Download Data Mining

University: university of ITC
‫ﺑﺴﻢ ﷲ اﻟﺮﺣﻤﻦ اﻟﺮﺣﯿﻢ‬
Republic of Iraq
College: Informatics
Postgraduate Studies
The Ministry Of Higher Education
Institute
For
Department: Website Technology
& Scientific Research
Stage: High Diploma
Lecturer name: Dr. Safaa O. Al-Mamory
Qualification: Assistant Prof.
Place of work:
Flow up of implementation syllabus plan
Course Instructor
Dr. Safaa O. Al-Mamory
E-mail
Email: [email protected]
Title
Data Mining
Course Coordinator
Assist.Lec. Muna Yousif
Course Objective
Type here course objectives
Course Description
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 and issues, learn
various techniques for Data Mining, and apply the techniques in solving Data
Mining problems using tools and systems. Students will also be exposed to a
sample of Data Mining applications.
Textbook
Course Assessments
General Notes
1- “Introduction to data mining,”,Pang-Ning Tan, Michael Steinbach,
Vipin Kumar, 2006.
2- “Data Mining: Concepts and Techniques,”,Jiawei Han, Micheline
Kamber, Second Edition, Elsevier Inc., 2006.
3- “Algorithms for Clustering Data,”, Anil K. Jain, Richard C. Dubes,
Prentice-Hall Inc., 1988.
4- “Principles of Data Mining,”,David Hand, Heikki Mannila, Padhraic
Smyth, The MIT Press, 2001.
5- “Data Mining, Practical Machine Learning Tools and Techniques,”, Ian
H. Witten, Eibe Frank, Morgan Kaufmann Publishers, 2005.
6- “Discovery Knowledge in Data, An Introduction to Data Mining,”,
Daniel T. Larose, A John Wiley & Sons, Inc., Publication, 2005.
7- Further Readings are also preferable.
Term Tests
As(10%)
Laboratory
As(10%)
Quizzes
As(10%)
Project
-
Final Exam
As(70%)
Type here general notes regarding the course
University: university of ITC
College:
Republic of Iraq
Informatics
Institute
For
Postgraduate Studies
The Ministry Of Higher Education
Department: Website Technology
& Scientific Research
Stage: High Diploma
Lecturer name: Dr. Safaa O. Al-Mamory
Qualification: Assistant Prof.
Place of work:
Course Weekly Outline
Week
Date
Topes Covered
Lab. Experiment
Assignments
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
Half – year break
17
18
19
20
21
22
17/2/2015
24/2/2015
3/3/2015
10/3/2015
17/3/2015
24/3/2015
23
24
25
31/3/2015
7/4/2015
14/4/2015
26
21/4/2015
27
28/4/2015
28
29
30
12/5/2015
19/5/2015
26/5/2015
31
INSTRUCTOR Signature:
Introduction
Data
Data Preprocessing I
Data Preprocessing II
Data Visualization
Classification I: Basic Concepts, Decision
Trees, and Model Evaluation
Classification II : Alternative Techniques
Clustering: Basic concepts
Clustering Algorithms I: Sequential
algorithms, Hierarchical algorithms
Mining Frequent Patterns, Associations,
and Correlations I
Mining Frequent Patterns, Associations,
and Correlations II
Graph Mining II
Advance Topics
First Exam
Final Exam
Dean Signature:
Notes