Conference Information
BDAI 2024: International Conference on Big Data and Artificial Intelligence
https://www.bdai.net/
Submission Date:
2024-05-30 Extended
Notification Date:
2024-06-20
Conference Date:
2024-07-05
Location:
Beijing, China
Years:
7
Viewed: 15729   Tracked: 19   Attend: 14

Call For Papers
The BDAI 2024 is the premier interdisciplinary platform for the presentation of new advances and research results in the fields of Big Data and Artificial Intelligence. The conference will bring together leading academic scientists, researchers and scholars in the domain of interest from around the world. 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
    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 Applications

    Algorithms and Systems for Big Data Search
    Distributed, and Peer-to-peer Search
    Machine learning based on Big Data
    Visualization Analytics for Big Data

Artificial Intelligence

    Intelligent User Interfaces
    Bayesian Networks
    Soft Computing
    Neural Networks
    Natural Language Processing
    Machine Learning
    Planning and Scheduling
    Knowledge Representation and Reasoning
    Uncertainty in AI
    Model-Based Reasoning
    Ontologies
    Data Mining
    Data Science
    Constraint Satisfaction
    State Space Search
    Case-Based Reasoning
    Cognitive Systems
    Intelligence and Cybersecurity
    Vision and Perception
    Pattern Recognition
    Ambient Intelligence
    AI and Creativity
    Evolutionary Computing
    Fuzzy Systems
    Knowledge-Based System
    Industrial applications of AI
    Hybrid Intelligent Systems
    Visualization
    Deep Learning

Technologies for Computational Communication

    Big Data Analytics for Online Journalism
    Intelligent Technologies for Media
    Intelligent Information Processing and Applications
Last updated by Dunn Carl in 2024-05-11
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