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» Theoretical Frameworks for Data Mining
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CCGRID
2009
IEEE
14 years 4 months ago
Performance Issues in Parallelizing Data-Intensive Applications on a Multi-core Cluster
The deluge of available data for analysis demands the need to scale the performance of data mining implementations. With the current architectural trends, one of the major challen...
Vignesh T. Ravi, Gagan Agrawal
ICDM
2006
IEEE
161views Data Mining» more  ICDM 2006»
14 years 4 months ago
Hierarchical Density Shaving: A clustering and visualization framework for large biological datasets
In many clustering applications for bioinformatics, only part of the data clusters into one or more groups while the rest needs to be pruned. For such situations, we present Hiera...
Gunjan Gupta, Alexander Liu, Joydeep Ghosh
KDD
2005
ACM
153views Data Mining» more  KDD 2005»
14 years 10 months ago
Using retrieval measures to assess similarity in mining dynamic web clickstreams
While scalable data mining methods are expected to cope with massive Web data, coping with evolving trends in noisy data in a continuous fashion, and without any unnecessary stopp...
Olfa Nasraoui, Cesar Cardona, Carlos Rojas
FLAIRS
2010
14 years 11 days ago
Mining Actionable Patterns
We propose a generic framework that uses utility in decision making to drive the data mining process. We use concepts from meta-learning and build on earlier work by Elovici and B...
Prabakararaj Swapna Raj, Ravindran Balaraman
BPM
2006
Springer
109views Business» more  BPM 2006»
14 years 1 months ago
A Generic Import Framework for Process Event Logs
Abstract. The application of process mining techniques to real-life corporate environments has been of an ad-hoc nature so far, focused on proving the concept. One major reason for...
Christian W. Günther, Wil M. P. van der Aalst