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

As cloud computing turning computing and software into commodity services, everything as a service in other words, it leads to not only a technology revolution but also a business revolution. Economics of various types of services (infrastructure as a service, platform as a service, software as a service, business process as a service) have to be reexamined. The IEEE International Congress on Big Data (BigData Congress) aims to provide an international forum that formally explores various economic properties of all kinds of Big Data “services,” which was formally promoted by IEEE Computer Society since 2003.

As cloud computing turning computing and software into commodity services, everything as a service in other words, it leads to not only a technology revolution but also a business revolution. Economics of various types of services (infrastructure as a service, platform as a service, software as a service, business process as a service) have to be reexamined. The International Congress on Big Data (BigData Congress) aims to provide an international forum that formally explores various business insights of all kinds of “services,” which was formally promoted by IEEE Computer Society since 2003.

BigData Congress 2013’s major topics include but not limited to:

• 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

All submitted manuscripts will be peer-reviewed by at least 3 program committee members. Accepted and presented papers from all BigData tracks will appear in the conference proceedings. Extended versions of selected research track papers will be invited for potential publication in the IEEE Transactions on Services Computing (TSC), International Journal of Web Services Research (JWSR), and International Journal of Business Process Integration and Management (IJBPIM). Both TSC and JWSR are indexed by SCI and EI [Link]. According to Thomson Scientific, JWSR is listed in the 2008 Journal Citation Report with an Impact Factor of 1.200. The journal ranks #47 of 99 in the Computer Science, Information Systems and ranks #37 of 86 in Computer Science, Software Engineering.

Submitted research & industry track manuscripts will be limited to 8 pages and REQUIRED to be formatted. Submitted Work-in-Progress track manuscripts will be limited to 2 pages. Unformatted papers and papers beyond the page limit will not be reviewed. Electronic submission of manuscripts (in PDF or Word format) is required. Detailed instructions for electronic paper preparation and submission, panel proposals, tutorial proposals, workshop proposals, and review process can be found at conference site.

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 BigData 2013. The first author of the best student paper must be a full-time student. If your paper is application or solution oriented, you can consider submitting it to BigData 2013 Applications & Industry Track. Manuscripts submitted to the Research Track focusing on application or solution descriptions may be recommended to the Industry Track for further consideration if the session slots are available.

Organizing Committee

Honorary Chairs

• Stephen S. Yau, Arizona State University, USA
• Calton Pu, Georgia Tech, USA
• Junliang Chen, Beijing University of Posts and Telecommunications, China

General Chairs

• Liang-Jie Zhang, Kingdee International Software Group CO.,Ltd, China
• Ephraim Feig, Independent Consultant, USA

Program Chairs

• Paul Hofmann, Saffron Technology, USA
• Ming-Chien Shan, SAP Research, USA
• Nianjun (Joe) Zhou, IBM T.J. Watson Research Center, USA
• Ernesto Damiani, University of Milan, Italy

Application and Industry Track Chairs

• Michael Maximilien, IBM Almaden Research Center, USA
• Eric Wong, University of Texas at Dallas, USA
• J. Leon Zhao, City University of Hong Kong, China
• Min Luo, Huawei USA, USA

Work-in-Progress Track Chair

• Incheon Paik, University of Aizu, Japan