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AI
1998
Springer
15 years 11 months ago
A Hybrid Convergent Method for Learning Probabilistic Networks
During past few years, a variety of methods have been developed for learning probabilistic networks from data, among which the heuristic single link forward or backward searches ar...
Jun Liu, Kuo-Chu Chang, Jing Zhou
KDD
1997
ACM
146views Data Mining» more  KDD 1997»
15 years 11 months ago
Density-Connected Sets and their Application for Trend Detection in Spatial Databases
1 Several clustering algorithms have been proposed for class identification in spatial databases such as earth observation databases. The effectivity of the well-known algorithms ...
Martin Ester, Hans-Peter Kriegel, Jörg Sander...
DIAGRAMS
2006
Springer
15 years 10 months ago
Canonical Correlation Analysis: Use of Composite Heliographs for Representing Multiple Patterns
In a study of crew interaction with the automatic flight control system of the Boeing 757/767 aircraft, we observed 60 flights and recorded every change in the aircraft control mo...
Asaf Degani, Michael G. Shafto, Leonard Olson
DKE
2008
106views more  DKE 2008»
15 years 7 months ago
Towards optimal k-anonymization
When releasing microdata for research purposes, one needs to preserve the privacy of respondents while maximizing data utility. An approach that has been studied extensively in re...
Tiancheng Li, Ninghui Li
SDM
2010
SIAM
168views Data Mining» more  SDM 2010»
15 years 5 months ago
Convex Principal Feature Selection
A popular approach for dimensionality reduction and data analysis is principal component analysis (PCA). A limiting factor with PCA is that it does not inform us on which of the o...
Mahdokht Masaeli, Yan Yan, Ying Cui, Glenn Fung, J...