首届大数据时代下的综合集成与知识发现研讨会

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活动介绍:

时间:2013年5月14日 上午09:30

地点:中科院软件所5号楼4层大报告厅

大数据信息时代逐渐悄然走来,这对目前的综合信息系统技术同时也带来了空前的挑战。随着我们赖以生存的环境日趋复杂、动态与不确定性,现有的技术已经逐渐无法解决当前的复杂系统问题。本次研讨会将从数据库存储、挖掘与知识发现、综合集成、人机交互和可视化等相关技术以完整的系统结构展开前沿学术技术交流。研讨会日程安排如下:

 

刘 兵 (教授,伊利诺伊芝加哥分校)

Detecting Deceptive or Fake Opinions in Social Media

 

胡长健 (NEC中国研究院)

IT Trend and Smart City Solution in the Big Data Era

 

唐锡晋(教授,系统所)

Qian Xuesen’s Meta Synthesis Approach and Its Key Support Techniques

 

时 磊 (计算机国家重点实验室)

Information Visualization for Big Networks

 

刘奎恩 (基础软件)

IoTCloudDB: A Cloud Based Database System for Massive Heterogeneous Sensor Data Management

 

刘 杰 (软件工程)

Model-driven MapReduce Application Development Methods and Tools

 

王 浩 (综合信息)

Mining Latent Chance Events for Human Decision Making in the Big Data

 

报告人介绍:

Bing Liu is a professor of Computer Science at the University of Illinois at Chicago (UIC). He received his PhD in Artificial Intelligence (AI) from University of Edinburgh. Before joining UIC, he was with the National University of Singapore. His current research interests include sentiment analysis and opinion mining, opinion spam detection, and social media modeling. He has published extensively in top conferences and journals in these areas, and has also given numerous keynote and invited talks. His work on opinion spam detection has received world-wide press coverage including a front page article of The New York Times. In 2012, he published a book titled “Sentiment Analysis and Opinion Mining” (Morgan and Claypool Publishers). Liu’s earlier work was in the areas of data mining, Web mining and machine learning, where he also published extensively in leading conferences and journals, including a textbook titled “Web Data Mining: Exploring Hyperlinks, Contents and Usage Data” (Springer). On professional services, Liu has served as program chairs of KDD, ICDM, CIKM, WSDM, SDM, and PAKDD, and as area/track chairs or senior PC members of many data mining, natural language processing, and AI conferences.

 

胡长健,现任NEC中国研究院计算物理与绿色技术研究部的负责人,NEC社会舆情产品研发和产品化负责人,高级研究员,NEC智慧城市技术顾问,神州数码高级咨询顾问。毕业于清华大学,分别在1999,2002,2005年获得学士、硕士和博士学位,研究制造行业中的知识发现和重用技术。2008年-2009年间在斯坦福大学做访问学者,合作研究语义计算在沟通中的应用。现主要研究经济、分布式和细粒度的感知和控制技术,以及应对分片化、时序和非结构化数据的管理建模技术,致力于构建用于未来物理环境的智能运营系统。业余爱好是宏观经济和社会心理学。

 

唐锡晋,中国科学院数学与系统科学研究院系统科学所研究员。长期致力于决策支持系统研究与系统工程实践,先后致力于区域水资源管理、武器系统评价、商业自动化系统评价等DSS研发,承担并完成NSFC重大项目、973项目、科技攻关项目、国防创新项目及部委企业的协作。任国际知识与系统科学学会秘书长,中国系统工程学会理事, International Journal of Knowledge and Systems Science领域主编, Journal of Systems Science and Complexity(SCI)编委。自2001年主办的综合集成与复杂系统国际研讨会(MCS)已成为中国系统学派的国际窗口之一。曾获得1995年国际多目标决策分析应用Wiley荣誉提名奖(论文)以及第十届中国青年科技奖。

 

                                    综合信息系统技术国家重点实验室  软件所青年联合会

 活动宣传: 

 软件所举办首届“大数据时代下的综合集成与知识发现”研讨会