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» Scalable data dissemination using hybrid methods
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EDM
2009
125views Data Mining» more  EDM 2009»
13 years 5 months ago
A Data Mining Approach to Reveal Representative Collaboration Indicators in Open Collaboration Frameworks
Data mining methods are successful in educational environments to discover new knowledge or learner skills or features. Unfortunately, they have not been used in depth with collabo...
Antonio R. Anaya, Jesus Boticario
ICDM
2003
IEEE
101views Data Mining» more  ICDM 2003»
14 years 1 months ago
Interactive Visualization and Navigation in Large Data Collections using the Hyperbolic Space
We propose the combination of two recently introduced methods for the interactive visual data mining of large collections of data. Both, Hyperbolic Multi-Dimensional Scaling (HMDS...
Jörg A. Walter, Jörg Ontrup, Daniel Wess...
GECCO
2005
Springer
101views Optimization» more  GECCO 2005»
14 years 1 months ago
A scalable parallel genetic algorithm for x-ray spectroscopic analysis
We use a parallel multi-objective genetic algorithm to drive a search and reconstruction spectroscopic analysis of plasma gradients in inertial confinement fusion (ICF) implosion...
Kai Xu, Sushil J. Louis, Roberto C. Mancini
PVLDB
2010
136views more  PVLDB 2010»
13 years 6 months ago
SigMatch: Fast and Scalable Multi-Pattern Matching
Multi-pattern matching involves matching a data item against a large database of “signature” patterns. Existing algorithms for multipattern matching do not scale well as the s...
Ramakrishnan Kandhan, Nikhil Teletia, Jignesh M. P...
EDBT
2008
ACM
154views Database» more  EDBT 2008»
14 years 8 months ago
Data utility and privacy protection trade-off in k-anonymisation
K-anonymisation is an approach to protecting privacy contained within a dataset. A good k-anonymisation algorithm should anonymise a dataset in such a way that private information...
Grigorios Loukides, Jianhua Shao