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Data Mining Classification: Basic Concepts, Lecture Notes for Chapter 4 - 5 Introduction to Data Mining by Tan, Steinbach, Kumar.
AMCS/CS 340: Data Mining Classification I: Decision Tree Xiangliang Zhang King Abdullah University of Science and Technology.
© Tan,Steinbach, Kumar Introduction to Data Mining 4/18/2004 1 Classification: Definition l Given a collection of records (training set) l Find a model.
Data Mining Classification This lecture node is modified based on Lecture Notes for Chapter 4/5 of Introduction to Data Mining by Tan, Steinbach, Kumar,
1 Data Mining Classification Techniques: Decision Trees (BUSINESS INTELLIGENCE) Slides prepared by Elizabeth Anglo, DISCS ADMU.
Classification: Decision Trees, and Naïve Bayes etc. March 17, 2010 Adapted from Chapters 4 and 5 of the book Introduction to Data Mining by Tan, Steinbach,
Data Mining Classification: Naïve Bayes Classifier Lecture Notes for Chapter 4 &5 Introduction to Data Mining by Tan, Steinbach, Kumar © Tan,Steinbach,
1 BUS 297D: Data Mining Professor David Mease Lecture 5 Agenda: 1) Go over midterm exam solutions 2) Assign HW #3 (Due Thurs 10/1) 3) Lecture over Chapter.
CISC 4631 Data Mining Lecture 04: Decision Trees Theses slides are based on the slides by Tan, Steinbach and Kumar (textbook authors) Eamonn Koegh (UC.
