1. Integrating Bayesian Networks and Simpson’s Paradox in Data Mining Alex Freitas University of Kent Ken McGarry University of Sunderland 2. Outline of the Talk Introduction…
1. Data Mining Dr. Mohsen Kahani Email:[email_address] http:// www.um.ac.ir/~kahani / 2. Overview Introduction Data Mining Functions and Models Data Mining Methodologies…
1.Recommended References • This lecture assumes some knowledge on learning systems. We recommend:– P. Langley: Elements of Machine Learning. Morgan Kaufman 1996.– T.M.…
1.Published in Geographic Data Mining and Knowledge Discovery, Research Monographs in GIS, Taylor and Francis, 2001. Algorithms and Applications for Spatial Data MiningMartin…
Slide 1 Integrating Bayesian Networks and Simpson’s Paradox in Data Mining Alex Freitas University of Kent Ken McGarry University of Sunderland Slide 2 2 Outline of the…
Slide 1 Are We Really Discovering “Interesting” Knowledge from Data? Alex A. Freitas University of Kent, UK Slide 2 Outline of the Talk Introduction to Knowledge Discovery…
Slide 1 Chapter 13 Data Mining Slide 2 - 2 - (c) 2000 Dr. Ralph Bergmann and Prof. Dr. Michael M. Richter, Universität Kaiserslautern Recommended References This lecture…
Slide 1 Ch. Eick: Introduction Data Mining and Course Information 1 Introduction --- Part2 1. Another Introduction to Data Mining 2. Course Information Slide 2 Ch. Eick:…
Slide 1 1 Data Mining Applications Overview Elena Irina Neaga Forac Research Consortium Laval University Québec City, Canada E-mail: [email protected] Forac…