Conference Information
DataCom 2022: International Conference on Big Data Intelligence and Computing
https://www.datacom-ieee.org/
Submission Date:
2022-08-15
Notification Date:
2022-10-15
Conference Date:
2022-12-08
Location:
Denarau Island, Fiji
Years:
6
Viewed: 14324   Tracked: 9   Attend: 7

Call For Papers
Big data is a rapidly expanding research area spanning the fields of computer science and information management, and has become a ubiquitous term in understanding and solving complex problems in different disciplinary fields such as engineering, applied mathematics, medicine, computational biology, healthcare, social networks, finance, business, government, education, transportation and telecommunications.

The goal of the 2022 International Conference on Big Data Intelligence and Computing (DataCom 2022) is to establish an international forum for engineers and scientists to present their ideas and experiences in the fields of Big Data intelligence and computing. DataCom 2022 welcomes paper submissions on innovative work from researchers in academia, industry and government describing original research work in Big Data.

DataCom 2022 will be held on December 08-10, 2022, co-located with FCP 2022 in Sheraton Fiji Golf & Beach Resort, Denarau Island, Fiji

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
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
Last updated by Dou Sun in 2022-07-12
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