Meeting Time and Location:
T 4:30 pm -
7:10 pm ,
Innovation Hall 206
Instructor: Prof.
Daniel Barbará.
Email: dbarbara (at) gmu (dot) edu
Office: =
Eng. Bldg
4420
Office hour: by appointment
Graduate TA: TBA
Course Home Page
CS584
Overview
This course provides an introduction
to the
fundamental concepts in Data Mining
Concepts and techniques in data mining and multidisciplinary applications. Topics include databases; data cleaning and transformation; concept description; association and correlation rules; data classification and predictive modeling; performance analysis and scalability; data mining in advanced database systems, including text, audio, and images; and emerging themes and future challenges.
Prerequisites: CS 310 and STAT 344
If you have taken CS 659 or 750 (or INFS 755), then you will not receive credit for CS 584
Textbook
Class Attendance
Required. Please arrive on
time. I
expect to start at 4:30 sharp; Please participate in class! Ask
questions if
there is something you don't understand.
Grading Policies
There will also be written homeworks, a
final
project, a in-class midterm exam, and a final exam. Both the final and
midterm
are open-book and open-notes. Missed exams must be arranged with the
instructor BEFORE the exam. Documentation of the illness (doctor's
note)
is required. No early exams will be given and make-up exams are
strongly
discouraged.
Honor Code
You are expected to
abide by
the honor code. All assignments and exams are individual efforts.
Please
refer to
Computer
Science Department Honor Code. Any violation of the honor
code will
result in a zero of the assignment/exam, and may result in an F for the
class.