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» Mining interesting sets and rules in relational databases
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KDD
2006
ACM
157views Data Mining» more  KDD 2006»
15 years 10 months ago
Using structure indices for efficient approximation of network properties
Statistics on networks have become vital to the study of relational data drawn from areas such as bibliometrics, fraud detection, bioinformatics, and the Internet. Calculating man...
Matthew J. Rattigan, Marc Maier, David Jensen
NAR
2007
115views more  NAR 2007»
14 years 9 months ago
PReMod: a database of genome-wide mammalian cis-regulatory module predictions
We describe PReMod, a new database of genomewide cis-regulatory module (CRM) predictions for both the human and the mouse genomes. The prediction algorithm, described previously i...
Vincent Ferretti, Christian Poitras, Dominique Ber...
ICDE
2010
IEEE
206views Database» more  ICDE 2010»
14 years 11 months ago
HECATAEUS: Regulating Schema Evolution
HECATAEUS is an open-source software tool for enabling impact prediction, what-if analysis, and regulation of relational database schema evolution. We follow a graph theoretic appr...
George Papastefanatos, Panos Vassiliadis, Alkis Si...
CAISE
2005
Springer
15 years 3 months ago
Query Processing Using Ontologies
Abstract. Recently, the database and AI research communities have paid increased attention to ontologies. The main motivating reason is that ontologies promise solutions for comple...
Chokri Ben Necib, Johann Christoph Freytag
SIGSOFT
2007
ACM
15 years 10 months ago
Recommending random walks
We improve on previous recommender systems by taking advantage of the layered structure of software. We use a random-walk approach, mimicking the more focused behavior of a develo...
Zachary M. Saul, Vladimir Filkov, Premkumar T. Dev...