Data Mining

Course: SDEV 3304

Instructor: Dr. Alaa El-Halees,  Ext. 2953

Email: alhalees@ iugaza.edu.ps

Course Time:   Male:   TN 9:30:00 – 11:00  Room: I 616

Female:   TN  12:30 – 2:00  Room: I 102

Course Objectives: To teach the fundamental concepts of data mining and to provide extensive   hands on experience in applying the concepts to real-world applications.

 

Books Data Mining The Textbook . Charu C. Aggarwal (2015)

 

 1) Social Big Data Mining, Hiroshi Ishikawa

2) Data Mining – Practical Machine Learning Tools and Techniques

3) Data Mining- Concepts, Models, Methods, and Algorithms.

4) Data mining cookbook

5) Data Mining with SQL Server

6)  Discovering Knowledge in Data: An Introduction to Data Mining

7) The Handbook of Data Mining

 

Syllabus

1)  Introduction to data mining                  

2) Data preparation and processing

3) Mining Association Rules

4) Classifications

5) Clustering

6) Outlier Analysis

7) Evaluation

8) Knowledge Presentation

9) Text Mining

 

Grades:

Mid term Exam: 20%

Project ( 3 parts) : 25%

Quizzes: 15%

Final Exam: 40%

Important Notes:

According to university regulation absence of more than 25% of lectures will not allow entering the final exam.