[AISWorld] Call For Papers: IEEE BigData 2014 and Taipei Satellite Session

Federica Paci paci at disi.unitn.it
Tue Dec 3 01:20:35 EST 2013


Call For Papers: The IEEE 2014 3rd International Congress on Big Data
(BigData 2014)
====================================================================================
June 27- July 2, 2014, Anchorage, Alaska, USA

URL: http://www.ieeebigdata.org/2014/


BigData 2014 organizing committee invites you to participate in the 3rd
edition of BigData, to be held on June 27 - July 2, 2014, Anchorage,
Alaska, USA

BigData 2014 will be co-located with the following service-oriented sister
conferences: the 7th IEEE 2014 International Conference on Cloud Computing
(CLOUD 2014), the 11th IEEE 2014 International Conference on Services
Computing (SCC 2014), the 21th IEEE International Conference on Web
Services (ICWS 2014), and the 3rd IEEE International Conference on Mobile
Services (MS 2014). These co-located theme topic conferences will all
center around "services," while each focusing on exploring different
aspects (web-based services, cloud-based services, business services,
mobile services, and Big Data services).

The technical program of BigData 2014 will include a research track, an
industry and application track, and a work-in-progress track. The tracks
will highlight foundational work that strives to push beyond the limits of
existing services economics platforms and products, including experimental
efforts, innovative systems and investigations that identify weaknesses in
the existing services economics models.

The BigData 2014 tracks seek original, UNPUBLISHED research papers
reporting substantive new work in various economic aspects of delivering
services. Research track papers MUST clearly indicate their contributions
to the field and properly cite related work in the field, such as those
published in the proceedings of ICWS, SCC, CLOUD, SERVICES, APSCC, ECOWS,
MS, and related journals including TSC, JWSR, and IJBPIM.


Major topics include but not limited to the following:
- Big Data Models and Algorithms
- Foundational Models for Big Data
- Algorithms and Programming Techniques for Big Data Processing
- Big Data Analytics and Metrics
- Representation Formats for Multimedia Big Data
- Big Data Architectures
- Cloud Computing Techniques for Big Data
- Big Data as a Service
- Big Data Open Platforms
- Big Data in Mobile and Pervasive Computing
- Big Data Management
- Big Data Persistence and Preservation
- Big Data Quality and Provenance Control
- Management Issues of Social Network Big Data
- Big Data Protection, Integrity and Privacy
- Models and Languages for Big Data Protection
- Privacy Preserving Big Data Analytics
- Big Data Encryption
- Security Applications of Big Data
- Anomaly Detection in Very Large Scale Systems
- Collaborative Threat Detection using Big Data Analytics
- Big Data Search and Mining
- Algorithms and Systems for Big Data Search
- Distributed, and Peer-to-peer Search
- Machine learning based on Big Data
- Visualization Analytics for Big Data
- Big Data for Enterprise, Government and Society
- Big Data Economics
- Real-life Case Studies of Value Creation through Big Data Analytics
- Big Data for Business Model Innovation
- Big Data Toolkits
- Big Data in Business Performance Management
- SME-centric Big Data Analytics
- Big Data for Vertical Industries (including Government, Healthcare, and
Environment)
- Scientific Applications of Big Data
- Large-scale Social Media and Recommendation Systems
- Experiences with Big Data Project Deployments
- Big Data in Enterprise Management Models and Practices
- Big Data in Government Management Models and Practices
- Big Data in Smart Planet Solutions
- Big Data for Enterprise Transformation



BigData Organizing Committee 2014
=================================

General Chairs
--------------
 Paul Hofmann, Saffron Technology, USA
 Ming-Chien Shan, SAP Research, USA
 Wu Chou, Huawei IT Lab, Huawei, USA


Program Chairs
--------------
 Peter Chen, Carnegie Mellon University & Louisana State University, USA
 Hemant Jain, University of WisconsinñMilwaukee, USA


Application and Industry Track Chairs
-------------------------------------
 Carminati Barbara, University of Insubria, Italy
 Ling Liu, Georgia Institute of Technology, USA
 Ernesto Damiani, University of Milan, Italy
 Chi-Hung Chi, CSIRO, Australia


Work-in-Progress Track Chairs
-----------------------------
 Wei Tan, IBM T.J. Watson Research Center, USA


Plenary Poster Chairs
---------------------
 Pedro Furtado, University of Coimbra, Portugal
 Georgia M. Kapitsaki, University of Cyprus, Cyprus


Ph.D. Symposium Chair
---------------------
 Aditya K. Ghose, University of Wollongong, Australia


Registration Chair
------------------
 Qun Zhou, IBM T.J. Watson Research Center, USA


Industry Summit Chairs
----------------------
 Shiping Chen, CSIRO, Australia
 Eric Wohlstadter, University of British Columbia, Canada


Publicity Chairs
----------------
 Nuno Laranjeiro, University of Coimbra, Portugal
 Zibin Zheng, Chinese University of Hong Kong, Hong Kong
 Jian Wang, Wuhan University, China
 Federica Paci, University of Trento, Italy


Tutorial Chairs
---------------
 Incheon Paik, University of Aizu, Japan
 Raymond Wong, University of New South Wales, Australia


Panel Chairs
------------
 Louise Moser, University of California Santa Barbara, USA
 Tony Shan, CTS, USA


Workshop Coordinating Chairs
----------------------------
 Rami Bahsoon, The University of Birmingham, UK
 Andreas Wombacher, Nspyre, The Netherlands


Services Education Methodology Summit Chairs
--------------------------------------------
 Andrzej M Goscinski, Deakin University, Australia
 Michael R. Lyu, Chinese University of Hong Kong, Hong Kong


Services CUP Chairs
-------------------
 Yuhong Yan, Concordia University, Canada
 Artem Chebotko, University of Texas - Pan American, USA


Innovation Show Case Chair
--------------------------
 Mikio Aoyama, Nanzan University, Japan


Career Development Chair
------------------------
 Nianjun (Joe) Zhou, IBM T.J. Watson Research Center, USA


Chair of Big Data Hackonson
---------------------------
 Xuanzhe Liu, Peking University, China


Advisory Committee Members
--------------------------
 Sorel Reisman, California State University Fullerton, USA
 Cesar Gonzales, Independent Consultant, USA
 Ian Foster, University of Chicago and Argonne National Lab, USA
 J. Leon Zhao, City University of Hong Kong, Hong Kong
 Junliang Chen, Beijing University of Posts and Telecommunications, China


Steering Committee Members
--------------------------
 Ephraim Feig, Independent Consultant, USA
 Liang-Jie Zhang, Kingdee International Software Group CO.,Ltd, China (Chair)
 Hemant Jain, University of Wisconsin, Milwaukee, USA
 Frank Leymann, University of Stuttgart, Germany
 Jeffrey Tsai, University of Illinois at Chicago, USA
 Carl Chang, Iowa State University, USA



Important Dates:
----------------
Research Track:
 Abstract Submission Deadline: January 31, 2014
 Full Paper Submission Due Date: February 10, 2014
 Decision Notification (Electronic): March 15, 2014
 Camera-Ready Copy Due Date & Pre-registration Due: March 31, 2014

Industry & Application Track:
 Abstract Submission Deadline: January 31, 2014
 Full Paper Submission Due Date: February 10, 2014
 Decision Notification (Electronic): March 15, 2014
 Camera-Ready Copy Due Date & Pre-registration Due: March 31, 2014

Work-in-Progress Track:
 Abstract Submission Deadline: January 31, 2014
 Full Paper Submission Due Date: February 10, 2014
 Decision Notification (Electronic): March 15, 2014
 Camera-Ready Copy Due Date & Pre-registration Due: March 31, 2014



The IEEE 2014 3rd International Congress on Big Data (BigData 2014)
===================================================================

***** Call For Papers: IEEE BigData 2014 Taipei Satellite Session *****

Sponsored by the Technical Committee on Services Computing (TC-SVC), IEEE
Computer Society

Theme: Big Data Applications and Use Cases
Venue: National Taipei University of Technology, Taipei, Taiwan
Date: May 28-30, 2014
URL: http://www.ieeebigdata.org/2014/satellite/taipei/


The 3rd IEEE International Congress on Big Data (BigData 2014) aims to
provide an international forum that formally explores various business
insights of all kinds of value-added "services." Big data is the term for
a collection of large and complex datasets from different sources that is
difficult to process using traditional data management and processing
applications. The IEEE BigData 2014 Taipei Satellite Session focuses on
the Big Data Applications and Use Cases. The major topics include but not
limited to: Big Data Architecture, Big Data Modeling, Big Data As A
Service, Big Data for Vertical Industries, Big Data Analytics, Big Data
Toolkits, Big Data Open Platforms, Economic Analysis, Big Data for
Enterprise Transformation, Big Data in Business Performance Management,
Big Data for Business Model Innovations and Analytics, Big Data in
Enterprise Management Models and Practices, Big Data in Government
Management Models and Practices, and Big Data in Smart Planet Solutions.
The Taipei Satellite Session will be in the format of 2 daysí research
paper presentations and panel discussions as well as 1 dayís site visits
to selected high-tech companies and research projects in big data
applications for exploring potential research cooperation at Taipei.

All submitted manuscripts will be peer-reviewed by 3 reviewers. Accepted
and presented papers from the Taipei Satellite Session will appear in the
proceedings of the 3rd IEEE International Congress on BigData (BigData
2014) at Anchorage, Alaska which will be indexed by EI in IEEE Xplore. At
least one author of each accepted paper is required to register to the 3rd
IEEE International Congress on BigData (BigData 2014) and present the
paper at Taipei, Taiwan on May 28 ñ 30, 2014. In addition, the author also
has right to do another presentation at Anchorage, Alaska on June 27 ñ
July 2, 2014.

Extended versions of all accepted papers will be invited for publication
in the International Journal of Web Services Research (JWSR) which is
indexed by SCI and EI or in the book "Big Data Applications and Use Cases"
for the Springer International Series on Applications and Trends in
Computer Science. The book will be indexed by Thomson Reuters SCI/EI.
Submitted manuscripts will be limited to 8 pages and REQUIRED to be
formatted using the IEEE Proceedings template in WORD or Latex Package.
Unformatted papers and papers beyond the page limit will not be reviewed.
Electronic submission of manuscripts (in PDF or Word format) is required.
Please submit your manuscripts to:
http://www.ieeebigdata.org/2014/satellite/taipei/submission.html


Deadline:
---------
 Abstract Submission Deadline: January 31, 2014
 Full Paper Submission Due Date: February 10, 2014
 Decision Notification (Electronic): March 15, 2014
 Camera-Ready Copy Due Date & Pre-registration Due: March 31, 2014


Honorary Chairs:
----------------
 Leehter Yao, National Taipei University of Technology, Taiwan
 Sy-Yen Kuo, National Taiwan University, Taiwan

Program Committee Chairs:
-------------------------
 Shih-Chia Huang
 Department of Electronic Engineering
 National Taipei University of Technology, Taiwan
 Email: schuang at ntut.edu.tw

 Patrick C. K. Hung
 Faculty of Business and Information Technology
 University of Ontario Institute of Technology, Canada
 Email: patrick.hung at uoit.ca

Publicity Chairs:
-----------------
 Shih-Hsuan Yang, National Taipei University of Technology, Taiwan
 Ding-Bing Lin, National Taipei University of Technology, Taiwan

Program Committee Members:
--------------------------
 Shih-Hao Hung, National Taiwan University, Taiwan
 Yeh-Ching Chung, National Tsing Hua University, Taiwan
 Vincent Shin-Mu Tseng, National Cheng Kung University, Taiwan
 Wei-Ho Tsai, National Taipei University of Technology, Taiwan
 Jin-Shyan Lee, National Taipei University of Technology, Taiwan
 Jong Yih Kuo, National Taipei University of Technology, Taiwan
 Tung-Ju Hsieh, National Taipei University of Technology, Taiwan
 Ren-Hung Hwang, National Chung Cheng University, Taiwan
 Chang-Hong Lin, National Taiwan University of Science and Technology, Taiwan
 Rua-huan Tsaih , National Cheng Chi University, Taiwan
 Wen-Ching Liou, National Cheng Chi University, Taiwan
 Fang Yu, National Cheng Chi University, Taiwan
 Chi-Huang Shih, Hung kuang University, Taiwan
 Wilfred Ng, Hong Kong University of Science and Technology, Hong Kong
 Junbo Wang, University of Aizu, Japan
 Raymond Wong, University of New South Wales, Australia
 Chaoyi Pang, CSIRO, Australia
 Byron Choi, Baptist University of Hong Kong, Hong Kong
 Alex Huang, Nara Institute of Science and Technology, Japan
 Simon Fong, University of Macau, Macau
 Hong-va Leong, Hong Kong Polytechnic University, Hong Kong
 Reynold Cheng, University of Hong Kong, Hong Kong
 Mike Wu, Oakland University, USA


Contact Information
-------------------
If you have any questions or queries on BigData 2014, please send email to
BigData DOT ieeecs AT gmail.com.





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