Download CIS 5700: Advanced Data Mining Winter 2016

CIS 5700: Advanced Data Mining
Winter 2016, Thursday: 6:00PM - 8:45PM
Instructor: Dr. Omid Dehzangi
General Information:
Instructor – Dr. Omid Dehzangi
Phone: (313) 583 6669
E-mail: [email protected]
When – Thursday 6:00pm – 8:45 pm
Course URL – http://www.wssplab.net
Course Description:
This course provides an in-depth study of advanced data mining, data analysis, and pattern recognition
concepts and algorithms. Course content explores advanced pre-processing techniques, machine learning
algorithms, high-dimensional and temporal data, and advanced methods and applications to deal with dynamic
stream data. Some applications will be considered, including health informatics and sensor data mining.
Students will be able to understand the research methods applied in the field of data mining and use the
techniques covered in the course for building an end-to-end data mining project and document and present the
results. Get familiar with methods for modeling, analysis, and evaluating the development of data dependent
modeling systems.
Main Topics:
The course will focus on the following topics:
• Association Rule Mining, Classification, & Prediction
• Distance Measures and Clustering Analysis
• Feature Extraction and Selection
• Dimensionality Reduction Techniques
• Kernel Methods & Support Vector Machine
• Mining Complex Types of Data and Deep Learning
Project:
Participation in a major project is at the core of this course. The instructor will provide a set of papers that
cover the course topics. The project should be an implementation of one of the ideas presented in the papers,
suggested by the student (and approved by the instructor), or suggested by the instructor. Good projects with
novel ideas will be candidate to produce term-papers and will be supported for peer-reviewed conference and
journal submission.