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» Privacy in Data Mining Using Formal Methods
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SDM
2008
SIAM
139views Data Mining» more  SDM 2008»
15 years 8 months ago
Semi-Supervised Learning Based on Semiparametric Regularization
Semi-supervised learning plays an important role in the recent literature on machine learning and data mining and the developed semisupervised learning techniques have led to many...
Zhen Guo, Zhongfei (Mark) Zhang, Eric P. Xing, Chr...
PAKDD
2009
ACM
186views Data Mining» more  PAKDD 2009»
16 years 1 months ago
Pairwise Constrained Clustering for Sparse and High Dimensional Feature Spaces
Abstract. Clustering high dimensional data with sparse features is challenging because pairwise distances between data items are not informative in high dimensional space. To addre...
Su Yan, Hai Wang, Dongwon Lee, C. Lee Giles
SIGKDD
2000
231views more  SIGKDD 2000»
15 years 6 months ago
KDD-99 Classifier Learning Contest: LLSoft's Results Overview
Kernel Miner is a new data-mining tool based on building the optimal decision forest. The tool won second place in the KDD'99 Classifier Learning Contest, August 1999. We des...
Itzhak Levin
SLOGICA
2010
135views more  SLOGICA 2010»
15 years 1 months ago
A Contraction-free and Cut-free Sequent Calculus for Propositional Dynamic Logic
In this paper we present a sequent calculus for propositional dynamic logic built using an enriched version of the tree-hypersequent method and including an infinitary rule for the...
Brian Hill, Francesca Poggiolesi
KDD
2008
ACM
120views Data Mining» more  KDD 2008»
16 years 7 months ago
Multi-class cost-sensitive boosting with p-norm loss functions
We propose a family of novel cost-sensitive boosting methods for multi-class classification by applying the theory of gradient boosting to p-norm based cost functionals. We establ...
Aurelie C. Lozano, Naoki Abe