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METU Department of Computer Engineering CENG 514 Data Mining Spring 2011­2012 Spring
Instructor: Pınar ŞENKUL Office:A404 Tel: 210 5518
email: [email protected]
Lecture Hours: References:
Course Description:
Monday 13.40, 14.40, 15.40 (BMB5)
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Data Mining: Concepts and Techniques, Jiawei Han and Micheline Kamber,
Morgan Kaufmann Publishers ISBN 1­55860­489­8 •
Data Mining Introductory and Advanced Topics
M. Dunham, Prentice Hall
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Data Mining Practical Machine Learning Tools and Techniques Witten & Frank, Morgan Kaufmann •
Introduction to Data Mining, Pang­Ning Tan, Michael Steinbach, Vipin Kumar, 2006, 0­321­32136­7
This course introduces data mining and data warehousing concepts. Data warehousing, OLAP technology, data preparation, association rule mining, classification and prediction, clustering, mining complex types of data, web mining, multi­relational data mining are the basic concepts covered in this course. Outline: •
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Introduction to data mining and data warehousing Data warehousing and OLAP technology Data preprocessing Association rule mining Classification and prediction Clustering A potpourri of advanced topics Student Presentations Grading :
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Midterm % 20 Assignments % 18 Term Paper % 20
Term Project % 27 • Final Exam % 15
Week
Topic
Notes
Feb 20, 2012
Introduction
Feb 27, 2012
Introduction, Data Preprocessing
March 5, 2012
Datawarehouses, OLAP
March 12, 2012
Association Rule Mining
Assignment I
March 19, 2012
Association Rule Mining
Assignment I, due / Term Paper Lists
March 26, 2012
Classification
Term Paper List selection due
April 2, 2012
Classification, Clustering
April 9, 2012
Clustering
Assignment II, Project Proposal due
April 16, 2012
Advanced Topics ­ Web Mining
Midterm
April 23, 2012
Holiday
April 30, 2012
Advanced Topics ­ Web Mining
Assignment II, due
May 7, 2012
Advanced Topics ­ Recommender Systems
Assignment III
May 14, 2012
Student Presentations
Term paper review report due
May 21, 2012
Student Presentations
Assignment III, due
May 28 ­ June 4 2012
Final Exam, Project Presentations
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