1. Data Mining: Concepts and Techniques Course Outline
November 9, 2018
Data Mining: Concepts and Techniques

2. Data Mining: Concepts and Techniques
Instructor
Instructors:
Nan Wang
Office: TEC 232
Phone: (601)
Homepage:
is the best way to reach me!
November 9, 2018
Data Mining: Concepts and Techniques

3. Course Home Page Course URL www.cs.usm.edu/~nwang/teaching/datamining
Office hours
10:45PM – 11:45PM Monday - Thursday
Or by appointment
Course announcements
Available online or in classroom
About lecture notes
Usually available on the course homepage

4. Textbook
Textbook
Data Mining: Concepts and Techniques, 3rd ed.
Morgan Kaufmann Publishers, March 2011.
By Jiawei Han; Micheline Kamber
Reference books:

5. Course Description
Covers the concepts and principles of data mining techniques.
1. Association Rule Mining, Frequent Patterns mining etc.
2. Classification and Prediction:
Decision Tree
Bayesian
Neural Network
Support Vector Machine
Etc.
3. Clustering
Outlier Analysis
Model-based and Density-based cluster Analysis etc.

6. Course Arrangements Class presentation (individual work) 10%
Assignments 30%
Take home exams 20%
Research project and term paper 40%
Course grading scale:
90% - 100% A
80% - 89% B
70% - 79% C
60% - 69% D
0% - 59% F

7. Data Mining: Concepts and Techniques
Data Analysis
November 9, 2018
Data Mining: Concepts and Techniques

8. What is Data? An attribute is a property or
characteristic of an object
Examples: eye color of a
person, temperature, etc.
Attribute is also known as variable,
field, characteristic, or feature
A collection of attributes describe an object
Object is also known as record, point, case, sample,
entity, instance, or observation
Attributes
Objects

9. Knowledge Discovery (KDD) Process
Data mining—core of knowledge discovery process
Pattern Evaluation
Data Mining
Task-relevant Data
Selection
Data Warehouse
Data Cleaning
Data Integration
Databases
November 9, 2018
Data Mining: Concepts and Techniques

10. Data Mining: Concepts and Techniques
Data Mining Process
Data preprocessing
Deal with missing value
Reduce noise
Etc.
Feature selection (if necessary)
Data Mining
Pattern evaluation
November 9, 2018
Data Mining: Concepts and Techniques

11. Architecture: Typical Data Mining System
data cleaning, integration, and selection
Database or Data Warehouse Server
Data Mining Engine
Pattern Evaluation
Graphical User Interface
Knowledge-Base
Database
Data
Warehouse
World-Wide
Web
Other Info
Repositories
November 9, 2018
Data Mining: Concepts and Techniques

12. Data Mining and Business Intelligence
Increasing potential
to support
business decisions
End User
Decision Making
Data Presentation
Business
Analyst
Visualization Techniques
Data Mining
Data
Analyst
Information Discovery
Data Exploration
Statistical Summary, Querying, and Reporting
Data Preprocessing/Integration, Data Warehouses
DBA
Data Sources
Paper, Files, Web documents, Scientific experiments, Database Systems
November 9, 2018
Data Mining: Concepts and Techniques

13. Data Mining: Confluence of Multiple Disciplines
Database
Technology
Statistics
Machine
Learning
Pattern
Recognition
Algorithm
Other
Disciplines
Visualization
November 9, 2018
Data Mining: Concepts and Techniques

14. Frequent Pattern Mining
November 9, 2018
Data Mining: Concepts and Techniques

15. Data Mining: Concepts and Techniques
Classification
November 9, 2018
Data Mining: Concepts and Techniques

16. Data Mining: Concepts and Techniques
Decision Tree
November 9, 2018
Data Mining: Concepts and Techniques

17. Data Mining: Concepts and Techniques
Decision Tree
November 9, 2018
Data Mining: Concepts and Techniques

18. Bayesian Classification
November 9, 2018
Data Mining: Concepts and Techniques

19. Data Mining: Concepts and Techniques
Nerual Network
November 9, 2018
Data Mining: Concepts and Techniques

20. Data Mining: Concepts and Techniques
Cluster Analysis
November 9, 2018
Data Mining: Concepts and Techniques

21. Data Mining: Concepts and Techniques
November 9, 2018
Data Mining: Concepts and Techniques

22. Data Mining: Concepts and Techniques
Toolbox
November 9, 2018
Data Mining: Concepts and Techniques

23. Data Mining: Concepts and Techniques
November 9, 2018
Data Mining: Concepts and Techniques

24. Todo list before next class
Install Weka in your laptop
Read tutorials provided by Weka
Start to consider your project topic (You can choose the topic which is related to your research)
November 9, 2018
Data Mining: Concepts and Techniques