【计算机学院学者讲坛第201633期预告】Abnormality Detection in Co-evolving Data Streams
发布于:2016-12-29 14:45:50   |   作者:[学院] 计算机学院   |   浏览次数:680

【报告内容】

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.

【专家简介】



 

何静

 

 

中国

专业技

术职务

教授

 

博士

 

(学科)

计算机科学与技术

工作单位

College of Engineering and Science, Victoria University

主要

社会

兼职

1.     Professional Membership: Membership, IEEE Society (since 2009); C++ Programming Engineer, Certified Computer Professional, Australia Computer Society (2006)

2.     Invited talks: She had been given six invited talks on e-health and bioinformatics since 2009.

3.     She was an Invited Fellow of the Japan Society for Promotion of Science in 2005-2006, hosted by Konan University.

简历

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.

主要

学术

成就

(成果)

1. 所获荣誉:2014: Citation Award, Vice-Chancellor Excellent Research Award, Victoria University; 2012: Peak Award, Vice-Chancellor Early Career Researcher Award, Victoria University; 2012: Discovery Early Career Research Award, Australia Research Council; 2007: Excellent New Course Award, University of Chinese Academy of Sciences; 2005: Research Fellowship, the Ministry of Education, Culture, Sports, Science and Technology, Japan.

2.    Professional Membership: Membership, IEEE Society (since 2009); C++ Programming Engineer, Certified Computer Professional, Australia Computer Society (2006)

3.    Invited talks: She had been given six invited talks on e-health and bioinformatics since 2009.

4.    She was an Invited Fellow of the Japan Society for Promotion of Science in 2005-2006, hosted by Konan University.

5.    Conference organization: Program Chair of the Second International Conference of  Data Science, Sydney, Australia, May, 2015;  Program Chair of the Third International Conference of Health Information Science, Shenzhen, China, April, 2014; Program Chair of the Second International Conference of Health Information Science, London, UK, April, 2013; Program Chair of the First International Conference of Health Information Science, Beijing, China, April, 2012; Finance Chair of the 14th Asia Pacific Web Conference, April, Kunming, China, 2012……

6.    Refereed Journal Articles: [1]. Ferry Susanto, Paulo A. de Souza Junior, Jing He: Spatiotemporal Interpolation for Environmental Modelling. Sensors 16(8): 1245 (2016); [2]. Jiemin Chen, Feiyi Tang, Jing Xiao, Jianguo Li, Jing He, Yong Tang: CogTime_RMF: regularized matrix factorization with drifting cognition degree for collaborative filtering. Cluster Computing 19(2): 821-835 (2016); [3]. Guangyan Huang, Jing He, Wanlei Zhou, Guang-Li Huang, Limin Guo, Xiangmin Zhou, Feiyi Tang: Discovery of stop regions for understanding repeat travel behaviors of moving objects. J. Comput. Syst. Sci. 82(4): 582-593 (2016); [4]. Roozbeh Zarei, Jing He, Guangyan Huang, Yanchun Zhang: Effective and efficient detection of premature ventricular contractions based on variation of principal directions. Digital Signal Processing 50: 93-102 (2016); [5]. Ferry Susanto, Setia Budi, Paulo A. de Souza Junior, Ulrich Engelke, Jing He: Design of Environmental Sensor Networks Using Evolutionary Algorithms. IEEE Geosci. Remote Sensing Lett. 13(4): 575-579 (2016)……Ying Zhang, Yi Fang, Xiaojun Quan, Lin Dai, Luo Si, Xiaojie Yuan: Emotion tagging for comments of online news by meta classification with heterogeneous information sources. SIGIR 2012: 1059-1060.

Xiaojun Quan, Liu Wenyin, Wenyu Dou: Longitudinal Sales Responses with Online Reviews. ICDM Workshops 2011: 103-108.

Yao Lu, Xiangfei Kong, Xiaojun Quan, Wenyin Liu, Yinlong Xu: Exploring the Sentiment Strength of User Reviews. WAIM 2010: 471-482.

Xiaojun Quan, Enhong Chen, Qiming Luo, Hui Xiong: Adaptive label-driven scaling for latent semantic indexing. SIGIR 2008: 827-828.