Proceedings of 5th International Conference on Big Data Analysis and Data Mining 2018
Proceedings of 5th International Conference on Big Data Analysis and Data Mining 2018

Author: ConferenceSeries

Publisher: ConferenceSeries

Published:

Total Pages: 90

ISBN-13:

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June 20-22, 2018 Rome, Italy Key Topics : Data Mining Applications in Science, Engineering, Healthcare and Medicine, Big Data in Nursing Research, Data Mining and Machine Learning, Big Data Analytics, Optimization and Big Data, Big data technologies, Big Data algorithm, Big Data Applications, Forecasting from Big Data, Data Mining Methods and Algorithms, Artificial Intelligence, Data privacy and ethics, Data Warehousing, Data Mining Tools and Software, Data Mining Tasks and Processes, Data Mining analysis, Cloud computing, Internet of things (IOT), Social network analysis, Complexity and algorithms, Business Analytics, Open data, New visualization techniques, Search and data mining, Frequent pattern mining, Clustering, Others

Big Data Analysis and Deep Learning Applications
Big Data Analysis and Deep Learning Applications

Author: Thi Thi Zin

Publisher: Springer

Published: 2018-06-06

Total Pages: 388

ISBN-13: 9811308691

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This book presents a compilation of selected papers from the first International Conference on Big Data Analysis and Deep Learning Applications (ICBDL 2018), and focuses on novel techniques in the fields of big data analysis, machine learning, system monitoring, image processing, conventional neural networks, communication, industrial information, and their applications. Readers will find insights to help them realize more efficient algorithms and systems used in real-life applications and contexts, making the book an essential reference guide for academic researchers, professionals, software engineers in the industry, and regulators of aviation authorities.

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

Author: Mohamed Lazaar

Publisher: Springer Nature

Published: 2022-07-03

Total Pages: 600

ISBN-13: 3031079698

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This book is a collection of papers in the research area of big data, cloud computing, cybersecurity, machine learning, deep learning, e-learning, Internet of Things, reinforcement learning, information system, social media and natural language processing. This book includes papers presented at the 5th International Conference on Big Data Cloud and Internet of Things, BDIoT 2021 during March 17–18, 2021, at ENSIAS, Mohammed V University in Rabat, Morocco.

Intelligent Data Analysis
Intelligent Data Analysis

Author: Deepak Gupta

Publisher: John Wiley & Sons

Published: 2020-04-27

Total Pages: 455

ISBN-13: 1119544467

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This book focuses on methods and tools for intelligent data analysis, aimed at narrowing the increasing gap between data gathering and data comprehension, and emphasis will also be given to solving of problems which result from automated data collection, such as analysis of computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring, and so on. This book aims to describe the different approaches of Intelligent Data Analysis from a practical point of view: solving common life problems with data analysis tools.

Advances in Machine Learning for Big Data Analysis
Advances in Machine Learning for Big Data Analysis

Author: Satchidananda Dehuri

Publisher: Springer Nature

Published: 2022-02-24

Total Pages: 254

ISBN-13: 981168930X

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This book focuses on research aspects of ensemble approaches of machine learning techniques that can be applied to address the big data problems. In this book, various advancements of machine learning algorithms to extract data-driven decisions from big data in diverse domains such as the banking sector, healthcare, social media, and video surveillance are presented in several chapters. Each of them has separate functionalities, which can be leveraged to solve a specific set of big data applications. This book is a potential resource for various advances in the field of machine learning and data science to solve big data problems with many objectives. It has been observed from the literature that several works have been focused on the advancement of machine learning in various fields like biomedical, stock prediction, sentiment analysis, etc. However, limited discussions have been carried out on application of advanced machine learning techniques in solving big data problems.

Proceeding of the International Conference on Computer Networks, Big Data and IoT (ICCBI - 2019)
Proceeding of the International Conference on Computer Networks, Big Data and IoT (ICCBI - 2019)

Author: A. Pasumpon Pandian

Publisher: Springer Nature

Published: 2020-03-04

Total Pages: 1019

ISBN-13: 3030431924

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This book presents the proceedings of the International Conference on Computing Networks, Big Data and IoT [ICCBI 2019], held on December 19–20, 2019 at the Vaigai College of Engineering, Madurai, India. Recent years have witnessed the intertwining development of the Internet of Things and big data, which are increasingly deployed in computer network architecture. As society becomes smarter, it is critical to replace the traditional technologies with modern ICT architectures. In this context, the Internet of Things connects smart objects through the Internet and as a result generates big data. This has led to new computing facilities being developed to derive intelligent decisions in the big data environment. The book covers a variety of topics, including information management, mobile computing and applications, emerging IoT applications, distributed communication networks, cloud computing, and healthcare big data. It also discusses security and privacy issues, network intrusion detection, cryptography, 5G/6G networks, social network analysis, artificial intelligence, human–machine interaction, smart home and smart city applications.

The Fusion of Artificial Intelligence and Soft Computing Techniques for Cybersecurity
The Fusion of Artificial Intelligence and Soft Computing Techniques for Cybersecurity

Author: M. A. Jabbar

Publisher: CRC Press

Published: 2024-06-28

Total Pages: 269

ISBN-13: 1000925447

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With the ever-increasing threat of cyber-attacks, especially as the COVID-19 pandemic helped to ramp up the use of digital communications technology, there is a continued need to find new ways to maintain and improve cybersecurity. This new volume investigates the advances in artificial intelligence and soft computing techniques in cybersecurity. It specifically looks at cybersecurity during the COVID-19 pandemic, the use of cybersecurity for cloud intelligent systems, applications of cybersecurity techniques for web applications, and cybersecurity for cyber-physical systems. A diverse array of technologies and techniques are explored for cybersecurity applications, such as the Internet of Things, edge computing, cloud computing, artificial intelligence, soft computing, machine learning, cross-site scripting in web-based services, neural gas (GNG) clustering technique, and more.

Sustainable Development through Machine Learning, AI and IoT
Sustainable Development through Machine Learning, AI and IoT

Author: Pawan Whig

Publisher: Springer Nature

Published: 2023-12-20

Total Pages: 384

ISBN-13: 3031470559

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This book constitutes the revised selected papers of the First International Conference, ICSD 2023, virtually held in Delhi, India, during July 15–16, 2023. The book comprises 31 full papers that were selected from a total of 129 submissions. It provides insights into the latest research and advancements in sustainable development through the integration of machine learning, artificial intelligence, and IoT technologies. It serves as a valuable resource for researchers, practitioners, and policymakers working in the field of sustainable development.

Business Analytics for Professionals
Business Analytics for Professionals

Author: Alp Ustundag

Publisher: Springer Nature

Published: 2022-05-09

Total Pages: 488

ISBN-13: 3030938239

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This book explains concepts and techniques for business analytics and demonstrate them on real life applications for managers and practitioners. It illustrates how machine learning and optimization techniques can be used to implement intelligent business automation systems. The book examines business problems concerning supply chain, marketing & CRM, financial, manufacturing and human resources functions and supplies solutions in Python.

Education, Research and Business Technologies
Education, Research and Business Technologies

Author: Cristian Ciurea

Publisher: Springer Nature

Published: 2022-04-15

Total Pages: 420

ISBN-13: 9811688664

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This book includes high-quality research papers presented at 20th International Conference on Informatics in Economy (IE 2021), which is held in Bucharest, Romania during May 2021. The book covers research results in business informatics and related computer science topics, such as IoT, mobile-embedded and multimedia solutions, e-society, enterprise and business solutions, databases and big data, artificial intelligence, data-mining and machine learning, quantitative economics.