COMP 8390 (60-539-01 ) WINTER 2025
Announcements.
PLEASE, CHECK THIS PAGE FOR
COURSE INFORMATION AND EVENTS. Just scroll down to read from recent to old
announcements.
Course Web Page can be accessed through: https://brightspace.uwindsor.ca/d2l/login
Or https://cezeife.myweb.cs.uwindsor.ca/courses/60-539/539index.htm
Classes: Mon : 2:30 – 5:20pm in Room : ER Room for Comp 8390
To attend class, Log on to Brightspace https://brightspace.uwindsor.ca/d2l/login. Then, click on Virtual classroom, and
join Comp 8390 Class session for the day.
Office hours: Mons. 11:00am – 11:50am; Tues. 3:00pm – 3:50pm,
will be held in my CS office.
Get the
course information through the link Course information Volume 1.
Get more
course information through the link More
course information Volume 2
Posted Friday, January 3, 2025.
Hello Winter 2025 Comp 8390 Students,
Welcome and see you in class
coming Monday, Jan. 6, 2025 at 2:30pm in the ER classroom specified in
Brightspace.
Classes: Mon : 2:30 – 5:20pm in ER classroom.
Office hours: Mons. 11:00 – 11:50am; Tues. 3:00pm – 3:50pm,
If it becomes necessary to move
any class online, to attend any possible online class, Log on to Brightspace
LMS (learning management system). https://brightspace.uwindsor.ca/d2l/login.
Then, click on Virtual
classroom, and join Comp 8390 Class session for the day.
Course Web Page can be accessed through: https://brightspace.uwindsor.ca/d2l/login
Or https://cezeife.myweb.cs.uwindsor.ca/courses/60-539/539index.htm
Get the course information
through the link Course information Volume 1.
Get more course information
through the link More course information Volume 2
RECOMMENDED Materials:
C.I Ezeife, Course
Notes for Comp 8390, Non-Traditional Database Systems: Data Warehousing and
Mining, University of Windsor, Winter 2025.
Course
notes can be downloaded from the notes page of this site.
Reference Materials:
1. Jiawei Han, Jian Pei, and Hanghang Tong. Data
Mining - Concepts and Techniques, published by Morgan Kaufmann/Elsevier,
2022, Fourth Edition, isbn: ISBN 9780128117606). Cost: Amazon: $107.17; Elsevier: $96.84; Indigo: $133.50;
VitalSource: Etext: $79.00 **** Most comprehensive and useful to read for warehousing and mining.
2. Wilfried Lemahieu, Seppe Vanden Broucke, Bart
Baesens. Principles of Database Management: The Practical Guide to Storing,
Managing and Analyzing Big and Small Data, Cambridge University Press, 2018.
isbn: 978-1-107-18612-5. *** New book in the bookstore and useful for
the traditional database reviews and NOSQL databases.
3. Raghu Ramakrishnan/ Johannes Gehrke, Database
Management Systems, third edition, WCB/McGraw-Hill, 2003, isbn:
0-07-246563-8. ** Any other undergrad
DB book ok too, for Database overview.
4. Margaret H. Dunham, Data Mining - Introductory
and Advanced Topics, published by Pearson Education, 2003. isbn
1-13-088892-3. (available in the library)
Research papers in Data Warehousing and Mining from
a variety of journals and conference proceedings including:
C.I. Ezeife and Yi Lu, “Mining Web Log sequential Patterns with Position Coded
Pre-Order Linked WAP-tree”, the
International Journal of Data Mining and Knowledge Discovery (DMKD),
Vol. 10, No. -, pp. 5-38, Kluwer Academic Publishers, June 2005.