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» Component Engineering for Large Database Applications
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CLUSTER
2009
IEEE
14 years 2 months ago
Analyzing massive astrophysical datasets: Can Pig/Hadoop or a relational DBMS help?
Abstract— As the datasets used to fuel modern scientific discovery grow increasingly large, they become increasingly difficult to manage using conventional software. Parallel d...
Sarah Loebman, Dylan Nunley, YongChul Kwon, Bill H...
ESWS
2004
Springer
14 years 24 days ago
Learning to Harvest Information for the Semantic Web
Abstract. In this paper we describe a methodology for harvesting information from large distributed repositories (e.g. large Web sites) with minimum user intervention. The methodol...
Fabio Ciravegna, Sam Chapman, Alexiei Dingli, Yori...
PDPTA
2000
13 years 8 months ago
Performance Analysis of a Cluster File System
Design of cluster file system is very important for building a general-purpose cluster with commodity components. To provide scalable high I/O performance needed in the scientific...
Cong Du, Zhiwei Xu
ISSTA
2004
ACM
14 years 25 days ago
An optimizing compiler for batches of temporal logic formulas
Model checking based on validating temporal logic formulas has proven practical and effective for numerous software engineering applications. As systems based on this approach ha...
James Ezick
DASFAA
2004
IEEE
135views Database» more  DASFAA 2004»
13 years 11 months ago
Semi-supervised Text Classification Using Partitioned EM
Text classification using a small labeled set and a large unlabeled data is seen as a promising technique to reduce the labor-intensive and time consuming effort of labeling traini...
Gao Cong, Wee Sun Lee, Haoran Wu, Bing Liu