2021 The 5th International Conference on Big Data Research (ICBDR 2021)

Conference / Summit (onsite)
Computer Science Big Data & Analytics

Address: Tokyo, Tokyo, Japan
Date: 25 to 27 Sep '21

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Proceedings: 

Accepted and presented papers will be published in ACM conference proceedings, indexed by Scopus, Ei, google scholar, etc. 


Conference Chairs :

Kazuhiko Hamamoto, Tokai University, Japan 

Christophe Claramunt, Shanghai Maritime University (China) & Naval Academy Research Institute (France) 


Conference Co-Chairs :

Iwao Fujino, Tokai University, Japan 

Jingchang Pan, Shandong University, China


Contact: 

Dr. Jennifer ROWE 

icbdr@academic.net 

+86 138 8010 4517

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.

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

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.

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

Venue

Tokyo

Organizer

czesnd

Venue

Tokyo

Organizer

czesnd

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