ICIDCA aims to report the engineering features of big data communication technologies that are setting off upsurges in the exploration of algorithms, raising challenges on big data, and its development integration; and novel paradigms in the cross–disciplinary field that need to be constructed by implementing complex innovative ideas from various fields.
Track - 1
DATA COMMUNICATION TECHNOLOGIES
Big Data collection in Communication Networks
Big Data for Network Service Intelligence
Adaptive Techniques for Increased Network Performance
Big Data and Network Security
Distributed Data Analytics
Big Data Search Architectures, Scalability and Efficiency
Mobile and Data Communication Systems
Visualization Analytics for Big Data
Mobility and Big Data
Multimedia and Multi-structured Data
Data Mining and Data Pre-processing
Optimization and Big Data
Mobile and Data Communication Systems
Stream data mining
Data Analysis and Decision Making
Real-world and large-scale practices of big data
Track - 2
DATA COMPUTING
Computational Models for Big Data
Advanced Big Data Learning and Predictive Analytics
Knowledge Extraction, Discovery, and Analysis
Big Data as a Service and Application
Big Data and Machine Learning Applications
Large-Scale Recommendation Systems
Security and Privacy Preserving Big Data Analytics
Social Data Mining and Analytics
Cloud/Grid/Stream Data Mining
Blockchain data management
Sustainable big data computing platforms
Computation in memory/storage/network
High Performance/Parallel Computing for Big Data
Multi-level Data Processing
Intelligent Data Management