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» Medical data mining using evolutionary computation
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SDM
2009
SIAM
343views Data Mining» more  SDM 2009»
14 years 7 months ago
Change-Point Detection in Time-Series Data by Direct Density-Ratio Estimation.
Change-point detection is the problem of discovering time points at which properties of time-series data change. This covers a broad range of real-world problems and has been acti...
Masashi Sugiyama, Yoshinobu Kawahara
KDD
2004
ACM
624views Data Mining» more  KDD 2004»
14 years 3 months ago
Programming the K-means clustering algorithm in SQL
Using SQL has not been considered an efficient and feasible way to implement data mining algorithms. Although this is true for many data mining, machine learning and statistical a...
Carlos Ordonez
WOA
2010
13 years 8 months ago
Classification of Whereabouts Patterns From Large-scale Mobility Data
Classification of users' whereabouts patterns is important for many emerging ubiquitous computing applications. Latent Dirichlet Allocation (LDA) is a powerful mechanism to e...
Laura Ferrari, Marco Mamei
IPMI
2003
Springer
14 years 11 months ago
Spatiotemporal Localization of Significant Activation in MEG Using Permutation Tests
Abstract. We describe the use of non-parametric permutation tests to detect activation in cortically-constrained maps of current density computed from MEG data. The methods are app...
Dimitrios Pantazis, Thomas E. Nichols, Sylvain Bai...
SDM
2012
SIAM
304views Data Mining» more  SDM 2012»
12 years 13 days ago
Fast Random Walk Graph Kernel
Random walk graph kernel has been used as an important tool for various data mining tasks including classification and similarity computation. Despite its usefulness, however, it...
U. Kang, Hanghang Tong, Jimeng Sun