CS 635 Advanced Data Mining Seminar
This course is a graduate seminar focusing on the state-of-the-art research issues in the area of data mining. Students taking this course will learn advanced techniques and algorithms for data mining and emerging applications of mining complex data such as social networks, graphs, high-throughput biological data, and wireless sensor network data.
This course is designed for CS graduate students, while graduate students from other departments who are interested in data mining research can take this course with instructor approval.
|Class Schedule: T TH 4:25 PM - 5:50 PM|
|Telephone: (607) 777-6250|
|Email: lyu AT cs DOT binghamton DOT edu|
|Office Location: N 26, Engineering Building|
|Office Hours: T TH 12:30PM - 1:30PM, other times by appointment only|
CS 535 (Introduction to Data Mining) or instructor approval
This course does not require any textbook.
Paper Reading and Presentation:
This is a graduate seminar course that will focus on recent literature on advanced techniques and algorithms for data mining and their applications to real-world problems from a range of different domains. After introductory lectures, subsequent classes will focus on research paper presentations.
Each student is required to study recent research papers on selected topics, and present two papers in class. The presenters will also be responsible for conducting group discussions and answering questions.
Each student is required to carry out a research project under the instructor's guidance. One type of project can be implementation of existing data mining algorithms for a particular data mining problem. Another type of project can be an in-depth literature survey on a specific topic of interest. A third type of project can be development of a new data mining algorithm which improves the existing ones. A number of candidate projects will be provided by the instructor and introduced in class at the beginning of the semester. Each student is required to give three oral presentations on the selected project: a project proposal after the introductory classes, an intermediate project report in the middle of the semester, and a final report at the end of the semester. In addition, each student is required to submit a written project report at the end of the semester.
Final grades will be based on class participation 10%, paper presentation 30% (15% for each paper presentation), and project 60% (10% for each oral presentation and 30% for written project report).
Last updated on 01/08/2008