2019 IEEE 4th International Conference on Big Data Analysis (ICBDA 2019)--Ei Compendex and Scopus

Publication
 
All accepted papers after proper registration and presentation, will be published in the ICBDA 2019 conference Proceedings, and reviewed by the IEEE Conference Publication Program for IEEE Xplore, Ei Compendex and Scopus.

ICBDA2018 has been included in the IEEE Xplore!
Papers of ICBDA2017, ICBDA2016 are indexed by Ei Compendex and Scopus!

Call for Paper

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

Contact us
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Ms. Jasmine Nieh (聂女士)

Tel: +86-13419999996 (China) 

Email:[email protected]. 

website: http://www.icbda.org