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» Passage time distributions in large Markov chains
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KDD
2006
ACM
179views Data Mining» more  KDD 2006»
14 years 7 months ago
Extracting key-substring-group features for text classification
In many text classification applications, it is appealing to take every document as a string of characters rather than a bag of words. Previous research studies in this area mostl...
Dell Zhang, Wee Sun Lee
SDM
2009
SIAM
157views Data Mining» more  SDM 2009»
14 years 4 months ago
MUSK: Uniform Sampling of k Maximal Patterns.
Recent research in frequent pattern mining (FPM) has shifted from obtaining the complete set of frequent patterns to generating only a representative (summary) subset of frequent ...
Mohammad Al Hasan, Mohammed Javeed Zaki
BMCBI
2007
153views more  BMCBI 2007»
13 years 7 months ago
Estimating genealogies from linked marker data: a Bayesian approach
Background: Answers to several fundamental questions in statistical genetics would ideally require knowledge of the ancestral pedigree and of the gene flow therein. A few examples...
Dario Gasbarra, Matti Pirinen, Mikko J. Sillanp&au...
HPDC
2010
IEEE
13 years 8 months ago
Data parallelism in bioinformatics workflows using Hydra
Large scale bioinformatics experiments are usually composed by a set of data flows generated by a chain of activities (programs or services) that may be modeled as scientific work...
Fábio Coutinho, Eduardo S. Ogasawara, Danie...
HPDC
2006
IEEE
14 years 1 months ago
Resource Availability Prediction in Fine-Grained Cycle Sharing Systems
Fine-Grained Cycle Sharing (FGCS) systems aim at utilizing the large amount of computational resources available on the Internet. In FGCS, host computers allow guest jobs to utili...
Xiaojuan Ren, Seyong Lee, Rudolf Eigenmann, Saurab...