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» Phenomenal Data Mining: From Data to Phenomena
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KDD
2006
ACM
109views Data Mining» more  KDD 2006»
16 years 1 months ago
Extracting redundancy-aware top-k patterns
Observed in many applications, there is a potential need of extracting a small set of frequent patterns having not only high significance but also low redundancy. The significance...
Dong Xin, Hong Cheng, Xifeng Yan, Jiawei Han
SDM
2009
SIAM
180views Data Mining» more  SDM 2009»
15 years 10 months ago
Structure and Dynamics of Research Collaboration in Computer Science.
Complex systems exhibit emergent patterns of behavior at different levels of organization. Powerful network analysis methods, developed in physics and social sciences, have been s...
Andre Nash, Christian Bird, Earl T. Barr, Premkuma...
ICDM
2010
IEEE
276views Data Mining» more  ICDM 2010»
14 years 11 months ago
Accelerating Dynamic Time Warping Subsequence Search with GPUs and FPGAs
Many time series data mining problems require subsequence similarity search as a subroutine. While this can be performed with any distance measure, and dozens of distance measures ...
Doruk Sart, Abdullah Mueen, Walid A. Najjar, Eamon...
ICDM
2010
IEEE
152views Data Mining» more  ICDM 2010»
14 years 11 months ago
Reviewer Profiling Using Sparse Matrix Regression
Thousands of scientific conferences happen every year, and each involves a laborious scientific peer review process conducted by one or more busy scientists serving as Technical/Sc...
Evangelos E. Papalexakis, Nicholas D. Sidiropoulos...
136
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KDD
2009
ACM
249views Data Mining» more  KDD 2009»
16 years 2 months ago
Drosophila gene expression pattern annotation using sparse features and term-term interactions
The Drosophila gene expression pattern images document the spatial and temporal dynamics of gene expression and they are valuable tools for explicating the gene functions, interac...
Shuiwang Ji, Lei Yuan, Ying-Xin Li, Zhi-Hua Zhou, ...