Download METU Department of Computer Engineering CENG

METU
Department of Computer Engineering
CENG 514 Data Mining
2012­2013 Fall
Instructor Lecture Hours References Course Description Outline Grading Pınar KARAGÖZ Office:A404 Tel: 210 5518 email: [email protected] Saturday 9.30 – 12.30 • Data Mining: Concepts and Techniques, Jiawei Han and Micheline Kamber, Morgan Kaufmann Publishers, ISBN 1-­‐55860-­‐489-­‐8 • Data Mining Introductory and Advanced Topics M. Dunham, Prentice Hall • Data Mining Practical Machine Learning Tools and Techniques Witten & Frank, Morgan Kaufmann • Introduction to Data Mining, Pang-­‐Ning Tan, Michael Steinbach, Vipin Kumar, 2006, 0-­‐321-­‐32136-­‐7 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, multi-­‐relational data mining are the basic concepts covered in this course. • 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 Midterm % 35 Assignments % 25 Survey % 15 Term Project % 25 Week
Week 1
Sept. 29, 2012
Week 2
Oct. 6, 2012
Week 3
Oct. 13, 2012
Week 4
Oct. 20, 2011
Week 5
Oct. 27, 2012
Week 6
Nov. 3, 2012
Week 7
Nov. 10, 2012
Week 8
Nov. 17, 2012
Week 9
Nov. 24, 2012
Week 10
Dec. 1, 2011
Week 11
Dec. 8, 2012
Week 12
Dec. 15, 2012
Week 13
Dec. 22, 2012
Week 14
Dec. 29, 2012
Week 15
Jan. 5, 2012
Final Exams
Jan. 7, 2013
Final Exams
Jan. 14, 2013
Topic
Notes
Introduction
Data Preprocessing
Datawarehouses, OLAP
Association Rule Mining
Assignment I
Holiday (Kurban Bayramı)
Association Rule Mining
Assignment II
Classification
Classification, Clustering
Assignment III
Clustering
Advanced Topics - Web
Mining
Advanced Topics - Web
Mining
Assignment IV
Advanced Topics Recommender Systems
Advanced Topics Recommender Systems
Student Presentations
Midterm
Survey Reports Due
Student Presentations
Project Report and Demo