Big Data 2016 : The 4th International Workshop on Big Data
Call For Papers
Big Data recently has become a new ubiquitous term to describe large datasets that are challenging to store, search, share, visualize, and analyze. Effective management and analysis of the Big Data would bring substantial benefits and unique opportunities to the users. However, the conventional methods are limited on providing desirable operations on effective Big Data analytics. The Big Data workshop 2016 (BigData 2016) is to promote research works in this emerging area of Big Data-inspired computing, networks, systems, and applications. BigData 2016, held in conjunction with CyberC 2016, aims to provide a leading forum for sharing and exchanging experiences, new ideas, and research results on broad topics of Big Data Research, Development, and Applications. It solicits high quality papers that illustrate novel Big Data models, architecture and infrastructure, management, search and processing, security and privacy, applications, surveys and industrial experiences.
Authors of Big Data workshop 2016 are promoted to freely enjoy CyberC 2016 and Big Data Summit. Both of the events are co-sponsored and participated by several Big Data related industry companies.
Authors are cordially invited to submit original research papers in any aspects of Big Data with emphasis on but are not limited to the following topics:
Big Data Theory and Foundation
· Theoretical and Computational Models for Big Data
· Information Quantitative and Qualitative for Big Data
· Theories and Methodologies for Big Data Processing
· Architectures and Designs of Big Data Processing Systems
· Machine Learning Theory for Big Data
Big Data Infrastructure
· Big Data Streaming Platforms for real-time data analytics
· Cloud/Grid/Stream Computing for Big Data
· High Performance/Parallel Computing Platforms for Big Data
· System Architectures, Platforms, Design, and Deployment for Big Data
· Energy-efficient Computing for Big Data
· Programming Models and Environments for Cluster, Cloud, and Grid Computing
Big Data Management
· Advanced Database and Web Applications for Big Data
· Data Model and Structure for Big Data
· Data Preservation and Provenance
· Interfaces to Database Systems and Analytics Software
· Data and Information Integration and Fusion for Big Data
· Data Management for Mobile, Pervasive and Grid Computing
· Scientific and Social Data Management and Workflow Optimization
Big Data Search and Processing
· Big Data Search Architecture, Scalability, and Efficiency
· Algorithms and Architectures for Big Data Search, Mining and Processing
· Search, Store and Process Big Data in Distributed, Grid and Cloud Systems
· Semantic-based Big Data Analytics and Processing
· Multi-Structured Multi-Domain Big Data Fusion and Integration
· Ontology Representations and Processing in Big Data
· Automatic and Machine Learning Methods for Big Data
· Hadoop and MapReduce based Approaches for Big Data Processing
Big Data Protection, Security and Privacy
· Threat and Intrusion Detection for High Speed Networks
· High Performance and Efficiency Data Cryptography
· Privacy Threats Analysis for Big Data Systems
· Visualizing Large Scale Security Data
· Security and Risk in Big Data Processing
· Trust, Reputation and Recommendation Systems for Big Data Systems
· Privacy and Security Preservation for Multi-Level Security (MLS) Cross-domain Big Data Computing System
Big Data Applications
· Big Data Applications and Software in Science, Engineering, Healthcare, Finance, Business, Transportation, Telecommunications, etc.
· Big Data Analytics in Small Business Enterprises, Public Sector and Government.
· Big Data Industry Standards
· Development and Deployment Experiences with Big Data Systems.
Submission deadline for full (10-page) and short (4-page) papers: July 15 2016
Notification of acceptance: August 15 2016
Camera-ready and registration deadline: September 1 2016
Chair: Dr. Yong Zhao, email@example.com, Vice Director, Big Data Processing Center, Tsinghua University; Director, Extreme Scale Network Computing and Service Lab, University of Electronic Science and Technology of China. Author of the book “Big Data Revolution – Theory, Mode and Technology Innovation”.
Co-Chair: Prof. Yousuo Zou was an associate professor of computer science at Baylor University system, one of top 50 US research universities located in central Texas. Since 2003, he moved to University of Guam, a state university supported by Government of Guam, USA. He also is a visiting scientist at UCLA and a Guest/Visiting Professor at Chinese Academy of Sciences (Institute of Atmospheric Physics - Beijing). Noted that his former graduate advisers at UCLA (PhD) and at Chinese Academy of Sciences-Beijing are receivers of Nobel Prize. They both are members /Academicians of Academy of Engineering and Sciences in both countries.
Co-chair: Dr. Jianmin Wang, Jimwang@tsinghua.edu.cn, Director, Big Data Research Institute, Tsinghua University.
Co-Chair:Dr. Anyu Li, firstname.lastname@example.org, Director, E-Business Research Institute, University of International Business and Economics.
Technical Program Committee
Jian Guo, Harvard University, USA
Shiyong Lu, Wayne State University, USA
Ioan Raicu, Illinois Institute of Technology, USA
Mike Wilde, University of Chicago, USA
Chen Peng, Google Inc. USA
Chenghui Cai, Opera Solutions LLC, USA
Cui Lin, Hitachi Data System, USA
Zhangxin Lin, Texas Tech University, USA
Dou Shen, Baidu Inc. China
Jingjin Xu, Huawei Corporation, China
Shicong Feng, MiningLamp, China
Jianfeng Zhan, Chinese Academy of Science
Wenjun Wu, Beihang University, China
Jiantong Cao, Beijing University of Posts and Telecommunications, China
Huihua Yang, Beijing University of Posts and Telecommunications, China
Lin Zhang, Beijing University of Posts and Telecommunications, China
Wenhong Tian, University of Electronic Science and Technology of China
Ruini Xue, University of Electronic Science and Technology of China
EDAS Submission: Click Here or go to http://edas.info/ by selecting “2016 Big Data”.
Electronic submission to email@example.com with title of “Big Data 2016 Submission” is also accepted.
Please DO NOT submit both ways.
All submitted manuscripts should be prepared as technical papers and may not exceed 8 letter size (8.5 x 11) pages including figures, tables and references using the IEEE format for conference proceedings (print area of 6-1/2 inches (16.51 cm) wide by 8-7/8 inches (22.51 cm) high, two-column format with columns 3-1/16 inches (7.85 cm) wide with a 3/8 inch (0.81 cm) space between them, single-spaced 10-point Times fully justified text). For more information please see ftp://pubftp.computer.org/Press/Outgoing/proceedings/. Submissions not conforming to these guidelines may be returned without review. The submitted manuscripts can be prepared in Word, or Latex using the IEEE templates, but authors should finally submit the manuscript in PDF format and make sure that the file will print on a printer that uses letter size (8.5 x 11) paper. The official language of the meeting is English.
Manuscript submission procedure is available over the Web at http://edas.info/. We encourage you to use EDAS Online Submission by selecting “2016 Big Data”. If you have troubles in using the Web submission, you can also submit your paper to firstname.lastname@example.org or contact us. Electronic submissions must be in the form of a readable PDF file.
Submitted manuscripts have to present the original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines will be rejected without review and further action may be taken, including (but not limited to) notifications sent to the heads of the institutions of the authors and sponsors of the conference. Submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered.
Manuscripts should present the current research works that are not published. All submitted manuscripts will be reviewed by experts in the fields and will be judged from the aspects of problem significance, contributions, originality, correctness, technical strength, quality of presentation, and relevance to the conference attendees. Papers will be accepted with Regular Papers and Short Papers with maximal 8 pages and 4 pages in the final version respectively.
Accepted and presented papers will be included into the IEEE Conference Proceeding for publication via IEEE Computer Society CPS (Conference Publishing Services). All the accepted papers in 2015 are collected in the IEEE Explore, EI Compendex, EI Inspec, and Google Scholar.
For more information about the conference, please visit www.CyberC.org, contact us at Papers@CyberC.org or Program Chair.