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IHI
2010
198views Healthcare» more  IHI 2010»
14 years 4 months ago
Large-scale multimodal mining for healthcare with mapreduce
Recent advances in healthcare and bioscience technologies and proliferation of portable medical devices are producing massive amounts of multimodal data. The need for parallel pro...
Fei Wang, Vuk Ercegovac, Tanveer Fathima Syeda-Mah...
IPPS
2006
IEEE
15 years 3 months ago
Performance analysis of Java concurrent programming: a case study of video mining system
As multi/many core processors become prevalent, programming language is important in constructing efficient parallel applications. In this work, we build a multithreaded video min...
Wenlong Li, Eric Li, Ran Meng, Tao Wang, Carole Du...
KDD
2002
ACM
179views Data Mining» more  KDD 2002»
15 years 10 months ago
Combining clustering and co-training to enhance text classification using unlabelled data
In this paper, we present a new co-training strategy that makes use of unlabelled data. It trains two predictors in parallel, with each predictor labelling the unlabelled data for...
Bhavani Raskutti, Herman L. Ferrá, Adam Kow...
CLUSTER
2003
IEEE
15 years 3 months ago
A Cluster-Based Solution for High Performance Hmmpfam Using EARTH Execution Model
Hmmpfam is a widely used computation-intensive bioinformatics software for sequence classification. The contribution of this paper is the first largely scalable and robust clust...
Weirong Zhu, Yanwei Niu, Jizhu Lu, Chuan Shen, Gua...
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CCGRID
2008
IEEE
15 years 4 months ago
Data Management Challenges of Data-Intensive Scientific Workflows
Scientific workflows play an important role in today’s science. Many disciplines rely on workflow technologies to orchestrate the execution of thousands of computational tasks. ...
Ewa Deelman, Ann L. Chervenak