Data Mining. Spring 2007.
Lecturer: Dr. Rafal A. Angryk; Teaching Assistant: Neal Richter
Course Number: CS 530, Section: 01, CRN: 37805, Credits: 3
Prerequisites: (STAT 217 or I&ME 354) and either (CS 435 or CS 535)
Lectures: Monday, Wednesday, Friday 10:00-11:00AM at EPS 350
Course Web page: http://www.cs.montana.edu/courses/530/
Your points/grades can be checked here
Please check the errata of the textbook draft before you try to identify potential errors in the textbook.
* All requested readings need to be done BEFORE the class. During each of the meetings, the students
may be tested via "daily quizzes" on the readings which has been assigned for the particular day.
Abbreviation PR in the table below stands for "Graduate Course Project".
| Date | Readings* | Lecture | Extras ... |
|
19-Jan |
Syllabus; Intro to CS530 |
(1) Read carefully My General Class Policies. (3) Read Ch.1 from your textbook. (4) Have a look at the IEEE formatting rules for your final paper. |
|
| 22-Jan | Ch.1. | Introduction to DM |
(1) Check out WEKA and Matlab software and its DM capabilities. (2) Check out two industrial DM methodologies: CRISP-DM and SEMMA. (3) Read Ch.2 from your textbook. (4) Check out popular DM Portal. (5) 1st Homework - Paper Review. Review form is here. (6) No idea how to review a paper? Check out Parberry's Referee's Guide |
| 24-Jan | Ch.1. | Introduction to DM - cont. |
|
| 25-Jan at 11.00 AM | Ch.2. | Data Preprocessing (1) |
|
| 26-Jan | Ch.2. | Data Preprocessing (2) |
|
| 29-Jan | Ch.2. | Data Preprocessing (3) | Read Ch.4.3 from your textbook. |
| 30-Jan at 11:00 AM | Ch.4.3 | Data Preprocessing and Attribute-Oriented Induction (1) | |
| 31-Jan | Data Preprocessing and Attribute-Oriented Induction (2) | Read Ch.5 from your textbook. | |
| 2-Feb | Ch. 5 | Frequent Patterns Discovery (1) |
(1) 1st (Paper Review) Homework is due before the class! Only electronic submissions - by e-mail to Rafal (2) No idea how to review a paper? Check out Parberry's Referee's Guide |
| 5-Feb | Ch. 5 | Frequent Patterns Discovery (2) | |
| 7-Feb | Ch. 5 | Frequent Patterns Discovery (3) | |
| 8-Feb at 11:00 AM | Ch. 5 | Frequent Patterns Discovery (4) | |
| 9-Feb | Intro to Projects |
(1) Read Ch.7 from your textbook. (2) Start searching for (a) project idea, (b) literature, (3) data |
|
| 12-Feb | Ch. 7 | Cluster Analysis (1) |
|
| 14-Feb | Ch. 7 | Cluster Analysis (2) | |
| 16-Feb | Ch. 7 | Cluster Analysis (3) | Start preprocessing the PR data |
| 19-Feb | President's Day |
No classes |
|
| 21-Feb | Ch. 7 | Cluster Analysis (4) | |
| 23-Feb | Ch. 7 | Cluster Analysis (5) |
Project Proposals are due before the class! |
| 26-Feb | Ch. 6 | Cluster Analysis (6), Classification (1) | |
| 28-Feb | Ch. 10.4 | TRAVEL - NSF; Text Mining |
Lecture by Neal |
| 2-Mar |
Ch. 10.5 |
TRAVEL - NSF; Web Mining |
Lecture by Neal (2) 2nd Homework is due before the class! Only paper submissions - by hand to Neal |
| 5-Mar | Ch. 6 | Classification (2) | |
| 7-Mar | TEST 1 - 2 HOURS | Covers following chapters: 1, 2, 4.3, 5 & 7. WE MEET IN THE CONFERENCE ROOM. | |
|
9-Mar |
Ch. 6 |
(1) PROJECTS START... (Preliminary Reports on Literature and Data are due) (2) Tutorial on Learning With Bayesian Networks is here |
|
| 12-Mar | Spring Break |
No classes |
|
| 14-Mar | Spring Break |
No classes |
|
| 16-Mar | Spring Break |
No classes |
|
| 19-Mar | TRAVEL - AUI; | ||
| 21-Mar | TRAVEL - AUI; |
PR - Literature Review+Preliminary Approach Design are due by e-mail! All 1-on-1 PR meetings with Neal (schedule your appointments if you think you may need it, otherwise just send me your works by e-mail - THEY ARE DUE ON WEDNESDAY) |
|
| 23-Mar | TRAVEL - AUI; | ||
| 26-Mar | PROJECTS |
|
|
| 28-Mar | Ch. 6 | Classification (4) | PR - Approach Prototype is due! |
| 30-Mar | Ch. 6 | Classification (5) | |
| 2-Apr | TRAVEL - CIDM; |
All PR meetings with Neal (schedule your appointments) |
|
| 4-Apr | TRAVEL - CIDM; |
PR - Final Approach is due by e-mail! All 1-on-1 PR meetings with Neal (schedule your appointments if you think you may need it, otherwise just send me your works by e-mail - THEY ARE DUE ON WEDNESDAY) |
|
| 6-Apr | University Day |
No classes |
|
| 9-Apr | PROJECTS | ||
| 11-Apr | PROJECTS | PR - Implementation Results are due! | |
| 13-Apr | PROJECTS | ||
| 16-Apr | PROJECTS | ||
| 18-Apr | PROJECTS | ||
| 20-Apr | PROJECTS | ||
| 23-Apr | PROJECTS | PR - Preliminary Draft of the Final Paper is due! | |
| 25-Apr | PROJECTS | ||
| 27-Apr | PROJECTS | ||
| 30-Apr | Grad. Pr. Presentations - Monika & Shahriar | ||
| 2-May | Grad. Pr. Presentations - Robbie & David |
PR - Final Papers are due at noon! |
|
|
4-May |
COE Seminar [Dr. Han's Slides in PDF] PR - Final versions of your presentations are due at 2 p.m.! |
||
| 11-May | FINAL EXAM (20%) 8-9:50AM in EPS 350 |
Study! Study! Study! |
|