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» Managing large datasets with iRODS - a performance analyses
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IEEESCC
2007
IEEE
15 years 3 months ago
Swift: Fast, Reliable, Loosely Coupled Parallel Computation
A common pattern in scientific computing involves the execution of many tasks that are coupled only in the sense that the output of one may be passed as input to one or more other...
Yong Zhao, Mihael Hategan, Ben Clifford, Ian T. Fo...
CIKM
2008
Springer
14 years 11 months ago
Are click-through data adequate for learning web search rankings?
Learning-to-rank algorithms, which can automatically adapt ranking functions in web search, require a large volume of training data. A traditional way of generating training examp...
Zhicheng Dou, Ruihua Song, Xiaojie Yuan, Ji-Rong W...
CIKM
2008
Springer
14 years 11 months ago
SNIF TOOL: sniffing for patterns in continuous streams
Continuous time-series sequence matching, specifically, matching a numeric live stream against a set of predefined pattern sequences, is critical for domains ranging from fire spr...
Abhishek Mukherji, Elke A. Rundensteiner, David C....
SC
2009
ACM
15 years 4 months ago
Kepler + Hadoop: a general architecture facilitating data-intensive applications in scientific workflow systems
MapReduce provides a parallel and scalable programming model for data-intensive business and scientific applications. MapReduce and its de facto open source project, called Hadoop...
Jianwu Wang, Daniel Crawl, Ilkay Altintas
ICMLA
2007
14 years 11 months ago
Understanding Challenges in Preserving and Reconstructing Computer-Assisted Medical Decision Processes
— This paper addresses the problem of understanding preservation and reconstruction requirements for computeraided medical decision-making. With an increasing number of computer-...
Sang-Chul Lee, Peter Bajcsy