Announcements
The homepage is always under construction. Check the course description and syllabus below to decide if
this course suits you.
[2:03pm
on Dec. 10th] More details on data preparation are posted online.
[2:03pm
on Dec. 5th] Please turn in your final project by Dec. 14th (Friday),
2007.
[4:03pm
on Nov. 13th] Final Project and HW 5 are posted on line.
[2:03pm
on Oct. 23th] Quiz 4 Statistics: High/Low/Median=8/0/8.
[2:01pm
on Oct. 9th] Quiz 3 Statistics: High/Low/Median=8.5/0/3.5.
[2:00pm
on Oct. 9th] The submission deadline for HW3 is postponed to Oct. 23,
2007.
HW1 Statistics: High/Low/Median=24/13/20.5.
Starting
from Sept 11th, 2007, we meet on Tuesday from 11:00am to 1:45pm at ECS 235 every week.
No
class on Sept 18th, 2007. The students are expected to try out the following
software:
Please
send me via email your meeting preferences (by specifying the slots that you are
definitely NOT available) at your earliest convenience. We will discuss the
possible changes at Thursday's class on August 30.
Lecture
slides for class 1 is posted online.
Data Mining is the nontrivial extraction of implicit, previously unknown, and
potentially useful information from data. It has gradually matured as a
discipline merging ideas from statistics, machine learning, database and etc.
This is an introductory course for
junior/senior computer science undergraduate students on the topic of Data
Mining. Topics include data
mining applications, data preparation, data reduction and various data mining
techniques (such as association, clustering, classification, anomaly detection)
The course assignments include projects and written homeworks. Projects will be designed to improve the critical analysis and problem-solving skills of students.
Class attendance is mandatory. In addition, occasional quizzes will be given in class. Evaluation will be a subjective process, but it will be primarily based on the students' understanding of the course material. Final grades will be calculated as follows.
| Quizzes | 15% |
| Class Participation | 10% |
| Exams | 20% |
| Assignments | 55% |
