Internet and data mining technology
VR(Virtual reality) technology
Using technology, and in particular methods about statistics, online analytical processing, information retrieval, machine learning, expert systems and pattern recognition, we focus on discovering hidden information and patterns in large amount of data. Big data enables companies to provide services to a large number of consumers, and take strategic marketing and business decisions to accomplish sevice transformation.Traditional enterprises are facing the challenge of adapting their business models to the Internet and to make full use of the insights obtained from big data. This includes analyzing data about customer behavior, sales data, and other types of data related to product design. Besides, another important aspect is the design of intelligent websites, personallize to user characteristics.
Philippe Fournier-Viger (Ph.D) is a professor at the Harbin Institute of Technology Shenzhen Grad. School, China. He received a Ph.D. in Computer Science from the University of Quebec in Montreal (2010). He has received the title of "Youth 1000 talent" from the National Science Foundation of China. He has published more than 140 research papers in refereed international conferences and journals, which have received more than 1,300 citations. His research interests include data mining, pattern mining, sequence analysis and prediction, text mining, e-learning, and social network mining. He is also the founder of the popular SPMF open-source data mining library, which has been cited in more than 430 research papers since 2010.
Jerry Chun-Wei Lin (Ph.D.) currently works as an Associate Professor at School of Computer Science and Technology, Harbin Institute of Technology Shenzhen Graduate School, China. He has published more than 210 research papers in referred journals (86 SCI journals) and international conferences. Professor Lin is also one of the project leader of SPMF: An Open-Source Data Mining Library website (http://www.philippe-fournier-viger.com/spmf/), which is a toolkit to collect and implement the library for variants of data mining algorithms. His research interests include data mining, machine learning, artificial intelligence, social computing, multimedia and image processing, and privacy-preserving and security technologies