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澳大利亚麦考瑞大学杨坚教授学术报告会通知

阅读量:1889 发布时间:2017-04-18 10:53:46

 

报告题目:Topic Derivation in Twitter

报告时间:4月21日上午9:45-11:00

报告地点:1教三楼会议室

主讲者:Prof. Prof Jian Yang, Director of Research, Department of Computing, Macquarie University, Sydney, Australia

联系人: 俞东进yudj@hdu.edu.cn

报告摘要:

As one of the most popular social media, Twitter has attracted interests of business and academics to derive topics and apply the outcomes in a wide range of applications such as emergency management, business advertisements, and corporate/government communication. Since tweets are short messages, topic derivation from tweets becomes a big challenge in the area. Most of existing works use the Twitter content as the only source in the topic derivation. Recently, tweet interactions have been considered additionally for improving the quality of topic derivation.

In this talk, we introduce a method that incorporates social interactions such as mention, retweet, etc into twitter content to derive topics. Experimental results show that the proposed method with the inclusion of temporal features results in a significant improvement in the quality of topic derivation comparing to existing baseline methods.

In this talk, we will explain the general idea of Matrix Factorisation and how it is applied in topic derivation, the experiment set up, and experiment results analysis.

 

 

报告题目:QoS Aggregation for Service Based Business Processes

报告时间:4月21日上午13:45-14:30

报告地点:1教三楼会议室

主讲者:Prof. Prof Jian Yang, Director of Research, Department of Computing, Macquarie University, Sydney, Australia

联系人: 俞东进yudj@hdu.edu.cn

报告摘要:

A business process can be built by composing services with various QoS, which can have complex structures such as loop, conditional, parallel, etc. Here two issues arisen: (1) how individual QoS is presented: single value, discrete values, well known distribution? (2) how individual QoS shall be aggregated based on the complex structure?

 

In this talk we propose a method that (1) individual QoS is presented as any statistical distribution without any restriction on its shape; (2) the aggregation is based on calculation instead of  simulation.

We will also explain the underlying montecarlo technique used in aggregating QoS. 

 

 

 

报告人简介:

 

Dr. Jian Yang is a full professor at Department of Computing, Macquarie University. She received her PhD in Multidatabase Systems area  from The Australian National University in 1995. Before she joined Macquarie University, she worked as an associate professor at Tilburg University, Netherlands (2000-2003), a senior research scientist at the Division of Mathematical and Information Science, CSIRO, Australia (1998-2000), and as an assistant professor at Dept of Computer Science, The Australian Defence Force Academy, University of New South Wales (1993-1998).

 

 

Dr. Yang has published over 200 papers in the international journals and conferences such as IEEE transactions, Information Systems, Data & Knowledge Engineering, CACM, VLDB, ICDCS, ICSOC, CAiSE, CoopIS, CIKM, etc. She is the member of steering committee of the prime international conference on service oriented computing (ICSOC). She has been general chair and program committee chair of several international conferences such as ICSOC. She has served as program committee member in various international conferences such as: ICDE, CAiSE,  ICSOC, ER, CoopIS, ICSOC, BPM, ICWS, SCC, WISE, etc. She is also a regular reviewer for journals such as IEEE Transactions on Knowledge & Data Engineering, Data & Knowledge Engineering, VLDB Journal, IEEE Internet Computing, etc.

 

 

Her main research interests are: web service technology; business process management; social network based data analysis; interoperability, trust and security issues in internet.

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