[Adapt] FW: 答复: [BASICS] 学术报告会 - Querying Big Data: From Theory and Practice

[Kenny Zhu]

Please go to this talk.

 

Kenny

From: Prof. Haibing Guan [mailto:hbguan at sjtu.edu.cn] 
Sent: 2015年5月12日 8:06
To: Guihai Chen; longhuan at sjtu.edu.cn; 'all'
Cc: 'Wenfei?Fan'; fu-yx at cs.sjtu.edu.cn; 'Davis Huang'
Subject: Re: 答复: [BASICS] 学术报告会 - Querying Big Data: From Theory and Practice

 

好的，管海兵

On 15/5/11 下午10:50, Guihai Chen wrote:

各位，5月13日中午，我做东招待大家共进午餐。

谢谢！

陈贵海

 

发件人: longhuan at sjtu.edu.cn [mailto:longhuan at sjtu.edu.cn] 
发送时间: 2015年5月8日 17:38
收件人: all
抄送: Wenfei?Fan; fu-yx at cs.sjtu.edu.cn; gchen; Davis Huang
主题: 回复: [BASICS] 学术报告会 - Querying Big Data: From Theory and Practice

 

您好，

 

因为一些特殊情况，Wenfei Fan 教 授报告的时间地点有改动，新信息如下：

 

Time: 5/13/2015, Wednesday, 10:00 am

Where: Room 410, NO. 3 SEIEE Building, 

Title: Querying Big Data: From Theory and Practice

Speaker: Prof. Wenfei Fan, University of Edinburgh, UK

 

请丁老师帮忙更新宣传板的信息，非常感谢！

 

祝周末愉快


  _____  


Huan Long (龙环)

BASICS Lab

Shanghai Jiao Tong University

 

发件人： longhuan at sjtu.edu.cn

发送时间： 2015-05-04 10:24

收件人： all <mailto:all at cs.sjtu.edu.cn> 

抄送： Wenfei?Fan <mailto:wenfei at inf.ed.ac.uk> ; fu-yx at cs.sjtu.edu.cn; gchen <mailto:gchen at cs.sjtu.edu.cn> ; Davis Huang <mailto:huangzy at gmail.com> 

主题： [BASICS] 学术报告会 - Querying Big Data: From Theory and Practice

您好！

   软 件理论所邀请了Wenfei Fan 教授做大数据方面的报告。以下 为报告信息。

  

Time: 5/13/2015, Wednesday, 1:00 pm

Where: Room 318, NO. 3 SEIEE Building, 

Title: Querying Big Data: From Theory and Practice

Speaker: Prof. Wenfei Fan, University of Edinburgh, UK

----------------------------------------------------------------------------
Abstract:


Querying big data is a departure from our familiar database
techniques and even from the classical computational complexity
theory. Several questions arise. What query classes are tractable
in the context of big data? When is it feasible to query big data
by accessing small data? Is there any practical technique for
querying big data? When exact answers are beyond reach in
practice, is approximate query answering possible within our
constrained resources and with accuracy guarantees? This talk
aims to provide an overview of recent advances in tackling
these questions.


----------------------------------------------------------------------------
Bio

Professor Wenfei Fan is the Chair of Web Data Management in
the School of Informatics, University of Edinburgh, UK, and
the director of the International Research Center on Big
Data, Beihang University, China. Prior to his move to the UK,
he worked for Bell Labs, Lucent Technologies in the USA. He
received his PhD from the University of Pennsylvania, USA,
and his MS and BS from Peking University, China.

Professor Fan is a Fellow of the Royal Society of Edinburgh, UK,
a Fellow of the ACM, USA, a National Professor of the 1000-Talent
Program and a Yangtze River Scholar, China.  He is a recipient of
the Alberto O. Mendelzon Test-of-Time Award of ACM PODS 2015 and 2010,
the Roger Needham Award in 2008, the Outstanding Overseas
Young Scholar Award in 2003, the NSF Career Award in 2001,
and several Best Paper Awards (VLDB 2010, ICDE 2007, and Computer
Networks 2002). His current research interests include database
theory and systems, in particular big data, data quality, data
integration, distributed query processing, query languages,
recommender systems, social networks and Web services.

 

 

 

欢迎参加，祝好！


  _____  


Huan Long (龙环)

BASICS Lab

Shanghai Jiao Tong University

 

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