In recent years, “Big Data” overall architecture consists of three layers: data storage, data processing and data analysis. Data storage layer stores complex type and mass data, data processing layer realizes real-time processing of massive data, and only through data analysis layer, smart, in-depth and valuable information are got.

Publication
 

All accepted papers after proper registration and presentation, will be published in the ICBDA 2017 conference Proceedings, and reviewed by the IEEE Conference Publication Program for IEEE Xplore and Ei Compendex.

 

Dr. Simon Fong（方正天教授）
 

University of Macau, Macau SAR（澳门大学）

 

Topics of interest for submission include, but are not limited to:

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

Management Issues of Social Network Big Data

 

Big Data Protection, Integrity and Privacy

 

Models and Languages for Big Data Protection

Privacy Preserving Big Data Analytics

Big Data Encryption

 

Security Applications of Big Data

 

Anomaly Detection in Very Large Scale Systems

Collaborative Threat Detection using Big Data Analytics

 

Big Data Search and Mining 

 

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 for Enterprise, Government and Society

 

Big Data Economics

Real-life Case Studies of Value Creation through Big Data Analytics

Big Data for Business Model Innovation

Big Data Toolkits

Big Data in Business Performance Management

SME-centric Big Data Analytics

Big Data for Vertical Industries (including Government, Healthcare, and Environment)

Scientific Applications of Big Data

Large-scale Social Media and Recommendation Systems

Experiences with Big Data Project Deployments

Big Data in Enterprise Management Models and Practices

Big Data in Government Management Models and Practices

Big Data in Smart Planet Solutions

Big Data for Enterprise Transformation