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» Numbers in Multi-relational Data Mining
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SDM
2012
SIAM
322views Data Mining» more  SDM 2012»
13 years 7 months ago
Adaptive Multi-task Sparse Learning with an Application to fMRI Study
In this paper, we consider the multi-task sparse learning problem under the assumption that the dimensionality diverges with the sample size. The traditional l1/l2 multi-task lass...
Xi Chen, Jingrui He, Rick Lawrence, Jaime G. Carbo...
127
Voted
KDD
2008
ACM
116views Data Mining» more  KDD 2008»
16 years 5 months ago
Volatile correlation computation: a checkpoint view
Recent years have witnessed increased interest in computing strongly correlated pairs in very large databases. Most previous studies have been focused on static data sets. However...
Wenjun Zhou, Hui Xiong
149
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ICDM
2009
IEEE
145views Data Mining» more  ICDM 2009»
15 years 2 months ago
Significance of Episodes Based on Minimal Windows
Discovering episodes, frequent sets of events from a sequence has been an active field in pattern mining. Traditionally, a level-wise approach is used to discover all frequent epis...
Nikolaj Tatti
BMCBI
2005
163views more  BMCBI 2005»
15 years 4 months ago
Alkahest NuclearBLAST: a user-friendly BLAST management and analysis system
Background -: Sequencing of EST and BAC end datasets is no longer limited to large research groups. Drops in per-base pricing have made high throughput sequencing accessible to in...
Stephen E. Diener, Thomas D. Houfek, Sam E. Kalat,...
161
Voted
KDD
2004
ACM
134views Data Mining» more  KDD 2004»
16 years 5 months ago
Exploiting a support-based upper bound of Pearson's correlation coefficient for efficiently identifying strongly correlated pair
Given a user-specified minimum correlation threshold and a market basket database with N items and T transactions, an all-strong-pairs correlation query finds all item pairs with...
Hui Xiong, Shashi Shekhar, Pang-Ning Tan, Vipin Ku...