-------- Original-Nachricht -------- Betreff: [AISWorld] Call For Papers: IEEE BigData 2014 and Taipei Satellite Session Datum: Tue, 3 Dec 2013 07:20:35 +0100 (CET) Von: Federica Paci paci@disi.unitn.it An: aisworld@lists.aisnet.org

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The BigData 2014 tracks seek original, UNPUBLISHED research papers reporting substantive new work in various economic aspects of delivering services.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@ntut.edu.tw

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