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ICDM
2002
IEEE
143views Data Mining» more  ICDM 2002»
14 years 23 days ago
A Hybrid Approach to Discover Bayesian Networks From Databases Using Evolutionary Programming
This paper describes a novel data mining approach that employs evolutionary programming to discover knowledge represented in Bayesian networks. There are two different approaches ...
Man Leung Wong, Shing Yan Lee, Kwong-Sak Leung
DGO
2007
97views Education» more  DGO 2007»
13 years 9 months ago
Interactive exploration and discovery of e-government services
Government e-services available to citizens represent one of the most frequent and critical points of contact between public administrations and citizens. In addition to common se...
Giovanni Maria Sacco
PKDD
2007
Springer
102views Data Mining» more  PKDD 2007»
14 years 1 months ago
Towards Data Mining Without Information on Knowledge Structure
Most knowledge discovery processes are biased since some part of the knowledge structure must be given before extraction. We propose a framework that avoids this bias by supporting...
Alexandre Vautier, Marie-Odile Cordier, Rene Quini...
BMCBI
2011
13 years 2 months ago
Learning genetic epistasis using Bayesian network scoring criteria
Background: Gene-gene epistatic interactions likely play an important role in the genetic basis of many common diseases. Recently, machine-learning and data mining methods have be...
Xia Jiang, Richard E. Neapolitan, M. Michael Barma...
UM
2007
Springer
14 years 1 months ago
The Effect of Model Granularity on Student Performance Prediction Using Bayesian Networks
A standing question in the field of Intelligent Tutoring Systems and User Modeling in general is what is the appropriate level of model granularity (how many skills to model) and h...
Zachary A. Pardos, Neil T. Heffernan, Brigham Ande...