ICAIBD 2021 | Chengdu, China | May 28-31, 2021

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  • Call for papers 征稿范围

Papers describing original work are invited in any of the areas listed below. Acceptance will be based on quality, relevance and originality. Both full research reports and work-in-progress reports are welcome. There will be both oral and poster sessions.

Accepted papers will be submitted for inclusion into IEEE Xplore and indexed by EI Compendex and Scopus.
The scope of ICAIBD covers the following topics:

Artificial Intelligence
Intelligent information systems
Intelligent data mining and farming
Intelligent web-based business
Intelligent agents
Intelligent networks
Intelligent databases
Intelligent user interface
AI and evolutionary algorithms
Intelligent tutoring systems
Reasoning strategies
Distributed AI algorithms and techniques
Distributed AI systems and architectures
Neural networks and applications
Heuristic searching methods
Languages and programming techniques for AI
Constraint-based reasoning and constraint programming
Intelligent information fusion
Learning and adaptive sensor fusion
Search and meta-heuristics
Multisensor data fusion using neural and fuzzy techniques
Integration of AI with other technologies
Evaluation of AI tools
Social intelligence (markets and computational societies)
Social impact of AI
Emerging technologies
Brain models, Brain mapping, Cognitive science
Natural language processing
Fuzzy logic and soft computing
Software tools for AI
Decision support systems
Automated problem solving

 

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

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
Big Data for Business Model Innovation
Big Data Toolkits
Big Data in Business Performance Management
SME-centric Big Data Analytics