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ICBDR 2020 : The 4th International Conference on Big Data Research - Ei compendex, scopus

Tokai University, Tokyo, Japan
Event Date: Nov 27, 2020 - Nov 29, 2020
Submission Deadline: Jun 10, 2020


Big data research is now well established as very diverse and pluri-disciplinary research area whose objective is to deal with massive and heterogeneous datasets and that are too large to be manipulated by conventional modelling and most current computational approaches. Clearly, big data challenges should require novel approaches and success stories should be shared, this favoring exchanges, cross-fertilization and finally advances as well as futur research directions to consider. 

ICBDR is co-sponsored by Tokai University, Japan and SCIEI, supported by Osaka Prefecture University, Japan, Shandong University, China, Shanghai Maritime University, China, EISTI, France, Naval Academy Research Institute, France, and etc. We are pleased to invite you to submit and to present your latest work in this important scientific event, which will take place in Tokai University, Tokyo, Japan during November 27-29, 2020. Previous proceedings were both indexed by EI Compendex and Scopus.

Call For Paper

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
  • Privacy Preserving Big Data Analytics
  • 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

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