Meeting Time and Location:
W 4:30 pm - 7:10 pm , Innovation Hall 136
Email: dbarbara (at) gmu (dot) edu
Office: = Eng. Bldg 4420
Office hour: by appointment
Graduate TA: TBA
Course Home Page
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 688 or permission of instructor
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.
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. The final exam will be comprehensive, i.e., it will cover the entire course. 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.
Late PolicyLate homework will be accepted with a penalty of 20% per day within 3 days after deadlines and will not be accepted three days after due, unless under prearranged conditions.
You are expected to abide by the honor code. All assignments and exams are individual efforts. Please refer to GMU Academic Policies and 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.