Ankur Agrawal

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Syllabus Fall 2014
Book: Data Mining: Concepts and Techniques, Third Edition By Jiawei Han, Micheline Kamber, Jian Pei
Office Hours: WR 3:00pm - 4:00pm or by appointment in RLC 203C
Class Hours: MWR 5:30pm - 6:20pm in RLC 102
Week of Nov 17
Outlier Detection - Chapter 12 slides
Clustering - Chapter 10 slides
Week of Nov 10
Classification - Chapter 8 slides
Week of Nov 3
Mining frequent patterns using vertical data format
Correlation measure - lift
Week of Oct. 27
Apriori algorithm
FP Growth algorithm
Week of Oct. 20
Presentations contd...
Final project discussion
Mining frequent patterns, associations and correlations
Chapter 6 slides
Week of Oct. 13
Presentations
Week of Oct. 6
Presentations
Mid Term on Oct 9th
Week of Sept. 29
Regression, Practice Exercises, Presentations
Week of Sept. 22
Data Preprocessing Contd...
Assignment 2 - Implementing the cosine similarity, due Oct. 15
Week of Sept. 15
Data Preprocessing
Chapter 3 slides
Week of Sept. 8
Getting to know your data contd...
Week of Sept. 1
Getting to know your data
Chapter 2 slides
Week of Aug 25
Introduction to Data Mining
Chapter 1 slides