한국전자거래학회

 
 

공지사항 (구게시판 보기)

 
작성일 : 15-03-03 15:22
[행사안내]ICDE 2015 (31ST IEEE INTERNATIONAL CONFERENCE ON DATA ENGINEERING)
 글쓴이 : 사무국
조회 : 9,848  
   ICDE2015_CallForParticipation.pdf (55.4K) [43] DATE : 2015-03-03 15:22:18

ICDE 2015: 31ST IEEE INTERNATIONAL CONFERENCE ON

DATA ENGINEERING

SEOUL, KOREA | APRIL 13-17, 2015

HTTP://ICDE2015.KR

 

CALL FORPARTICIPATION

Established in 1984, ICDE has become apremier forum for the dissemination of data management research results amongresearchers, users, practitioners, and devel opers. The 31st IEEE InternationalConference on Data Engineering takes place in Seoul, Korea, from April 13 toApril 17, 2015. In the spring season, blooming cherry blossoms will welcome youto Seoul.

 

ICDE2015 HIGHLIGHTS

 

We have an exciting program designed toappeal both to researchers and to data engineering professions. It includes:

  • Two keynote talks in main conference;

  • 103 research papers (out of 409 submissions), 15 industrial papers,4 application papers;

  • 29 demos, 9 tutorials, 2 panels and the PhD Symposium;

  • 8 workshops in conjunction with the main conference;

  • Banquet at SEVIT Island a cultural complex built on Han River.(http://www.somesevit.com/en/index.do)

 

KEYNOTE SPEAKERS

  • Hector Garcia-Molina (Stanford University), Data Crowdsourcing: Is it for Real? (April14, Tuesday)

  • Surajit Chaudhuri (Microsoft Research) Information at Your Fingertips: Only a Dream for Enterprises?(April15, Wednesday)

  • Balaji Prabhakar (Urban Engines and Stanford University), The Data Science of Getting from Here to There (Big Data Best Practices Workshop at April 17, Friday)

 

PANELS (Panel Chair: Rakesh Agarawal, Data Insights Laboratories)

  • Panel 1 (April 14, Tuesday) : Big Data: Old Wine in New Bottle?

  • Panel 2 (April 15, Wednesday): Data Engineering in Asia: Unique Technical Challenges and Opportunities

 

10-YEAR MOST INFLUENTIAL PAPER AWARD

  • Michael Stonebraker, Ugur Çetintemel: "One Size Fits All": An Idea Whose Time Has Come and Gone, ICDE 2005.

 

 

TUTORIALS

 

April 13, Monday

  • Data Challenges at Facebook, Nathan Bronson, Thomas Lento, Janet Wiener (Facebook, Inc)

  • The Solid-State Drive Technology, Today and Tomorrow, Sangyeun Cho, Sanghoan Chang, Insoon Jo (Memory Business Samsung Electronics Co.)

  • Blind Men and an Elephant: Coalescing open-source, academic, and industrial perspectives on Big Data, Chris Douglas,Carlo Curino (Microsoft CISL)

     

April 14, Tuesday

  • Reasoning on Web Data: Algorithms and Performance, François Goasdoué (Universite Rennes 1), IoanaManolescu (INRIA),Alexandra Roatis (Université Paris-Sud)

  • Data-driven Crowdsourcing: Management, Mining and Applications, Lei Chen (Hong Kong University of Science and Technology), DongwonLee (The Pennsylvania State University), Tova Milo (Tel Aviv University)

     

April 15, Wednesday

  • How to Stop Under-Utilization and Love Multicores, Anastasia Ailamaki, Erietta Liarou, Pinar Tözün, Danica Porobic, Iraklis Psaroudakis (EPFL)

 

April 16, Thursday

  • Inferencing in Information Extraction: Techniques and Applications, Denilson Barbosa (University of Alberta), Haixun Wang (Google),Cong Yu (Google)

  • Goals in Social Media, Information Retrieval and Intelligent Agents, DimitraPapadimitrou (University of Trento), YannisVelegrakis(University of Trento), Georgia Koutrika (HP Labs), John Mylopoulos (University of Trento)

  • DBMS on Modern Storage Hardware, Ilia Petrov (Reutlingen University), Robert Gottstein (Technical University Darmstadt), SergejHardock (Technical University Darmstadt)

 

ABOUT ICDE 2015

 

The ICDE 2015 International Conference on Data Engineering provides a premier forum for:

  • sharing research solutions to problems of today's information society

  • exposing practicing engineers to evolving research, tools, and practices and providing them with an early opportunity to evaluate these

  • raising awareness in the research community of the problems of practical applications of data engineering

  • promoting the exchange of data engineering technologies and experience among researchers and practicing engineers

  • identifying new issues and directions for future research anddevelopment work.