1. مستودعات البيانات و التنقيب عنها
Data Warehousing
and
Data Mining
IS-427
مستودعات البيانات و التنقيب عنها
نال 427

2. الاستاذه / حنان آل شاهر
قسم نظم المعلومات
كلية علوم الحاسب والمعلومات
جامعة الاميرة نورة بنت عبد الرحمن
ايميل :

3. The principal book(s) requested:
"DATA WAREHOUSING FUNDAMENTALS:
A COMPREHENSIVE GUIDE FOR IT PROFESSIONALS", by Paulraj Ponniah.
MODERN DATA WAREHOUSING, MINING, AND VISUALIZATION: CORE CONCEPTS", by George M. Marakas.
"INTRODUCTION TO DATA MINING", by Pang-Ning Tan, Michael Steinbach, and Vipin Kumar.
"DATA MINING: CONCEPTS AND TECHNIQUES", The Morgan Kaufmann Series in Data Management Systems, by Jiawei Han, and Micheline Kamber.
"DECISION SUPPORT SYSTEMS AND MEGAPUTER", by George M. Marak.
"MANAGERIAL ISSUES OF ENTERPRISE RESOURCE PLANNING SYSTEMS", by David L. Olson and David Olson.
"DATA AND TEXT MINING: A BUSINESS APPLICATIONS APPROACH", by Thomas W. Miller.

4. Topics to be discussed (theoretical content):
Introduction to the course content, textbook(s), references and course plan.
Definition of knowledge discovery and data mining.
Fundamentals of developing and using a data warehouse, developing requirements, and designing models.
Creating a dimensional model, generating population and maintenance plans for a warehouse.
Manipulating the data in the warehouse for update, maintenance and data extraction.
The use knowledge discovery in data warehouses.
Data mining algorithms and methods including association analysis, classification, cluster analysis.
New emerging applications and trends in data mining.

5. Brief description of basic learning outcomes:
Students who successfully complete this course will be able to:
Recognize the fundamentals of data warehousing.
Manipulate the data warehousing.
Recognize the basics of data mining.
Use the knowledge discovery in data warehousing.
Conduct different methods and algorithms of data mining.
Discover knowledge in different applications.

6. Schedule of Assessment Tasks according to which the students are evaluated during the Semester
Assessment weight (%)
Due week
The nature of the evaluation function
index
20%
Week 7
First exam 1
Week 12
Second exam 2
During the semester
Theoretical assignments 3
50%
After Week 15
Final exam(Theoretical) 4
100%
Total: