Integrating Bayesian networks and Simpson's paradox in data ...
Tutorial on High Performance Data Mining
13. Data Mining
Algorithms and Applications for Spatial Data Mining
Chapter 13 Data Mining - 2 -
Integrating Bayesian Networks and Simpson’s Paradox in Data Mining Alex Freitas University of Kent Ken McGarry University of Sunderland.
Are We Really Discovering “Interesting” Knowledge from Data? Alex A. Freitas University of Kent, UK.
Chapter 13 Data Mining. - 2 - (c) 2000 Dr. Ralph Bergmann and Prof. Dr. Michael M. Richter, Universität Kaiserslautern Recommended References This lecture.
1 Data Mining Applications Overview Elena Irina Neaga Forac Research Consortium Laval University Québec City, Canada E-mail: [email protected].
Tang: Introduction to Data Mining (with modification by Ch. Eick) I: Introduction to Data Mining A.Short Preview 1.Initial Definition of Data Mining 2.Motivation.
The Application of Data Mining Methods In Monitoring of Ecosystems Jiri BILA and Jakub JURA [email protected] [email protected] Department of Instrumentation.
The Application o f Data Mining Methods In Monitoring o f Ecosystems
