Datamining

Lecturer: Dr. Anto Satriyo Nugroho, M.Eng
Email: asnugroho AT gmail.com
References:

Pang Ning Tan, Michael Steinbach, Vipin Kumar, Introduction to Data Mining, Addison Wesley, 2006
Ian H. Witten, Eibe Frank, Data Mining: Practical Machine Learning Tools and Techniques (Second Edition), Morgan Kaufmann, June 2005

Notes:

Basically I used the lecture slides from the authors' site
Weka software is available from Weka's site

No. Date Topic Supplemental Materials

1 10 Sep. 2009 Chapter 1: Introduction
___1.1 What is datamining ?
___1.2 Motivating Challenges
___1.3 The Origins of Data Mining -

2 1 Oct. 2009 Chapter 2: Data
___2.1 Types of Data
___2.2 Data Quality -

3 10 Oct. 2009 Chapter 2: Data
___2.3 Data Preprocessing
___2.4 Measures of Similarity and Dissimilarity
-

4 10 Oct. 2009 WEKA Tutorial
-

5 22 Oct. 2009 Chapter 3: Classification
___4.3 Decision Tree Induction
___4.5 Evaluating the Performance of a Classifier
-

No.	Date	Topic	Supplemental Materials
1	10 Sep. 2009	Chapter 1: Introduction ___1.1 What is datamining ? ___1.2 Motivating Challenges ___1.3 The Origins of Data Mining	-
2	1 Oct. 2009	Chapter 2: Data ___2.1 Types of Data ___2.2 Data Quality	-
3	10 Oct. 2009	Chapter 2: Data ___2.3 Data Preprocessing ___2.4 Measures of Similarity and Dissimilarity	-
4	10 Oct. 2009	WEKA Tutorial	-
5	22 Oct. 2009	Chapter 3: Classification ___4.3 Decision Tree Induction ___4.5 Evaluating the Performance of a Classifier	-