Announcements
Report deadline - November 19, 1999
I have received some complaints about the deadline for the
project reports and surveys December 3rd.
It is argued that a common deadline for the reports, while
demos and presentation are spread, is unfair.
I have revised the deadline as follows: I split the deadline
into three deadlines: December 3rd (previous firm
deadline), December 6th and December 8th (last
day of class), and I spead the deadline in reverse chronological order
of the demos or presentations.
The result is the following:
Report Deadline | Presentation Data | Project |
December 3rd | December 13th | Survey: Web Usage Mining |
December 3rd | December 10th | Survey: Web Usage Mining |
December 6th | December 8th | Demo: Awari Gane Database Mining |
December 6th | December 8th | Demo: Clustering phonemes, words and phrases |
December 6th | December 8th | Demo: Correlation of Drugs Used in Chronic Medical Conditions
in Alberta Senior Citizens |
December 6th | December 8th | Demo: Multi-level Association Rules |
December 6th | December 3rd | Survey: Content-Based Image Indexing and Retrieval |
December 6th | December 3rd | Demo: Content-Based Image Querying |
December 6th | December 6th | Survey: KDD from unstructured and semistructured Data |
December 8th | December 1st | Demo: Walking the Data Cube |
December 8th | December 1st | Demo: Virtual Web Viewer |
December 8th | December 1st | Demo: Classification Predictor |
December 8th | December 1st | Demo: Pattern Discovery in Web Logs |
December 8th | November 29th | Demo: Numerosity Reduction Tool |
December 8th | November 29th | Demo: Classification Algorithms |
December 8th | November 29th | Demo: Multi-level Association Rules |
December 8th | November 29th | Demo: Association Rule test bed |
Projects - November 15, 1999
The schedule for the project demos and the survey
presentations is on-line under "activities". Remember the due date for
the reports is December 3rd. Demos are 15 minutes while
survey presentations are 50 minutes.
Assignment 1 - November 12, 1999
The grades for assignment 1 are on-line. Check the
GradeBook. Members of a same group get the same grades.
Midterm - November 9, 1999
The midterm grades are on-line. Check the GradeBook. Bonus
points will be added later.
New chapters - October 27, 1999
Chapters 7 and 8 of the textbook about classification and
clustering are on line. Chapter 9 will not be on-line soon.
We have covered Web Mining in chapter 9, while the textboox's
chapter 9 will cover mining from complex data.
Due date for Assignment2 - October 25, 1999
Students have asked to change the deadline for the second
assignment. After general consensus,
the due date for Assignment 2 has
been changed to November 5th.
ASSIGNMENT 2 - October 19, 1999
Assignment 2 is on-line. The due
date is October 29th. Note that this assignment is NOT a
group work.
Workspaces - September 28, 1999
The entry "Class mates" in the main menu is now called "Workspaces".
This is to eliminate some confusion. The slides of the
student presentations are in the respective students' workspaces.
Mailing List - September 28, 1999
A mailing list for cmput690 (cmput690@cs.ualberta.ca) has been set up
for your convenience. There are 23 users registered in this
mailing list.
You can use this mailing list to communicate course related messages
(questions, comments, etc.)
ASSIGNMENT 1 - September 26, 1999
Assignment 1 is on-line. The due date is October 20th.
Postscript Textbook - September 20, 1999
The authors provided me with postscript versions of the
textbook chapters. I generated new pdf files and made the new pdf
files as well as the postscript files available. Hopefully,
you won't have problems printing anymore.
Student workspaces - September 20, 1999
In the class-mates page, you can now create a personal workspace.
In your workspace you can generate a page to describe
yourself and present interesting web resources. Soon, you will be able
to upload files to share, such as you presentation slides,
your reports, etc.
Slides for Chapter1 - September 15, 1999
The 62 slides for chapter1, Introduction to data mining, are
now on-line in pdf format as well as in a browsable HTML format. Check the
course material folders.
Class survey - September 12, 1999
The class survey was put on-line in the class mates page.
The page is protected. Since you do not have passwords yet,
access as a guest with ID=guest and password=guest.
Course Notes folders - September 11, 1999
The course notes page has a dynamic tree of folders. If you
open the top folder, you will discover a folder for each chapter in
the course. I just put in the folder for chapter 1 the course
notes as well as the slides used for the first class. Recommended
readings were also added in this folder.
Slides for Course Organization - September 11, 1999
The slides presented during the first class about grading,
schedule, projects etc. are on line on the home page
and in course content page.
Course Notes for Chapter 1 - September 10, 1999
The course notes for chapter 1 "Introduction to Data Mining"
are on line in HTML format as well as PDF and Postscript. Check the
course content page
Course Textbook - August 27, 1999
I have received the permission from the authors and the
publisher, Morgan Kaufmann Publishers, to put the manuscript
on reserve in our library. You will be advised when the
manuscript will be available at the library.
Course Textbook - August 26, 1999
The textbook is not published yet. You will not be able to
find it in the bookstore until the year 2000 . The advantage
is that you do not have to buy a book for this course this
semester. Eventhough, I highly recommend the book when it will be
published, as it is a great data mining reference book for
learners and developers. I am currently seeking the
permission from the authors, Dr. J. Han and M. Kamber, to put a draft
of the book (not to be copied) on reserve in the library.
First Class - August 25, 1999
The first class will be September 10th. There is nothing to
prepare. Just come and meet the other class mates. We will briefly talk
about what we will learn together this term and and you will get a
brief introduction to KDD.
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