熊辉: Talent Analytics: From Rule of Thumb to Data Science
Time：Friday, July 30, 10：00-11:30 a.m. Beijing Time
Location：1111, building 1, School of Management
Speaker：Hui Xiong, Rutgers, The State University of New Jersey
Abstract：
The big data trend has made its way to talent education and management. Indeed, the availability of large-scale talent data provides unparalleled opportunities for business leaders to understand talent behaviors and generate useful talent knowledge, which in turn deliver intelligence for real-time decision making and effective talent education and management at work. In this talk, we introduce the powerful set of innovative big data techniques developed for intelligent talent management, such as recruiting, performance evaluation, talent retention, talent development, job matching, team management, leadership development, and organization culture analysis. In addition, we will also demonstrate how the results of talent analytics can be used for other business applications, such as financial investment and business innovation.
Introduction：
Professor Xiong Hui is currently Chair Professor of Hong Kong University of Science and Technology (Guangzhou); Distinguished Professor of Rutgers-New Jersey State University and Dean of RBS Chair Professor; The deputy dean of Baidu Research Institute is in charge of 5 laboratories. Professor Xiong Hui's main research areas cover data mining, business intelligence, and human resources big data.He has published prolifically in refereed journals and conference proceedings, such as IEEE Transactions on Knowledge and Data Engineering, the VLDB Journal, INFORMS Journal on Computing, Machine Learning, the Data Mining and Knowledge Discovery Journal, ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), SIAM International Conference on Data Mining (SDM), IEEE International Conference on Data Mining (ICDM), and ACM International Symposium on Advances in Geographic Information Systems (ACM GIS). He is a co-Editor-in-Chief of Encyclopedia of GIS (Springer, 2008) and an Associate Editor of IEEE Transactions on Data and Knowledge Engineering (TKDE), IEEE Transactions on Big Data (TBD)
