IEEE 10th International Conference on Big Data and Artificial Intelligence (BDAI 2027)

The 9th International Conference on Big Data and Artificial Intelligence (IEEE 10th International Conference on Big Data and Artificial Intelligence (BDAI 2027)) presents advances in big data architectures, analytics, management, security, and artificial intelligence applications across industries.

Key Topics

• Big Data Architectures
  • Big Data as a Service
  • Cloud Computing Techniques for Big Data
  • Big Data in Mobile and Pervasive Computing
  • Big Data Open Platforms
• Big Data Models and Algorithms
  • Algorithms and Programming Techniques for Big Data Processing
  • Foundational Models for Big Data
  • Representation Formats for Multimedia Big Data
  • Big Data Analytics and Metrics
• Big Data Protection, Integrity and Privacy
  • Privacy Preserving Big Data Analytics
  • Models and Languages for Big Data Protection
  • Big Data Encryption
• Big Data Management
  • Big Data Quality and Provenance Control
  • Big Data Persistence and Preservation
  • Management Issues of Social Network Big Data
• Big Data Search and Mining
  • Distributed, and Peer-to-peer Search
  • Algorithms and Systems for Big Data Search
  • Visualization Analytics for Big Data
  • Machine learning based on Big Data
• Security Applications of Big Data
  • Collaborative Threat Detection using Big Data Analytics
  • Anomaly Detection in Very Large Scale Systems
• Artificial Intelligence
  • Bayesian Networks
  • Intelligent User Interfaces
  • Neural Networks
  • Soft Computing
  • Machine Learning
  • Natural Language Processing
  • Knowledge Representation and Reasoning
  • Planning and Scheduling
  • Model-Based Reasoning
  • Uncertainty in AI
  • Data Mining
  • Ontologies
  • Constraint Satisfaction
  • Data Science
  • Case-Based Reasoning
  • State Space Search
  • Intelligence and Cybersecurity
  • Cognitive Systems
  • Pattern Recognition
  • Vision and Perception
  • AI and Creativity
  • Ambient Intelligence
  • Fuzzy Systems
  • Evolutionary Computing
  • Industrial applications of AI
  • Knowledge-Based System
  • Visualization
  • Hybrid Intelligent Systems
  • Deep Learning