学　术

　　主　题：Abnormality Detection in Co-evolving Data Streams

　　主讲人：何 静  澳大利亚维多利亚大学教授

　　时　间：2016年12月30日（周五）下午4:00-5:00

　　地　点：清水河校区主楼 B1-104 会议室

　　主持人：计算机科学与工程学院　徐增林教授

　　内容简介：

　　Detecting/predicting anomalies from multiple correlated data streams is valuable to those applications where a credible real-time event prediction system will minimize economic losses (e.g. stock market crash) and save lives (e.g. medical surveillance in the operating theatre). This talk will introduce an effective and efficient method for mining the anomalies of correlated multiple and co-evolving data streams in online and real-time manners. It includes the detection/prediction of anomalies by analyzing differences, changes, and trends in correlated multiple data streams. The predicted anomalies often indicate the critical and actionable information in several application domains.

　　主讲人简介：

　　Dr. Jing He is currently a full professor in the College of Engineering and Science at Victoria University, Australia. She was awarded a PhD degree from the Academy of Mathematics and System Science, Chinese Academy of Sciences in 2006. Prior to joining Victoria University, she worked in the University of Chinese Academy of Sciences, China during 2006-2008. She has been active in areas of Data Mining, Web service/Web search, Spatial and Temporal Database, Multiple Criteria Decision Making, Intelligent Systems, Scientific Workflow and some industry fields such as E-Health, Petroleum Exploration and Development, Water recourse Management and e-Research. She has published over 60 research papers in refereed international journals and conference proceedings, including ACM Transaction on Internet Technology (TOIT), IEEE Transaction on Knowledge and Data Engineering (TKDE), Information Systems, the Computer journal, Computers and Mathematics with Applications, Concurrency and Computation: Practice and Experience, International Journal of Information Technology & Decision Making, Applied Soft Computing, and Water Resource Management. She has received over 1.5 million Australian dollar research funding from the Australian Research Council (ARC) with ARC Early Career Researcher Award (DECRA), ARC Discovery Project, ARC Linkage Project and National Natural Science Foundation of China (NSFC) since 2008.

　　主办单位：研究生院

　　承办单位：计算机科学与工程学院、SIMLE Lab

             　　　　　　　　　　计算机科学与工程学院

　　　　　　　　　　　　　　　　　　　　　2016年12月28日