STAR Journal of Big Data, SJBD is an open access, peer reviewed international journal that focuses on analyses data and process information collaboratively in all forms of safety, privacy and trust. Big Data can be jointly used with machine learning, AI, statistical, deep analysis and analytics can help identify weaknesses and make improvements based on different analysis and maintaining a high level of security and privacy for data is crucial. SJBDAI journal also focuses on Research on how AI and deep learning are changing the healthcare industry ,Data Warehousing, Internet of Things (IoT), Big data, cloud computing, semantic web, MANET, machine learning, Artificial Intelligence, data mining, AI and robotics, Natural language processing, Image processing, bioinformatics, Network Security and Cryptography, Automating data analyses using Artificial Intelligence, quantum computing, Autonomous Vechicles, Reinforcement Machine Learning Algorithms ,Role of computers in digital forensics, Disease Prediction by Machine Learning Over Big Data From Healthcare Communities. conceptual approaches to improve Research on how AI and deep learning are changing the healthcare industry many other interesting research topics.
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Title page
Authors and addresses
Author’s contribution list
Abstract
Keywords:
Introduction
Materials and Methods
Results
Discussion
Conclusion
Acknowledgments
Conflicts of Interest
References
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