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» Theoretical Frameworks for Data Mining
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ICDM
2002
IEEE
70views Data Mining» more  ICDM 2002»
14 years 2 months ago
Progressive Modeling
Presently, inductive learning is still performed in a frustrating batch process. The user has little interaction with the system and no control over the final accuracy and traini...
Wei Fan, Haixun Wang, Philip S. Yu, Shaw-hwa Lo, S...
PKDD
2010
Springer
160views Data Mining» more  PKDD 2010»
13 years 7 months ago
Sparse Unsupervised Dimensionality Reduction Algorithms
Abstract. Principal component analysis (PCA) and its dual—principal coordinate analysis (PCO)—are widely applied to unsupervised dimensionality reduction. In this paper, we sho...
Wenjun Dou, Guang Dai, Congfu Xu, Zhihua Zhang
SDM
2007
SIAM
104views Data Mining» more  SDM 2007»
13 years 10 months ago
Fast Multilevel Transduction on Graphs
The recent years have witnessed a surge of interest in graphbased semi-supervised learning methods. The common denominator of these methods is that the data are represented by the...
Fei Wang, Changshui Zhang
SIGMOD
2004
ACM
170views Database» more  SIGMOD 2004»
14 years 9 months ago
A Formal Analysis of Information Disclosure in Data Exchange
We perform a theoretical study of the following queryview security problem: given a view V to be published, does V logically disclose information about a confidential query S? The...
Gerome Miklau, Dan Suciu
ICDM
2009
IEEE
109views Data Mining» more  ICDM 2009»
14 years 4 months ago
Finding Associations and Computing Similarity via Biased Pair Sampling
Sampling-based methods have previously been proposed for the problem of finding interesting associations in data, even for low-support items. While these methods do not guarantee ...
Andrea Campagna, Rasmus Pagh