International Conference on Big Data Research (ICBDR 2017)

2017 International Conference on Big Data Research aims to bring together researchers and practitioners from academia and industry to discuss  latest progress and development in this fields. ICBDR 2017 would be the international platform for knowledge sharing as well as creating favorable atmosphere for collaboration initiations. This event will include contributions by renowned plenary and invited speakers, oral presentations, posters sessions and technical exhibition that relate to the topics dealt with in the Scientific Program.

We are pleased to invite you to submit an abstract/manuscripts to present your work in this important scientific event, which will be launched in Osaka, Japan, October 22-24, 2017.

*Keynote Speakers:
Prof. Moshe Zukerman, City University of Hong Kong;
Prof.Jie LI, University of Tsukuba, Japan;
Ruidong Li (National Institute of Information and Communications Technology (NICT), Japan.
 

Call for Papers:

We encourage original submissions related to, but not limited to, the following advanced energy materials based system topics:

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
• Big Data Storage and Retrieval

Big Data Security and Privacy

• Big Data System Security and Integrity
• Big Data Information Security
• o Privacy Preserving Big Data Analytics
• o Usable Security and Privacy for Big Data

Big Data in Smart Cities

• Big Data for Improving Resilient Infrastructures
• Big Data Applications such as Healthcare and Transportation
• Big Data for Enterprise, Government, and Society
• Big Data for Science and Engineering Research

Big Data Search, Mining, and Visualization

• Algorithms and Systems for Big Data Search
• Distributed, and Peer-to-peer Search
• Machine learning based on Big Data
• Visualization Analytics for Big Data

Proceedings

Accepted and registered full papers will be archived in the ACM Digital Library, and indexed by Ei Compendex & Scopus.

Submission:
1. By Email:[email protected];
2. By online submission system:  https://easychair.org/my/conference.cgi?welcome=1;conf=icbdr2017;a=12771487

Others Details

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