dbjapanメーリングリストアーカイブ(2014年)
[ Invitation to join the DNIS 2014 workshop session at LTh ( 24 -26 March ) ]
- To: dbjapan [at] dbsj.org
- Subject: [ Invitation to join the DNIS 2014 workshop session at LTh ( 24 -26 March ) ]
- From: shinji.kikuchi [at] kne.biglobe.ne.jp
- Date: Thu, 20 Mar 2014 12:45:16 +0900 (JST)
日本データベース学会会員の皆様、 会津大学 Research Visitor /NECの菊地と申します。2014年3月24日より会津大学で国内外で ご活躍されている研究者を集め、DNIS 2014のワークショップを本年度も開催致します。幾つか の特待事項もございます。皆様のご参加をお待ちしております。 どうぞ宜しくお願い申し上げます。 プログラム:http://web-ext.u-aizu.ac.jp/labs/is-ds/DNIS2014.html 日 時 :March 24 - 26, 2014 場 所 :公立大学法人会津大学、福島県会津若松市 日 程 :Workshop dates: 24 - 26 March 2014 ---------------------------------------------------------------------------------------- Dear all 9th International Conference "DNIS 2014" will be organized by University of Aizu (24-26 March 2014). http://web-ext.u-aizu.ac.jp/labs/is-ds/DNIS2014.html The workshop will focus on the topic- " Business Data Analytics in Astronomy and Sciences ". All are invited to participate. Please encourage interested experts to attend. No REGISTRATION is needed. [ Please do not register. ] - There is no fee to attend the day sessions, and tea/cofee breaks. - Lunch will at the student cafeteria (Please pay by self). - Please download workshop proceedings, or take a printed copy at the workshop (for faculty / experts ), published by springer-verlag, Germany. Global experts and distinguished researchers from CalTech and Los Alamos National Laboratory, USA, will deliver lectures to discuss common interests in Data Management Systems.- 1. Prof. Thomas Prince , CalTech, USA - Data Exploration in Large Area Time-Domain Sky Surveys 2. Shrinivas Kulkarni, CalTech, USA - Big Data in Astronomy 3. Miguel Ceriani, University of Rome, Italy - A Dataflow Platform for In-silico Experiments Based on Linked Data 4. Ceren Budak, Microsoft Research, New York, USA - Big Data in Online Social Networks: User Interaction Analysis 5. Przemek Wozniak, Loa Alamos National Laboratory, USA - Towards an Intelligent Astronomical Event Broker 6. Adam A. Miller, Jet Propulsion Laboratory, CalTech, USA - Machine-Learning Enabled Stellar Classification and the Prediction of Fundamental Atmospheric Parameters 7. P. Krishna Reddy, IIIT, Hyderabad, India -eAgromet - Implementing Integrated Agro-metrological Advisory Service Looking forward to your participation. with kind regards, Subhash Bhalla ---------------------------------------------------------------------------------------- Best Regards 菊地伸治 Shinji Kikuchi Ph.D (shinji.kikuchi [at] ieee.org)
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