ICCBDAI 2023 is the 4th event in a series of the International conference on Computer, Big Data and Artificial Intelligence.
Data has always accompanied the evolution of human society,
it has carried the efforts of human beings to understand the
world and the great progress we have made. However,
it was not until the emergence of modern information
technology, represented by electronic computers,
which provide automatic methods for data processing,
that the human’s ability to master data and process data has achieved a qualitative leap.
Information technology and its application in all aspects of economic and social development
have turned data into another important strategic resource except for energy.
The conference aims to build a
high-end frontier communication platform in the field
of high performance computing, big data and artificial
intelligence, promote the exchange and cooperation of
experts and scholars at home and abroad, and promote
the innovation and development of big data technology industry.
The conference will bring together experts, scholars and industrial
talents to jointly conduct open discussions on international hot topics,
key technologies, industrial development and challenges, etc.
Big Data Model, Processing Algorithm and Programming Technology
Representation of Multimedia Big Data
Big Data Analysis and Measurement
Big Data Persistence and Preservation
Quality and Source Control of Big Data
Big Data Protection, Integrity and Privacy
Big Data Storage
Big Data Search and Mining
Big Data Visualization Analysis
Innovation of Big Data Business Model
Big Data Security Application
Big Data Open Platform
Big Data and IOT
Big data in fields and industries
Neural Networks and Learning Systems
Robotics and Related Fields
Rough Set Theory: Foundation and Application
Natural Language Processing
AI and IOT
Artificial Intelligence in Modeling and Simulation
Computer Architecture & VLSI
All the articles that submitted to ICCBDAI 2023 and accepted by peer review will be published in a conference proceeding, which will be submitted to Ei Compendex for indexing after being published.