CS 435 Introduction to Data Mining Fall 2006
This data mining course introduces the concepts, algorithms, techniques, and applications of data mining. Topics include background of data mining, data preprocessing, classification, clustering, mining association rules. This course is designed for CS senior undergraduate students.
|Class Schedule: T TH 10:05 AM - 11:30 AM||Classroom: FA 346|
||TA: Li Chen|
|Telephone: (607) 777-6250|
|Email: lyu AT cs DOT binghamton DOT edu||Email: lchen8 AT binghamton DOT edu|
|Office Location: N 26, Engineering Building||Office Location: N1, Engineering Building|
|Office Hours: T TH 12:30PM - 1:30PM or by appointment||Office Hours: T 4:00-5:30PM, W 3:30-5:00PM|
Introduction to Data Mining, Pang-Ning Tan, Michael Steinbach, and Vipin Kumar, Addison-Wesley, April 2005.
There will be 4 written assignments during the semester.
There will be two individual projects involving implementation and evaluation of classification algorithms and real-world application of the techniques introduced in class.
There will be several quizzes, one midterm, and one final exam for this class.
Final grades will be based on quiz (5%), homework (4 assignments, 20%), project (2 assignments, 20%), midterm (25%), final (30%).
Student Academic Honesty Code
Any form of collaboration among students is prohibited for all quizzes, homework assignments, and exams. For course projects, each student must individually finish all implementation, evaluation, and application tasks and hand in their own project reports. It is acceptable, however, for students to collaborate and help each other in figuring out solutions to the projects. If any kind of academic dishonesty is found, an "F" will be issued as the final grade of this course. Additional penalty is subjected to the decision of the faculty in the department.
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.
Last updated on 08/22/2006