Call for Papers


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