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» Hybrid Learning Scheme for Data Mining Applications
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ESANN
2004
13 years 9 months ago
Data Mining Techniques on the Evaluation of Wireless Churn
This work focuses on one of the most critical issues to plague the wireless telecommunications industry today: the loss of a valuable subscriber to a competitor, also defined as ch...
Jorge Ferreira, Marley B. R. Vellasco, Marco Aur&e...
GFKL
2007
Springer
158views Data Mining» more  GFKL 2007»
13 years 11 months ago
Investigating Classifier Learning Behavior with Experiment Databases
Experimental assessment of the performance of classification algorithms is an important aspect of their development and application on real-world problems. To facilitate this analy...
Joaquin Vanschoren, Hendrik Blockeel
ICCS
2007
Springer
14 years 1 months ago
Learning Common Outcomes of Communicative Actions Represented by Labeled Graphs
We build a generic methodology based on learning and reasoning to detect specific attitudes of human agents and patterns of their interactions. Human attitudes are determined in te...
Boris Galitsky, Boris Kovalerchuk, Sergei O. Kuzne...
DASFAA
2007
IEEE
187views Database» more  DASFAA 2007»
14 years 2 months ago
OntoDB: An Ontology-Based Database for Data Intensive Applications
Recently, several approaches and systems were proposed to store in the same database data and the ontologies describing their meanings. We call these databases, ontology-based data...
Dehainsala Hondjack, Guy Pierra, Ladjel Bellatrech...
KDD
2008
ACM
110views Data Mining» more  KDD 2008»
14 years 8 months ago
Mining preferences from superior and inferior examples
Mining user preferences plays a critical role in many important applications such as customer relationship management (CRM), product and service recommendation, and marketing camp...
Bin Jiang, Jian Pei, Xuemin Lin, David W. Cheung, ...