Online Learning for Big Data Mining: Methods and Applications
Steven C.H. Hoi, Nanyang Technological University, Singapore
No doubt we have entered the Age of Big Data today. For instance, in social media domain, massive amounts of rich media data are being generated by billions of users through various social media sharing tools. The advent of big data presents a number of challenges and opportunities for research and development of scalable machine learning and data mining techniques. In this tutorial, I will first introduce the motivation and background of big data mining, and then present Online Learning --- a family of efficient and scalable machine learning techniques which are promising to tackle emerging challenges of mining big data in a variety of real-world applications. In this tutorial, the main content consists of two parts: (i) online learning methods for linear classification/prediction, and (ii) kernel-based online learning methods for nonlinear classification/prediction.
Steven C.H. Hoi is currently an Assistant Professor of the School of Computer Engineering at Nanyang Technological University, Singapore. He received his Bachelor degree in Computer Science from Tsinghua University, Beijing, P.R. China, in 2002, and both his Master and PhD degrees in Computer Science and Engineering from the Chinese University of Hong Kong, in 2004 and 2006, respectively. His research interests are machine learning and data mining and their applications to tackle challenges of real-world problems in several domains, including multimedia information retrieval (image and video search), social media, web search and data mining, computer vision and pattern recognition, bioinformatics, and computational finance. He has published over 100 referred papers in premier international journals and conferences in his research areas. He is fairly active in his research communities. In particular, he had served as General Co-chair for ACM SIGMM Workshops on Social Media (WSM'09, WSM'10, WSM'11), Program Co-Chair for the fourth Asian Conference on Machine Learning (ACML'12), Book editor for "Social Media Modeling and Computing", Guest editor for Machine Learning journal and ACM Transactions on Intelligent Systems and Technology, Area Chair/Senior Program Committee for conferences including ACM Multimedia 2012 and ACML'11, Technical PC member for many international conferences, and technical referee for top journals and magazines. He had been invited for external funds review by worldwide funding agencies, including the USA NSF funding agency, Hong Kong RGC funding agency, and some European funding agency. He is a member of ACM, AAAI, and IEEE.