Call For Paper

The 2022 International Conference on Big Data Intelligence and Computing (DataCom 2022) offers an ideal opportunity for researchers, engineers, academics and students from all over the world to bring the latest technological advances and applications in Computer Science and Data Engineering to the Southern Hemisphere, as well as to network and promote the discipline. Cutting edge researchers in this field will present keynote speeches during a three-day program that also features tutorials and technical sessions on theory, analysis, design, testing, and advances within the field of Computer Science and Data Engineering.

This year 2022 International Conference on Big Data Intelligence and Computing (DataCom 2022) is being held Physical and Virtual in the Sheraton Fiji Golf & Beach Resort, Denarau Island, Fiji. The theme for Datacom 2022 is “Data Driven Decision is Another Form of Science”.

Please note that an accepted paper will be published in the proceedings and uploaded to Lecture Notes in Computer Science (LNCS).

SCOPE AND TOPICS​

Topics of interest include, but are not limited to:

The 5Vs of the data landscape: volume, variety, velocity, veracity, value

Software and tools for big data management

Big data economy, QoS and business models

Software, hardware and algorithm co-design, high-performance computing

Infrastructures and systems for big data analytics and managements

Algorithmic, experimental, prototyping and implementation

Data-driven innovation, computational modelling and data integration

Big data for advanced manufacturing and productivity

Green data centers / environmental-friendly perspectives

Software and tools for big data management

Security, privacy and legal issues specific to big data

Scientific discovery and business intelligence

Large-scale recommendation systems and graph analysis

Middleware and tools for big data analytics and managements

Data quality issues: such as validation, metrics, optimizations and consistency

Data intensive computing theorems and technologies

Modelling, simulation and performance evaluation

Computing, scheduling and resource management for sustainability

Complex applications in areas where massive data is generated