Balamurugan Balusamy

Seifedine Kadry

Amir H. Gandomi

Nandhini Abirami R

Learn Big Data from the ground up with this complete and up-to-date resource from leaders in the field Big Data: Concepts, Technology, and Architecture delivers a comprehensive treatment of Big Data tools, terminology, and technology perfectly suited to a wide range of business professionals, academic researchers, and students. Beginning with a fulsome overview of what we mean when we say, “Big Data,” the book moves on to discuss every stage of the lifecycle of Big Data. You’ll learn about the creation of structured, unstructured, and semi-structured data, data storage solutions, traditional database solutions like SQL, data processing, data analytics, machine learning, and data mining. You’ll also discover how specific technologies like Apache Hadoop, SQOOP, and Flume work. Big Data also covers the central topic of big data visualization with Tableau, and you’ll learn how to create scatter plots, histograms, bar, line, and pie charts with that software. Accessibly organized, Big Data includes illuminating case studies throughout the material, showing you how the included concepts have been applied in real-world settings. Some of those concepts include: The common challenges facing big data technology and technologists, like data heterogeneity and incompleteness, data volume and velocity, storage limitations, and privacy concerns Relational and non-relational databases, like RDBMS, NoSQL, and NewSQL databases Virtualizing Big Data through encapsulation, partitioning, and isolating, as well as big data server virtualization Apache software, including Hadoop, Cassandra, Avro, Pig, Mahout, Oozie, and Hive The Big Data analytics lifecycle, including business case evaluation, data preparation, extraction, transformation, analysis, and visualization Perfect for data scientists, data engineers, and database managers, Big Data also belongs on the bookshelves of business intelligence analysts who are required to make decisions based on large volumes of information. Executives and managers who lead teams responsible for keeping or understanding large datasets will also benefit from this book.

Concepts, Technology, and Architecture

Big Data

Yu-Chen Hu

Ninni Singh

Ali Kashif Bashir

This book includes peer-reviewed articles from the 1st International Conference on Intelligent Healthcare and Computational Neural Modelling (ICIHCNN—2022), held on November 30, 2022, at Dehradun, India. It covers the latest research trends and developments in areas of Data Science, Artificial Intelligence, Neural Networks, Cognitive Neuroscience and Machine Learning Applications, Cyber-Physical Systems, and Cybernetics.

Select Articles from ICIHCNN 2022, 30 November, Dehradun, India

Proceedings of the 1st International Conference on Intelligent Healthcare and Computational Neural Modelling

Abdelkhalak El Hami

E-based systems and computer networks are becoming standard practice across all sectors, including health, engineering, business, education, security, and citizen interaction with local and national government. They facilitate rapid and easy dissemination of information and data to assist service providers and end-users, offering existing and newly engineered services, products, and communication channels. Recent years have witnessed rising interest in these computerized systems and procedures, which exploit different forms of electronic media to offer effective and sophisticated solutions to a wide range of real-world applications. With contributions from researchers and practitioners from around the world, this two-volume book discusses and reports on new and important developments in the field of e-systems, covering a wide range of current issues in the design, engineering, and adoption of e-systems. E-Systems for the 21st Century: Concept, Developments and Applications focuses on the use of e-systems in many areas of sectors of contemporary life, including commerce and business, learning and education, health care, government and law, voting, and service businesses. The two-volume book offers comprehensive research and case studies addressing e-system use in health, business, education, security, and citizen interaction with local and national government. Several studies address the use of social networks in providing services as well as issues in maintenance and security of e-systems as well. This collection will be valuable to researchers at universities and other institutions working in these fields, practitioners in the research and development departments in industry, and students conducting research in the areas of e-systems. The book can be used as an advanced reference for a course taught at the undergraduate and graduate-level in business and engineering schools as well.

Concept, Developments, and Applications - Two Volume Set

E-Systems for the 21st Century

Yingchen Yan

Junjie Xia

This is an open access book.2022 3rd International Conference on Big Data Economy and Information Management (BDEIM 2022) will be held from December 2 to 3 in Zhengzhou, China. The conference is co-hosted by Henan University, Henan Academy of Sciences and Henan Association for Science and technology. It dedicates to create a platform for academic communications between specialists and scholars in the fields of Big Data Economy and Information Management. The conference will create a path to establish a research relation for the authors and listeners with opportunities for collaboration and networking among the universities and institutions for promoting research and developing technologies.

Proceedings of the 2022 3rd International Conference on Big Data Economy and Information Management (BDEIM 2022)

This book offers unique insight on structural safety and reliability by combining computational methods that address multiphysics problems, involving multiple equations describing different physical phenomena and multiscale problems, involving discrete sub-problems that together describe important aspects of a system at multiple scales. The book examines a range of engineering domains and problems using dynamic analysis, nonlinear methods, error estimation, finite element analysis and other computational techniques. This book also: · Introduces novel numerical methods · Illustrates new practical applications · Examines recent engineering applications · Presents up-to-date theoretical results · Offers perspective relevant to a wide audience, including teaching faculty/graduate students, researchers and practicing engineers.

Multiscale and Multiphysics Systems

Numerical Methods for Reliability and Safety Assessment

Ford Lumban Gaol

Marie Taylor

Pak Shen Li

The human aspect plays an important role in the social sciences. The behaviour of people has become a vital area of focus in the social sciences as well. Recent Trends in Social and Behaviour Sciences contains papers that were originally presented at the International Congress on Interdisciplinary Behavior and Social Sciences, held 4-5 November 201

Proceedings of the International Congress on Interdisciplinary Behaviour and Social Sciences 2013

Recent Trends in Social and Behaviour Sciences

Pakize Erdogmus

Keshav Sud

Introduction to Data Science and Machine Learning has been created with the goal to provide beginners seeking to learn about data science, data enthusiasts, and experienced data professionals with a deep understanding of data science application development using open-source programming from start to finish. This book is divided into four sections: the first section contains an introduction to the book, the second covers the field of data science, software development, and open-source based embedded hardware; the third section covers algorithms that are the decision engines for data science applications; and the final section brings together the concepts shared in the first three sections and provides several examples of data science applications.

Introduction to Data Science and Machine Learning

Lakshmana Kumar Ramasamy

Blockchain in the Industrial Internet of Things

Neeraj Mohan

Ruchi Singla

Priyanka Kaushal

This book provides a comprehensive, conceptual, and detailed overview of the wide range of applications of Artificial Intelligence, Machine Learning, and Data Science and how these technologies have an impact on various domains such as healthcare, business, industry, security, and how all countries around the world are feeling this impact. The book aims at low-cost solutions which could be implemented even in developing countries. It highlights the significant impact these technologies have on various industries and on us as humans. It provides a virtual picture of forthcoming better human life shadowed by the new technologies and their applications and discusses the impact Data Science has on business applications. The book will also include an overview of the different AI applications and their correlation between each other. The audience is graduate and postgraduate students, researchers, academicians, institutions, and professionals who are interested in exploring key technologies like Artificial Intelligence, Machine Learning, and Data Science.

Future Impact and Well-Being for Society 5.0

Artificial Intelligence, Machine Learning, and Data Science Technologies

Mumtaz Ali

Muhammad Gulistan

Muhammad Azhar

Seungmin Raho

Graphs allows us to study the different patterns of inside the data by making a mental image. The aim of this paper is to develop neutrosophic cubic graph structure which is the extension of neutrosophic cubic graphs. As neutrosophic cubic graphs are defined for one set of edges between vertices while neutrosophic cubic graphs structures are defined for more than one set of edges. Further, we defined some basic operations such as Cartesian product, composition, union, join, cross product, strong product and lexicographic product of two neutrosophic cubic graph structures. Several types of other interesting properties of neutrosophic cubic graph structures are discussed in this paper. Finally, a decision-making algorithm based on the idea of neutrosophic cubic graph structures is constructed. The proposed decision-making algorithm is applied in a decision-making problem to check the validity.

Novel Neutrosophic Cubic Graphs Structures with Application in Decision Making Problems

Seifedine Kadry

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