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» Development of Large Scientific Knowledge Bases
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KDD
2009
ACM
198views Data Mining» more  KDD 2009»
15 years 10 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...
88
Voted
SIGSOFT
2005
ACM
15 years 3 months ago
PR-Miner: automatically extracting implicit programming rules and detecting violations in large software code
Programs usually follow many implicit programming rules, most of which are too tedious to be documented by programmers. When these rules are violated by programmers who are unawar...
Zhenmin Li, Yuanyuan Zhou
106
Voted
BCB
2010
140views Bioinformatics» more  BCB 2010»
14 years 5 months ago
Guiding belief propagation using domain knowledge for protein-structure determination
A major bottleneck in high-throughput protein crystallography is producing protein-structure models from an electrondensity map. In previous work, we developed Acmi, a probabilist...
Ameet Soni, Craig A. Bingman, Jude W. Shavlik
77
Voted
WSC
1998
14 years 11 months ago
Simulation of Large Precast Operations
This paper presents the analysis of the optimization for the production of precast pieces in a workshop with the help of simulation to obtain several working alternatives. The mai...
Edmundo Balbontín-Bravo
109
Voted
AAAI
2006
14 years 11 months ago
OntoSearch: A Full-Text Search Engine for the Semantic Web
OntoSearch, a full-text search engine that exploits ontological knowledge for document retrieval, is presented in this paper. Different from other ontology based search engines, O...
Xing Jiang, Ah-Hwee Tan