Cleveland State University
Department of Electrical Engineering and Computer Science
EEC 525 Data Mining
Catalog Data: EEC 525 Data Mining (4 credits)
Prerequisites: graduate standing
This course introduces basic concepts, tasks, methods, and techniques in data mining.
The emphasis is on various data mining problems and their solutions. Students will
develop an understanding of the data mining process and issues, learn various
techniques for data mining, and apply the techniques in solving data mining problems
using data mining tools and systems. Students will also be exposed to a sample of
data mining applications.
Textbook:
Han, J. and Kamber, M., Data Mining: Concepts and Techniques, 3rd Edition,
Morgan Kaufmann, 2011.
References:
Related papers from various conferences and journals will be provided by the
instructor.
Instructor:
Yongjian Fu
Office: FH 432
Phone: 216-687-5518
Email : y.fu@csuohio.edu
Grading:
Quiz:
Homework:
Project:
Midterm:
Final:
10%.
20%.
30%.
20%.
20%.
90%-100%
A
87%-89%
A83%-86%
B+
80%-82%
B
76%-79%
B60%-75%
C
0%-59%
F
There are 4 homework assignments.
A group project, which applies the concepts and ideas learned in the class, is required.
Details of the project will be given later.
A few quizzes will be given randomly. Missed quiz will not be made up.
Course Outline:
Class Date
8/26
8/28
9/2
9/4
9/9
9/16
9/18
9/23-9/25
Topic
Introduction
Data exploration
Data preprocessing
Classification
Decision trees
Naive Bayesian
Backpropagation
Other classifiers
Readings
Ch. 1
Ch. 2
Ch. 3
Ch. 8.1
Ch. 8.2
Ch. 8.3
Ch. 9.2
Ch. 8.6,9.5
9/30
10/2
10/7
10/9
10/14
10/16
10/21
10/23
10/28
10/30
11/4
11/6
11/13
11/18
11/20
11/25
12/2-12/4
12/11
Model evaluation
Reviews
Midterm
Clustering
Partitioning
Hierarchical clustering
Density-based methods
Evaluating clusters
Association rule mining
Apriori
Rule generation
FP-growth
Pattern evaluation
Future of data mining
Review
Final Exam
Project presentation and demonstration
Project presentation and demonstration
Ch. 8.5
Ch. 10.1
Ch. 10.2
Ch. 10.3
Ch. 10.4
Ch. 10.6
Ch. 6.1
Ch. 6.2.1
Ch. 6.2.2
Ch. 6.2.4
Ch. 6.3
Ch. 13
Course Policies:
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Attendance to all classes is required. Each student is responsible for his/her missed
classes.
No makeup of homework or quiz will be given.
A student who misses two submissions must see the instructor immediately with an
explanation.
Homework is due in class on the specified date. Late homework will receive the
penalty of 10% per day up to two calendar days. No homework will be
accepted twocalendar days after the due date. Talk to instructor for special cases, such
as illness. Proper documents, such as a doctor's note, may be required as a proof.
Discussions on homework are allowed, but all homework must be independent work.
Any forms of cheating may cause penalties, from getting an F in the course to
academic actions according to the department guidelines and university
regulations.The ethics policy of the Electrical and Computer Engineering Department
can be found at http://www.csuohio.edu/engineering/ece/docs/Ethics%20Policy.doc.