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BDMA 2013 - First International DASFAA Workshop on Big Data Management and Analytics

Date2013-04-22

Deadline2013-02-22

VenueWuhan, China China

Keywords

Websitehttps://totemdb.whu.edu.cn/dasfaa2013

Topics/Call fo Papers

The first International DASFAA Workshop on Big Data Management and Analytics (BDMA 2013) will take place on April 22, 2013 in Wuhan, China, in conjunction with DASFAA 2013 which is an annual international database conference in the Asia-Pacific region. The objective of BDMA 2013 is to create a dedicated forum to bring together researchers, practitioners and others to present and exchange ideas, experiences and the latest research results on big data management and analytics. BDMA 2013 will provide an excellent opportunity for the researchers from academia and industry as well as practitioners to showcase the latest advances in this area and to discuss future research directions and challenges on big data management and analytics. The workshop’s scope includes all important aspects of information technology including processing, management, analytics, visualization, integration and modeling of big data.
Please visit: BDMA2013 Webpage (http://db.pknu.ac.kr/bdma2013/) for more details.
TOPICS OF INTEREST:
We solicit technical papers and position papers (without deep experimental analysis, just to include problem identifications and novel approaches to problem solving) that address all important aspects of information technologies for processing and analyzing big data. Topics of interest include but are not limited to:
-Big data analytics and visualization
-Big data management architectures
-Big data placement, scheduling, and optimization
-Distributed file systems for Big data
-Programming models for Big data processing
-Distributed and federated databases
-Distributed/parallel processing for streaming big data
-Big data processing platform architectures
-Big data integration and interoperable big data modeling
-Real-time processing of streaming big data
-Real-time streaming data analysis
-Real-time visualization of streaming big data
-Streaming big data applications and challenges
-Case studies of applying big data management and analytics for specific applications such as transportation, logistics, healthcare, tour and convention, government services, and military services
-Future research challenges in management and analysis of Big Data
WORKSHOP PROGRAM CHAIRPERSONS:
Cyrus Shahabi, shahabi-AT-usc.edu, University of Southern California, USA
Ge, Yu, yuge-AT-mail.neu.edu.cn, Northeastern University, China
Hong Bonghee, bhhong-AT-pusan.ac.kr, Pusan National University, Korea
PC MEMBERS:
Seon Ho Kim, seonkim-AT-usc.edu, University of Southern California, USA
Jongwook Woo, jwoo5-AT-exchange.calstatela.edu, California State University, USA
Taek Chung, taek.chung-AT-humanvest.com, Humanvest.co, USA
Peter Baumann, p.baumann-AT-jacobs-university.de, Jacobs University Bremen, Germany
Aoying Zhou, ayzhou-AT-sei.ecnu.edu.cn, Eastern China Normal University, China
Zhanhuai Li, lizhh-AT-nwpu.edu.cn, Northwestern Polytechnical University, China
Xiaoyong Du, duyong-AT-ruc.edu.cn, Renmin University, China
Guoren Wang, Wanggr-AT-mail.neu.edu.cn, Northeastern University, China
Yoon Joon Lee, yoonjoon.lee-AT-kaist.ac.kr, KAIST, Korea
SangKeun Lee, yalphy-AT-korea.ac.kr, Korea University, Korea
Hong Gao, honggao-AT-hit.edu.cn, Harbin Institute of Technology, China
Ha-Joo Song, hajoosong-AT-pknu.ac.kr, Pukyong National University, Korea
Sang-goo, Lee, sglee-AT-europa.snu.ac.kr, Seoul National University, Korea
Hyoseop Shin, hsshin-AT-konkuk.ac.kr, Konkuk University, Korea
Wook-Shin, Han, wshan-AT-knu.ac.kr, KyungPook National University, Korea
Jae Soo, Yoo, yjs-AT-chungbuk.ac.kr, Chungbuk National University, Korea
Jinho Kim, jhkim-AT-kangwon.ac.kr, Kangwon National University, Korea
Joonho Kwon, jhkwon-AT-pusan.ac.kr, Pusan National University, Korea

Last modified: 2013-02-21 19:28:31