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KDD
2008
ACM
174views Data Mining» more  KDD 2008»
16 years 2 months ago
Automatic identification of quasi-experimental designs for discovering causal knowledge
Researchers in the social and behavioral sciences routinely rely on quasi-experimental designs to discover knowledge from large databases. Quasi-experimental designs (QEDs) exploi...
David D. Jensen, Andrew S. Fast, Brian J. Taylor, ...
KDD
2001
ACM
163views Data Mining» more  KDD 2001»
16 years 2 months ago
Learning to recognize brain specific proteins based on low-level features from on-line prediction servers
During the last decade, the area of bioinformatics has produced an overwhelming amount of data, with the recently published draft of the human genome being the most prominent exam...
Henrik Boström, Joakim Cöster, Lars Aske...
SAC
2009
ACM
15 years 8 months ago
Applying latent dirichlet allocation to group discovery in large graphs
This paper introduces LDA-G, a scalable Bayesian approach to finding latent group structures in large real-world graph data. Existing Bayesian approaches for group discovery (suc...
Keith Henderson, Tina Eliassi-Rad
DEXA
2009
Springer
127views Database» more  DEXA 2009»
15 years 8 months ago
The Real Performance Drivers behind XML Lock Protocols
Abstract. Fine-grained lock protocols should allow for highly concurrent transaction processing on XML document trees, which is addressed by the taDOM lock protocol family enabling...
Sebastian Bächle, Theo Härder
ASWC
2008
Springer
15 years 4 months ago
Scalable Distributed Ontology Reasoning Using DHT-Based Partitioning
Abstract. Ontology reasoning is an indispensable step to fully exploit the implicit semantics of Semantic Web data. The inherent distribution characteristic of the Semantic Web and...
Qiming Fang, Ying Zhao, Guangwen Yang, Weimin Zhen...