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AI
2001
Springer
14 years 2 months ago
Learning Bayesian Belief Network Classifiers: Algorithms and System
Abstract. This paper investigates the methods for learning predictive classifiers based on Bayesian belief networks (BN) – primarily unrestricted Bayesian networks and Bayesian m...
Jie Cheng, Russell Greiner
COMAD
2009
13 years 11 months ago
CRM Analytics Framework
Implementing a CRM Analytics solution for a business involves many steps including data extraction, populating the extracted data into a warehouse, and running an appropriate mini...
Joseph P. Bigus, Upendra Chitnis, Prasad M. Deshpa...
ML
2006
ACM
105views Machine Learning» more  ML 2006»
13 years 10 months ago
Propositionalization-based relational subgroup discovery with RSD
Abstract Relational rule learning algorithms are typically designed to construct classification and prediction rules. However, relational rule learning can be adapted also to subgr...
Filip Zelezný, Nada Lavrac
IFIP12
2009
13 years 7 months ago
Quality Classifiers for Open Source Software Repositories
Open Source Software (OSS) often relies on large repositories, like SourceForge, for initial incubation. The OSS repositories offer a large variety of meta-data providing interesti...
George Tsatsaronis, Maria Halkidi, Emmanouel A. Gi...
KDD
2005
ACM
168views Data Mining» more  KDD 2005»
14 years 10 months ago
Nomograms for visualizing support vector machines
We propose a simple yet potentially very effective way of visualizing trained support vector machines. Nomograms are an established model visualization technique that can graphica...
Aleks Jakulin, Martin Mozina, Janez Demsar, Ivan B...