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SSDBM
2010
IEEE
117views Database» more  SSDBM 2010»
15 years 5 months ago
Finding Top-k Similar Pairs of Objects Annotated with Terms from an Ontology
With the growing focus on semantic searches and interpretations, an increasing number of standardized vocabularies and ontologies are being designed and used to describe data. We ...
Arnab Bhattacharya, Abhishek Bhowmick, Ambuj K. Si...
SSDBM
2010
IEEE
153views Database» more  SSDBM 2010»
15 years 5 months ago
Scalable Clustering Algorithm for N-Body Simulations in a Shared-Nothing Cluster
Abstract. Scientists’ ability to generate and collect massive-scale datasets is increasing. As a result, constraints in data analysis capability rather than limitations in the av...
YongChul Kwon, Dylan Nunley, Jeffrey P. Gardner, M...
APWEB
2010
Springer
15 years 4 months ago
Optimizing Query Processing for the Hidden Web
Abstract. The term Deep Web (sometimes also called Hidden Web) refers to the data content that is created dynamically as the result of a specific search on the Web. In this respec...
Andrea Calì, Davide Martinenghi
KDD
2009
ACM
224views Data Mining» more  KDD 2009»
15 years 4 months ago
Issues in evaluation of stream learning algorithms
Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...
João Gama, Raquel Sebastião, Pedro P...
ICDT
2001
ACM
147views Database» more  ICDT 2001»
15 years 4 months ago
Parallelizing the Data Cube
This paper presents a general methodology for the efficient parallelization of existing data cube construction algorithms. We describe two different partitioning strategies, one f...
Frank K. H. A. Dehne, Todd Eavis, Susanne E. Hambr...