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Big Data 2018 : The 6th International Workshop on Big Data

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Link: http://cyberc.org/Program/BigData
 
When Oct 18, 2018 - Oct 20, 2018
Where China
Submission Deadline Jun 30, 2018
Notification Due Jul 30, 2018
Final Version Due Aug 20, 2018
Categories    big data   machine learning   data mining   data analytics
 

Call For Papers

Big Data recently has become a ubiquitous term to describe large datasets that are challenging to store, search, share, visualize, analyze, and learn. Effective management and analysis of the Big Data would bring great benefits and unique opportunities to the users. However, there are still many open issues for deep investigation. The Big Data workshop 2018 (BigData 2018) is to promote the research in this emerging area of Big Data-intensive computing, algorithms, networks, systems, and applications. BigData 2018, held in conjunction with CyberC 2018, 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 2018 are free for enjoying CyberC 2018 and Summits.
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
Big Data Infrastructure
• 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.

Important Dates
Submission deadline for full (10 pages) and short (4 pages) papers: May 30, 2018
Notification of acceptance: July 30, 2018
Camera-ready and registration deadline: August 20, 2016

Workshop Chair
Xiaohui, InfoBeyond Technology, USA

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

Submissions:
Authors are invited to submit original technical papers by http://edas.info/N24728 or login to http://edas.info/ by selecting “Big Data 2018”. Electronic submission to papers@cyberc.org with a title of “Big Data 2018 Submission” is also accepted. Please DO NOT submit both ways.

Manuscript Guidelines
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 “Big Data 2018”. If you have troubles in using the Web submission, you can also submit your paper to papers@cyberc.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.

Paper Acceptance
Manuscripts should present the current research in the areas identified in the call for papers. 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.

Publication
All accepted and presented papers will be published in CyberC 2018 Proceeding by IEEE Computer Society Conference Publishing Services. These papers will be collected in IEEE Xplore and further scheduled to EI, Dblp, Google Scholars, SCOPUS, and other IEEE abstract and index partners (e.g., INSPEC, Thomson Reuters’ Web of Science). You can find our all publications recorded in the past 9 years.

CyberC QQ:1625638480

Contact
For more information about the conference, please visit www.CyberC.org, contact us at Papers@CyberC.org or Program Chair.

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