining constraint satisfaction problem (CSP) formulations and linear programming (LP) based techniques for solvi...
Carla P. Gomes, David B. Shmoys