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 Wednesday, March 5,
2025
Comp 8390 Midterm Test results have been posted through the web marks link:
https://cezeife.myweb.cs.uwindsor.ca/courses/60-539/marks/index.htm.
Great performance in Comp 8390
midterm test by half of the the class (Well done to these students!!). However,
the lower 50% of the class who got less than 70% but more than 50% may need to review what they
need to do in the rest of the class to ensure they do not get a total course
mark of less than 70% or they may consider dropping the course. If you receive
less than 50% in the course, I encourage you to drop in during my office hour
to discuss.
Some of the major problems I found
while marking is lack of understanding of the data warehouse design that I had
stressed a lot in class and given several examples of. Many students were integrating two different source
databases that are computing different things into a data warehouse. For example, they have one source database about
Project and the second source database is about Inventory. It is like integrating apples and oranges, where
a simple data warehouse query to give the total number of apples in the two
source databases will be wrong because there are no apples in the second source
database. Why then do you have a data
warehouse? The other problem is many
students did not understand the main aim of the the data warehouse that must
include integration, historical and in particular aggregate attribute and all
their data warehouse queries are really not queries on the aggregate attribute
but queries like ‘give me the total number of customers in the database’. This is not really a data warehouse query as
the total number of customers in the data warehouse will be the same as the
total number of customers in the two source databases or in the case of apples
and oranges kind of source databases, the total of the one source database
containing customers. There are a lot of issues also with even Apriori and
Fp-tree mining. It is disappointing to
find some students not attempting a lot of questions. Some of the problem is
that many of the students missed some classes and never attempted to visit my
office hours.
The marks are now posted on the
web through my web page marks link, below, which you can also access through your
brightspace marks link. I will bring the test papers to class for you to
review, but you need to hand them back to me after reviewing the same day in
class.
https://cezeife.myweb.cs.uwindsor.ca/courses/60-539/marks/index.htm
Note that the voluntary withdrawal
date is Sunday, March 16, 2025 in case you think you cannot do well in this
class.
Summary of class performance is given below.
|
Section Comp-8390 Midter
Test Result Summary: |
|
Average Mark:
60.3% Highest Mark:
96% (obtained by 1 student) Lowest
Mark: 07% Number of students
who wrote the test: 14 Number who
got 100%:
0 ( Excellent !!!!!) Number with 90 <= mark < 100: 2
(Excellent !!!!!) Number
with 50 <= mark < 80: 6 Number with
mark < 50%: 5 (talk to me in my office hour)
|
Regarding Comp 8390 Research Seminar
Presentations
To ensure we are not wasting time
looking for how to connect your power point presentation starting this coming
Monday, March 10, 2025 in our classroom of ER 2125 at 2:30pm, I have created or
will create an assignment link for you to go and upload your power point presentation
(as a .pdf file) so you can present it from brightspace. Please, ensure you have uploaded your power point
presentation on that appropriate brightspace link before your presentation as
we will not go through switching computers, etc. We do not have any time as the sessions are full
booked with many presentations each day.
UPCOMING CLASS EVENTS
|
COURSE EVALUATION
|
Posted Saturday, January 11,
2025
Hello Comp 8390 Students,
Check the updated
seminar presentation schedule and course information sheet through the courses
web site on brightspace at: https://cezeife.myweb.cs.uwindsor.ca/courses/60-539/539index.htm.
Also, check other
course upcoming events below at the end of this announcement.
In particular, for
now, pick your research seminar paper and send to me through email with subject
like: Comp 8390 Seminar paper topic number.
In your email, indicate the paper topic number for your selected paper
as well as its title. You find the list
of papers to select from through the seminar link while the course information
is found through the announcement link.
The two links are given below:
https://cezeife.myweb.cs.uwindsor.ca/courses/60-539/seminar/semindex.htm
https://cezeife.myweb.cs.uwindsor.ca/courses/60-539/announce/crseinfo_v1.htm
Professor also has
office hours for this course on Mondays, 11:00am to 11:50am and Tuesdays, 3:00
to 3:50pm in her office in LT 5th floor. You can also pick your seminar and project
during her office hours.
Comp-8390 class test is to be written on Monday, March 3, 2025 in our class
room in ER. Student seminar presentations begin immediately the following
Monday, March 10, 2025. Each seminar presentation takes about 20 mins, and 5
mins for questions. Seminar grading is scheduled as posted in the seminar
schedule on the course web site also accessible through your brightspace.
Students in seminar grading group A will grade seminars for students in seminar
grading group B and vice versa. Ensure that you have given every student
grading your seminar a pdf as well as the Professor a copy of your seminar
paper by Feb. 3, 2025. I will try to create a link where you can post the pdf
copy of your paper with your name, your day of presentation and that seminar
paper #.
Seminar reports are
due on the day of presentation of the paper or latest the last day of seminar
presentations.
Note: seminars are
graded based on clarity(2), organization(2), quality (3), technical content(3).
Ensure that your paper is not less than 9 pages or you may need to present two
such short papers.
For seminar presentation, the
goal is to focus on making clear the following:
Students are expected to grade seminar based on clarity,
organization, quality of talk and technical content. Clarity judges
how you understand what the presenter is giving from the way they present
it(not based on your lack of concentration on what they are talking about).
Organization judges how cohesive (the flow or togetherness) of the material
taught (e.g., do they clearly tell you the topic, explain the purpose before
discussing the solutions and results or do they jump in and talk of results
when you do not even know what the topic is about. Efforts put into slide
presentations also come in here). Quality of talk judges the
correctness of the presentation from the paper presented (that is, how well
does the presenter understand materials in this paper or are they providing wrong
information?). Technical content judges level of difficulty of the
paper presented and efforts put in by the student. Some students
avoid actually trying to understand and explain thetechnical solution
(algorithms) presented in the paper, but rather spend too much time discussing
purpose and performance analysis.
UPCOMING
CLASS EVENTS
COURSE EVALUATION
|
Work |
Mark (out of 100%) |
|
Midterm exam (Mon, Mar. 3, 2025) |
25% (covers all lecture materials) |
|
Student seminar
(Mon, Mar. 10 to Mar. 24) |
15% (graded 25% by students in the class and 75% by me) |
|
Seminar attendance
and contributions |
10% |
|
One Seminar report (due by Mon. Mar. 24) |
20% |
|
Project presentation(Mon, Mar. 24 to Mar 31) |
10% (graded 25% by students in the class
and 75% by me) |
|
Project content demo and report (due Mon Apr 7) |
20% (includes project demo
scheduled for Mon., Apr. 7) |
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.