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ICDM
2007
IEEE
248views Data Mining» more  ICDM 2007»
15 years 10 months ago
Adapting SVM Classifiers to Data with Shifted Distributions
Many data mining applications can benefit from adapting existing classifiers to new data with shifted distributions. In this paper, we present Adaptive Support Vector Machine (Ada...
Jun Yang 0003, Rong Yan, Alexander G. Hauptmann
KDD
2010
ACM
188views Data Mining» more  KDD 2010»
15 years 4 months ago
Trust network inference for online rating data using generative models
In an online rating system, raters assign ratings to objects contributed by other users. In addition, raters can develop trust and distrust on object contributors depending on a f...
Freddy Chong Tat Chua, Ee-Peng Lim
PVLDB
2010
146views more  PVLDB 2010»
15 years 1 months ago
HaLoop: Efficient Iterative Data Processing on Large Clusters
The growing demand for large-scale data mining and data analysis applications has led both industry and academia to design new types of highly scalable data-intensive computing pl...
Yingyi Bu, Bill Howe, Magdalena Balazinska, Michae...
ICDE
2006
IEEE
152views Database» more  ICDE 2006»
16 years 8 months ago
Mining Actionable Patterns by Role Models
Data mining promises to discover valid and potentially useful patterns in data. Often, discovered patterns are not useful to the user. "Actionability" addresses this pro...
Ke Wang, Yuelong Jiang, Alexander Tuzhilin
KDD
2006
ACM
123views Data Mining» more  KDD 2006»
16 years 7 months ago
Mining rank-correlated sets of numerical attributes
We study the mining of interesting patterns in the presence of numerical attributes. Instead of the usual discretization methods, we propose the use of rank based measures to scor...
Toon Calders, Bart Goethals, Szymon Jaroszewicz