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KDD
2009
ACM
198views Data Mining» more  KDD 2009»
16 years 4 months ago
Pervasive parallelism in data mining: dataflow solution to co-clustering large and sparse Netflix data
All Netflix Prize algorithms proposed so far are prohibitively costly for large-scale production systems. In this paper, we describe an efficient dataflow implementation of a coll...
Srivatsava Daruru, Nena M. Marin, Matt Walker, Joy...
DEBS
2010
ACM
15 years 6 months ago
Workload characterization for operator-based distributed stream processing applications
Operator-based programming languages provide an effective development model for large scale stream processing applications. A stream processing application consists of many runtim...
Xiaolan J. Zhang, Sujay Parekh, Bugra Gedik, Henri...
166
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RTSS
2003
IEEE
15 years 8 months ago
Data Caches in Multitasking Hard Real-Time Systems
Data caches are essential in modern processors, bridging the widening gap between main memory and processor speeds. However, they yield very complex performance models, which make...
Xavier Vera, Björn Lisper, Jingling Xue
143
Voted
BMCBI
2010
151views more  BMCBI 2010»
15 years 3 months ago
Classification of G-protein coupled receptors based on support vector machine with maximum relevance minimum redundancy and gene
Background: Because a priori knowledge about function of G protein-coupled receptors (GPCRs) can provide useful information to pharmaceutical research, the determination of their ...
Zhanchao Li, Xuan Zhou, Zong Dai, Xiaoyong Zou
139
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CP
2008
Springer
15 years 5 months ago
CPBPV: A Constraint-Programming Framework for Bounded Program Verification
Abstract. This paper studies how to verify the conformity of a program with its specification and proposes a novel constraint-programming framework for bounded program verification...
Hélène Collavizza, Michel Rueher, Pa...