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» Data Mining: Machine Learning, Statistics, and Databases
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PAKDD
2011
ACM
253views Data Mining» more  PAKDD 2011»
14 years 4 months ago
Balance Support Vector Machines Locally Using the Structural Similarity Kernel
A structural similarity kernel is presented in this paper for SVM learning, especially for learning with imbalanced datasets. Kernels in SVM are usually pairwise, comparing the sim...
Jianxin Wu
AIED
2005
Springer
15 years 7 months ago
Educational Data Mining: a Case Study
In this paper, we show how using data mining algorithms can help discovering pedagogically relevant knowledge contained in databases obtained from Web-based educational systems. Th...
Agathe Merceron, Kalina Yacef
ML
2012
ACM
413views Machine Learning» more  ML 2012»
13 years 9 months ago
Gradient-based boosting for statistical relational learning: The relational dependency network case
Dependency networks approximate a joint probability distribution over multiple random variables as a product of conditional distributions. Relational Dependency Networks (RDNs) are...
Sriraam Natarajan, Tushar Khot, Kristian Kersting,...
CORR
2008
Springer
105views Education» more  CORR 2008»
15 years 1 months ago
Robust Machine Learning Applied to Terascale Astronomical Datasets
We present recent results from the LCDM3 collaboration between UIUC Astronomy and NCSA to deploy supercomputing cluster resources and machine learning algorithms for the mining of ...
Nicholas M. Ball, Robert J. Brunner, Adam D. Myers
FGCS
2007
86views more  FGCS 2007»
15 years 1 months ago
A grid-based approach for enterprise-scale data mining
Abstract— We describe a grid-based approach for enterprisescale data mining that leverages database technology for I/O parallelism, and on-demand compute servers for compute para...
Ramesh Natarajan, Radu Sion, Thomas Phan