CS 535/435 Introduction to Data Mining Fall 2009
This data mining course introduces the concepts, algorithms, techniques, and applications of data mining. Topics include background of data mining, data preprocessing, classification, clustering, association-rules mining. This course is designed for CS graduate students, while senior CS undergraduate students interested in the field are also encouraged to take this course.
|Class Schedule: T TH 2:50 PM - 4:15 PM||Classroom: SL 306|
||TA: Yue Han|
|Telephone: (607) 777-6250|
|Email: lyu AT cs DOT binghamton DOT edu||Email: yhan1 AT binghamton DOT edu|
|Office Hours: T TH 1:30PM - 2:30PM or by appointment||Office Hours: M W 4:00PM - 5:00PM|
Introduction to Data Mining, Pang-Ning Tan, Michael Steinbach, and Vipin Kumar, Addison-Wesley, April 2005.
There will be 4 assignments in the form of written exercises on key concepts and algorithms.
Project (required only for graduate students):
There will be a group (of two or three students) project involving implementation of decision tree algorithm and standard model selection procedure.
There will be several quizzes and two exams in class.
For undergraduate students: final grades will be based on quiz (10%), homework (4 assignments, 40%), Exam I (25%), Exam II (25%), project (10% bonus).
For graduate students: final grades will be based on quiz (10%), homework (4 assignments, 20%), Exam I (25%), Exam II (25%), project (20%).
Discussion of general concepts and questions concerning the homework
assignments among students is encouraged. However, each of you is expected
to work on the homework solutions on your own. Sharing of any part of
solutions is prohibited. If you are unclear about the policy, please consult
with the instructor before you act. Suspected cases of academic
misconduct will be pursued fully in accordance to the
Student Academic Honesty
Each assignment is due at the beginning of class on the due date. Any assignment received within the next 24 hours will be penalized by 20% of the full credit; any assignment received within the time between 24 hours and 48 hours pass the deadline is penalized by 50% of the full credit; No assignment will be accepted after 48 hours pass the deadline. Rare exceptions of this policy may be made at the discretion of the instructor under demonstrably circumstances.
Last updated on 08/27/2009