[dbjapan] 論文募集：IEEE Big Data Congress 2018（2/7締切）

[Yoshiharu Ishikawa <ishikawa [at] i.nagoya-u.ac.jp>]

日本データベース学会の皆様

IEEE Big Data Congress 2018の投稿締切が2/7に延長されました．
以下に情報を添付いたします．よろしくお願いいたします．

なお，以下にありますように，優れた論文については関連するジャーナルに
招待するとのことです．

石川佳治＠名古屋大学

***********************************************************************************
				    CALL FOR PAPERS


2018 IEEE International Congress on Big Data (IEEE BigData Congress 2018)
                      2018 IEEE World Congress on Services
               
                 July 2-7, 2018, San Francisco, California, USA
     
           http://conferences.computer.org/bigdatacongress/2018/

        Submission Deadline: February 7, 2018 (Extended Deadline)

***********************************************************************************

2018 IEEE World Congress on Services (IEEE SERVICES 2018) will be held on July 2-7, 2018 at the Grand Hyatt Hotel in San Francisco, California, USA. The scope of the Congress will cover all aspects of innovative services computing and applications, current and emerging. It involves various systems and networking aspects, such as cloud, edge, and Internet-of-Things (IoT), as well as other research and technologies, such as intelligent computing, learning techniques, and big data, including quality factors, such as high performance, security, privacy, dependability, trustworthiness, and cost-effectiveness.

The Congress with the following seven conferences/congresses is solely sponsored by the IEEE Computer Society under the auspice of the Technical Committee on Services Computing (TCSVC). Original manuscripts are invited to submit to these conferences/congresses considered with most suitable from the technical point of view.  
----------------------------------------------------
IEEE BIGDATA CONGRESS 2018

2018 IEEE International Congress on Big Data (IEEE BigData Congress 2018) aims to provide an international forum for both researchers and engineers in academia and industry to present their latest research findings and practice on major and emerging topics in Big Data.

The technical program of IEEE BigData Congress 2018 will consist of a set of regular tracks and a work-in-progress track. The regular tracks are similar to previous IEEE BigData Congress submission tracks. The regular research track will emphasize both theoretical and experimental research contributions. The work-in-progress paper track will consider concise papers for timely dissemination of new ideas and exploratory results.

We also define the technical scope of big data research broadly from the 5V perspective. In addition to the traditional definition of big volume and high velocity, we also encourage submissions that describe techniques and tools for handling big variety and high veracity. 

Technical topics of interest include but are not limited to the following:

Big Data Models and Algorithms
Big Data Architectures
Big Data Management
Big Data Security and Privacy
Quality of Big Data Services
Big Data Science and Optimization
Big Data Mining and Visualization 
Big Data Applications and Experiences 
Enabling Resources for Big Data Research 
Special Track on Real-Time Big Data Analytics
Special Track on Big Data/Smart Cities and IoT
Special Track on Big Data/Health

----------------------------------------------------
MANUSCRIPT GUIDELINES AND SUBMISSION INFORMATION:

All submitted manuscripts will be peer-reviewed by at least 3 program committee members. Accepted and presented papers from all BigData Congress tracks will appear in the conference proceedings (EI indexed) published by the IEEE Computer Society Press.

Submitted Research Track manuscripts will be limited to 8 (IEEE Proceedings style) pages and REQUIRED to be formatted using the IEEE Proceedings template. Submitted Work-in-Progress Paper track manuscripts will be limited to 4 (IEEE Proceedings style) pages. Unformatted papers and papers beyond the page limit may not be reviewed. Electronic submission of manuscripts (in PDF or Word format) is required.

At least one author of each accepted paper is required to register to the conference and present the paper. One Best Paper award and one Best Student Paper award will be granted at IEEE BigData Congress 2018. The first author of the best student paper must be a full-time student.

SUBMISSION LINK
Please submit your paper at EasyChair.org: 
https://easychair.org/conferences/?conf=ieeebigdatacongress2018 

----------------------------------------------------
KEY DATES:
Paper submission due dates:  February 7, 2018 for regular papers (Extended Deadline)
			                       February 14, 2018 for work-in-progress papers ad workshop papers (Extended Deadline)
Notification to authors on the decisions on papers: March 22, 2018
Camera-ready papers due: April 6, 2018
Congress date: July 2 - 7, 2018

----------------------------------------------------
JOURNAL SPECIAL ISSUES 
Authors of the best technical papers will be invited to submit an extended version of their work to the below journal special issues: 
1. Information Sciences:
Special Issue on Privacy Computing: Principles and Applications (SCI indexed, IF: 4.832)
https://www.journals.elsevier.com/information-sciences/call-for-papers/special-issue-on-privacy-computing-principles-and-applicatio. 

2. IEEE Access:
Special Issue on Internet-of-Things (IoT) Big Data Trust Management (SCI indexed, IF: 3.244)
http://ieeeaccess.ieee.org/special-sections-closed/internet-things-iot-big-data-trust-management/. 

3. Information Fusion:
Special Issue on Data Fusion in Heterogeneous Networks (SCI indexed, IF: 5.667, approved)

4. Future Generation Computer Systems:
Special Issue on Smart Data for Internet of Things (SCI indexed, IF: 3.997, link to be available soon)

5. Wireless Communications and Mobile Computing:
Special Issue on IoT Big Data Analytics (SCI indexed, IF: 1.899, link to be available soon)

----------------------------------------------------
General chair: Laurence T. Yang, St. Francis Xavier University, Canada; 
General co-chair: Francisco Herrera, University of Granada, Spain; 

Program chair: Shadi Ibrahim, Inria, France; 
Program co-chair: Isaac Triguero, University of Nottingham, United Kingdom;
Program co-chair: Bingsheng He, National University of Singapore, Singapore;

TRACK CHAIRS:
Jaume Bacardit, Newcastle University, United Kingdom 
Paolo Bellavista, University of Bologna, Italy 
Alberto Cano, Virginia C. University, USA
Byron Choi, Hong Kong Baptist University, SAR China
Helene Coullon, IMT Atlantique, France
Edward Curry, Insight Centre for Data Analytics, Ireland
Patrick De Causmaecker, KU Leuven, Belgium
Sheng Di, ANL, United States 
Marcos Dias de Assun豪o, Inria, France
Mikel Galar, Public University of Navarre, Spain
Qiang He,  Swinburne University Technology, Australia 
Haibo Hu, Hong Kong Polytechnic University, SAR China
Zengxiang Li, A*STAR, Singapore
Haikun Liu, Huazhong University of Science and Technology, China
Anne-Cecile Orgerie, CNRS, France
Ender Ozcan, University of Nottingham, United Kingdom
Anna Queralt, Barcelona Supercomputing Center, Spain
Sourav S Bhowmick, Nanyang Technological University, Singapore
Sherif Sakr, The University of New South Wales, Australia
Shuo Shang, King Abdullah University of Science and Technology, Saudi Arabia 
Domenico Talia, University of Calabria, Italy
Miguel A. Vega-Rodr暖uez, University of Extremadura, Spain
Sebastian Ventura, University of Cordoba, Spain
Hao Wang, Norwegian University of Science & Technology, Norway
Xiaokui Xiao, National University of Singapore, Singapore
Amelie Chi Zhou, Shenzhen University, China

----------------------------------------------------
TECHNICAL PROGRAM COMMITTEE
See IEEE Big Data Congress website: http://conferences.computer.org/bigdatacongress/2018/about/


IEEE SERVICES Congress General Chair: Stephen S. Yau, Arizona State University, USA

IEEE-CS Technical Committee on Services Computing Chair: Rong Chang, IBM Research, USA

Steering Committee
Elisa Bertino, Purdue University, USA
Carl K. Chang, Iowa State University, USA (Chair)
Rong N. Chang, IBM Research, USA
Peter Chen, Carnegie Mellon University. USA
Ernesto Damiani, University of Milan, Italy
Ian Foster, University of Chicago, USA
Dennis Gannon, Indiana University, USA
Michael Goul, Arizona State University, USA
Hong Mei, Beijing Institute of Technology, China
Stephen S. Yau, Arizona State University, USA