UB - University at Buffalo, The State University of New York Computer Science and Engineering

CSE 706: Selected Topics in Data Mining

This page refers to the Spring 2017 offering of CSE 706 only. The information on this page does not necessarily apply to every offering of CSE 706.

Spring 2017


Dr. Jing Gao

Data Mining, Social Media Analysis, Crowdsourcing

Data Mining is the process of discovering new and insightful knowledge from large bodies of data. The amount of data in our world has been exploding, and nearly every industry is desperate to infer actionable knowledge from data. There are great opportunities as well as numerous research challenges for data mining in social media analysis, medical domains, computer security and many other fields. This seminar will provide an overview of the state-of-the-art data mining techniques that arise in real applications. We will cover advanced techniques and algorithms for data mining as well as emerging data mining applications. This course will be highly beneficial to students whose research interests are in data mining, machine learning, bioinformatics, databases, information retrieval, artificial intelligence, and also to those who may need to apply data mining to any application.

None presently available.

Have taken at least one course in data mining, machine learning, pattern recognition, information retrieval or other data analytics related field.

Ph.D.: None.

M.S.: This course does not fulfill core area (depth) or core course (breadth) requirements.

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