Overview:

Many emerging applications of big data involve time series data. In this talk, Yan Liu will discuss a collection of machine learning and data mining approaches to effectively analyze and model large-scale time series and spatio-temporal data. Experiment results will be shown to demonstrate the effectiveness of models in healthcare and climate applications.

About Yan Liu:

Yan Liu is an assistant professor in Computer Science Department at the University of Southern California from 2010. Before that, she was a Research Staff Member at IBM Research. She received her Master's of Science and Ph.D. degree from Carnegie Mellon University in 2004 and 2007. Her research interest includes developing scalable machine learning and data mining algorithms for time series data and structured data with applications to social media analysis, computational biology, climate modeling and health care. She has received several awards, including NSF CAREER Award, Okawa Foundation Research Award, ACM Dissertation Award Honorable Mention, Best Paper Award in SIAM Data Mining Conference, Yahoo, IBM and Facebook Faculty Award and the winner of several data mining competitions, such as KDD Cup and INFORMS data mining competition.