Proceedings of the 5th International Conference on Big Data and Internet of Things

This book is a collection of papers from the 5th International Conference on Big Data Cloud and Internet of Things,BDIoT 2021, covering various research areas such as big data, cloud computing, cybersecurity, machine learning, deep learning, e-learning, IoT, reinforcement learning, information systems, social media, and natural language processing.

Format: Paperback / softback
Length: 602 pages
Publication date: 03 July 2022
Publisher: Springer International Publishing AG

This comprehensive volume presents a diverse collection of scholarly papers exploring the cutting-edge research domains of big data, cloud computing, cybersecurity, machine learning, deep learning, e-learning, Internet of Things, reinforcement learning, information systems, social media, and natural language processing. The papers included in this book were originally presented at the 5th International Conference on Big Data, Cloud, and Internet of Things, BDIoT 2021, which took place from March 17 to 18, 2021, at ENSIAS, Mohammed V University, in Rabat, Morocco.

Big data refers to the vast amounts of structured and unstructured data generated by various sources, such as social media, sensors, and mobile devices. It presents significant challenges and opportunities for data analysis, storage, and retrieval. Cloud computing provides scalable and flexible infrastructure for storing and processing big data, allowing organizations to efficiently manage and analyze large datasets.

Cybersecurity is a critical concern in the digital age, as cyber threats continue to evolve and target individuals, organizations, and governments. The papers in this book explore various aspects of cybersecurity, including vulnerability assessment, intrusion detection systems, and network security. Machine learning is a branch of artificial intelligence that involves the development of algorithms that can learn from data and make predictions or decisions. It has applications in various fields, such as healthcare, finance, and transportation.

Deep learning is a subset of machine learning that involves the use of neural networks with multiple layers to model complex data patterns. It has achieved remarkable results in image recognition, speech recognition, and natural language processing. E-learning is the use of technology to deliver education and training remotely. It has become increasingly popular due to its flexibility and accessibility, allowing individuals to learn at their own pace and from anywhere in the world.

The Internet of Things (IoT) refers to the network of physical devices, such as sensors, cameras, and smart appliances, that are connected to the internet and can communicate with each other. The papers in this book explore various aspects of IoT, including device management, data analytics, and security. Reinforcement learning is a type of machine learning that involves learning from feedback and making decisions in an environment. It has applications in robotics, game playing, and autonomous systems.

Information systems are designed to manage and process data and information. They include databases, information management systems, and enterprise resource planning systems. The papers in this book explore various aspects of information systems, including data governance, data privacy, and information security. Social media is a platform that allows individuals to share information, connect with others, and create communities. The papers in this book explore various aspects of social media, including social media marketing, social media addiction, and social media impact on mental health.

Natural language processing (NLP) is a branch of computer science that involves the processing and analysis of human language. It has applications in various fields, such as speech recognition, text analysis, and machine translation. The papers in this book explore various aspects of NLP, including language modeling, sentiment analysis, and language translation.

The papers in this book cover a wide range of topics and provide insights into the latest research and developments in these fields. They are written by experts in their respective fields and are intended to be a valuable resource for researchers, practitioners, and students.

Big data, cloud computing, cybersecurity, machine learning, deep learning, e-learning, Internet of Things, reinforcement learning, information system, social media, and natural language processing are some of the most important and rapidly evolving research areas in today's digital world. This comprehensive volume presents a diverse collection of scholarly papers exploring these domains, which were originally presented at the 5th International Conference on Big Data, Cloud, and Internet of Things, BDIoT 2021, held at ENSIAS, Mohammed V University, in Rabat, Morocco.

Big data refers to the vast amounts of structured and unstructured data generated by various sources, such as social media, sensors, and mobile devices. It presents significant challenges and opportunities for data analysis, storage, and retrieval. Cloud computing provides scalable and flexible infrastructure for storing and processing big data, allowing organizations to efficiently manage and analyze large datasets.

Cybersecurity is a critical concern in the digital age, as cyber threats continue to evolve and target individuals, organizations, and governments. The papers in this book explore various aspects of cybersecurity, including vulnerability assessment, intrusion detection systems, and network security. Machine learning is a branch of artificial intelligence that involves the development of algorithms that can learn from data and make predictions or decisions. It has applications in various fields, such as healthcare, finance, and transportation.

Deep learning is a subset of machine learning that involves the use of neural networks with multiple layers to model complex data patterns. It has achieved remarkable results in image recognition, speech recognition, and natural language processing. E-learning is the use of technology to deliver education and training remotely. It has become increasingly popular due to its flexibility and accessibility, allowing individuals to learn at their own pace and from anywhere in the world.

The Internet of Things (IoT) refers to the network of physical devices, such as sensors, cameras, and smart appliances, that are connected to the internet and can communicate with each other. The papers in this book explore various aspects of IoT, including device management, data analytics, and security. Reinforcement learning is a type of machine learning that involves learning from anywhere in the world. It has applications in robotics, game playing, and autonomous systems.

Information systems are designed to manage and process data and information. They include databases, information management systems, and enterprise resource planning systems. The papers in this book explore various aspects of information systems, including data governance.

Social media is a platform that allows individuals to share information, connect with others, and create communities. The papers in this book explore various aspects of social media, including social media marketing, social media addiction, and social media impact on mental health.

Natural language processing (NLP) is a branch of computer science that involves the processing and analysis of human language. It has applications in various fields, such as speech recognition, text analysis, and machine translation. The papers in this book explore various aspects of NLP, including language modeling, sentiment analysis, and language translation.

The papers in this book cover a wide range of topics and provide insights into the latest research and developments in these fields. They are written by experts in their respective fields and are intended to be a valuable resource for researchers, practitioners, and students.

In conclusion, this comprehensive volume presents a diverse collection of scholarly papers exploring the cutting-edge research domains of big data, cloud computing, cybersecurity, machine learning, deep learning, e-learning, Internet of Things, reinforcement learning, information systems, social media, and natural language processing. The papers included in this book were originally presented at the 5th International Conference on Big Data, Cloud, and Internet of Things, BDIoT 2021, held at ENSIAS, Mohammed V University, in Rabat, Morocco. These research areas are crucial for advancing our understanding of the digital world and developing innovative solutions to address the challenges and opportunities that arise in this rapidly evolving landscape.

Weight: 926g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031079689
Edition number: 1st ed. 2022