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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...
ECLIPSE
2006
ACM
15 years 3 months ago
Guidance through active concerns
Producing usable documentation has always been a tedious task, and even communicating important knowledge about a system among collaborators is difficult. This paper describes an ...
Barthélémy Dagenais, Harold Ossher
ISI
2007
Springer
15 years 3 months ago
Mining Higher-Order Association Rules from Distributed Named Entity Databases
The burgeoning amount of textual data in distributed sources combined with the obstacles involved in creating and maintaining central repositories motivates the need for effective ...
Shenzhi Li, Christopher D. Janneck, Aditya P. Bela...
CCGRID
2008
IEEE
15 years 4 months ago
On the Optimization of Resource Utilization in Distributed Multimedia Applications
—The application and research area of Multimedia Content Analysis (MMCA) considers all aspects of the automated extraction of new knowledge from large multimedia data streams and...
R. Yang, Robert D. van der Mei, D. Roubos, Frank J...
ASWC
2006
Springer
15 years 1 months ago
Modular Ontologies - A Formal Investigation of Semantics and Expressivity
With the growing interest in modular ontology languages to address the need for collaborative development, integration, and use of ontologies on the Web, there is an urgent need fo...
Jie Bao, Doina Caragea, Vasant Honavar