Data Science And Interdisciplinary Research Recent Trends And Applications

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Data Science and Interdisciplinary Research: Recent Trends and Applications

Author : Brojo Kishore Mishra
Publisher : Bentham Science Publishers
ISBN 13 : 9815079018
Total Pages : 260 pages
Book Rating : 4.8/5 (15 download)

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Book Synopsis Data Science and Interdisciplinary Research: Recent Trends and Applications by : Brojo Kishore Mishra

Download or read book Data Science and Interdisciplinary Research: Recent Trends and Applications written by Brojo Kishore Mishra and published by Bentham Science Publishers. This book was released on 2023-09-27 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Science and Interdisciplinary Research: Recent Trends and Applications is a compelling edited volume that offers a comprehensive exploration of the latest advancements in data science and interdisciplinary research. Through a collection of 10 insightful chapters, this book showcases diverse models of machine learning, communications, signal processing, and data analysis, illustrating their relevance in various fields. Key Themes: Advanced Rainfall Prediction: Presents a machine learning model designed to tackle the challenging task of predicting rainfall across multiple countries, showcasing its potential to enhance weather forecasting. Efficient Cloud Data Clustering: Explains a novel computational approach for clustering large-scale cloud data, addressing the scalability of cloud computing and data analysis. Secure In-Vehicle Communication: Explores the critical topic of secure communication in in-vehicle networks, emphasizing message authentication and data integrity. Smart Irrigation 4.0: Details a decision model designed for smart irrigation, integrating agricultural sensor data reliability analysis to optimize water usage in precision agriculture. Smart Electricity Monitoring: Highlights machine learning-based smart electricity monitoring and fault detection systems, contributing to the development of smart cities. Enhanced Learning Environments: Investigates the effectiveness of mobile learning in higher education, shedding light on the role of technology in shaping modern learning environments. Coastal Socio-Economy Study: Presents a case study on the socio-economic conditions of coastal fishing communities, offering insights into the livelihoods and challenges they face. Signal Noise Removal: Shows filtering techniques for removing noise from ECG signals, enhancing the accuracy of medical data analysis and diagnosis. Deep Learning in Biomedical Research: Explores deep learning techniques for biomedical research, particularly in the realm of gene identification using Next Generation Sequencing (NGS) data. Medical Diagnosis through Machine Learning: Concludes with a chapter on breast cancer detection using machine learning concepts, demonstrating the potential of AI-driven diagnostics.

Data Science and Interdisciplinary Research

Author : Brojo Kishore Mishra
Publisher : Bentham Science Publishers
ISBN 13 : 9789815079029
Total Pages : 0 pages
Book Rating : 4.0/5 (79 download)

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Book Synopsis Data Science and Interdisciplinary Research by : Brojo Kishore Mishra

Download or read book Data Science and Interdisciplinary Research written by Brojo Kishore Mishra and published by Bentham Science Publishers. This book was released on 2023-09-27 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Science and Interdisciplinary Research: Recent Trends and Applications is a compelling edited volume that offers a comprehensive exploration of the latest advancements in data science and interdisciplinary research. Through a collection of 10 insightful chapters, this book showcases diverse models of machine learning, communications, signal processing, and data analysis, illustrating their relevance in various fields. Key Themes: -Advanced Rainfall Prediction: Presents a machine learning model designed to tackle the challenging task of predicting rainfall across multiple countries, showcasing its potential to enhance weather forecasting. -Efficient Cloud Data Clustering: Explains a novel computational approach for clustering large-scale cloud data, addressing the scalability of cloud computing and data analysis. -Secure In-Vehicle Communication: Explores the critical topic of secure communication in in-vehicle networks, emphasizing message authentication and data integrity. -Smart Irrigation 4.0: Details a decision model designed for smart irrigation, integrating agricultural sensor data reliability analysis to optimize water usage in precision agriculture. -Smart Electricity Monitoring: Highlights machine learning-based smart electricity monitoring and fault detection systems, contributing to the development of smart cities. -Enhanced Learning Environments: Investigates the effectiveness of mobile learning in higher education, shedding light on the role of technology in shaping modern learning environments. -Coastal Socio-Economy Study: Presents a case study on the socio-economic conditions of coastal fishing communities, offering insights into the livelihoods and challenges they face. -Signal Noise Removal: Shows filtering techniques for removing noise from ECG signals, enhancing the accuracy of medical data analysis and diagnosis. -Deep Learning in Biomedical Research: Explores deep learning techniques for biomedical research, particularly in the realm of gene identification using Next Generation Sequencing (NGS) data. -Medical Diagnosis through Machine Learning: Concludes with a chapter on breast cancer detection using machine learning concepts, demonstrating the potential of AI-driven diagnostics.

Data Science: From Research to Application

Author : Mahdi Bohlouli
Publisher : Springer Nature
ISBN 13 : 3030373096
Total Pages : 350 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Data Science: From Research to Application by : Mahdi Bohlouli

Download or read book Data Science: From Research to Application written by Mahdi Bohlouli and published by Springer Nature. This book was released on 2020-01-28 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents outstanding theoretical and practical findings in data science and associated interdisciplinary areas. Its main goal is to explore how data science research can revolutionize society and industries in a positive way, drawing on pure research to do so. The topics covered range from pure data science to fake news detection, as well as Internet of Things in the context of Industry 4.0. Data science is a rapidly growing field and, as a profession, incorporates a wide variety of areas, from statistics, mathematics and machine learning, to applied big data analytics. According to Forbes magazine, “Data Science” was listed as LinkedIn’s fastest-growing job in 2017. This book presents selected papers from the International Conference on Contemporary Issues in Data Science (CiDaS 2019), a professional data science event that provided a real workshop (not “listen-shop”) where scientists and scholars had the chance to share ideas, form new collaborations, and brainstorm on major challenges; and where industry experts could catch up on emerging solutions to help solve their concrete data science problems. Given its scope, the book will benefit not only data scientists and scientists from other domains, but also industry experts, policymakers and politicians.

Artificial Intelligence (AI)

Author : S. Kanimozhi Suguna
Publisher :
ISBN 13 : 9780367759698
Total Pages : pages
Book Rating : 4.7/5 (596 download)

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Book Synopsis Artificial Intelligence (AI) by : S. Kanimozhi Suguna

Download or read book Artificial Intelligence (AI) written by S. Kanimozhi Suguna and published by . This book was released on 2021 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book aims to bring together leading academic scientists, researchers, and research scholars to exchange and share their experiences and research results on all aspects of Artificial Intelligence. The book provides a premier interdisciplinary platform to present practical challenges and adopted solutions. The book addresses the complete functional framework workflow in Artificial Intelligence technology. It explores the basic and high-level concepts and can serve as a manual for the industry for beginners and the more advanced. It covers intelligent and automated systems and its implications to the real-world, and offers data acquisition and case studies related to data-intensive technologies in AI-based applications. The book will be of interest to researchers, professionals, scientists, professors, students of computer science engineering, electronics and communications, as well as information technology"--

Advances in Data Science: Methodologies and Applications

Author : Gloria Phillips-Wren
Publisher : Springer Nature
ISBN 13 : 3030518701
Total Pages : 333 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Advances in Data Science: Methodologies and Applications by : Gloria Phillips-Wren

Download or read book Advances in Data Science: Methodologies and Applications written by Gloria Phillips-Wren and published by Springer Nature. This book was released on 2020-08-26 with total page 333 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big data and data science are transforming our world today in ways we could not have imagined at the beginning of the twenty-first century. The accompanying wave of innovation has sparked advances in healthcare, engineering, business, science, and human perception, among others. The tremendous advances in computing power and intelligent techniques have opened many opportunities for managing data and investigating data in virtually every field, and the scope of data science is expected to grow over the next decade. These future research achievements will solve old challenges and create new opportunities for growth and development. Thus, the research presented in this book is interdisciplinary and covers themes embracing emotions, artificial intelligence, robotics applications, sentiment analysis, smart city problems, assistive technologies, speech melody, and fall and abnormal behavior detection. The book is directed to the researchers, practitioners, professors and students interested in recent advances in methodologies and applications of data science. An introduction to the topic is provided, and research challenges and future research opportunities are highlighted throughout.

Recent Innovative Trends in Interdisciplinary Research Areas Vol. 2

Author : Animesh Kumar Sharma
Publisher : Animesh Kumar Sharma
ISBN 13 : 935811696X
Total Pages : 87 pages
Book Rating : 4.3/5 (581 download)

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Book Synopsis Recent Innovative Trends in Interdisciplinary Research Areas Vol. 2 by : Animesh Kumar Sharma

Download or read book Recent Innovative Trends in Interdisciplinary Research Areas Vol. 2 written by Animesh Kumar Sharma and published by Animesh Kumar Sharma. This book was released on 2023-04-01 with total page 87 pages. Available in PDF, EPUB and Kindle. Book excerpt: An edited book (2nd Volume) is a compilation of academic chapters produced by several authors to share their perspectives and experiences on a certain subject. The chapters of the edited book, which are written by many writers, go through a peer-reviewing procedure to confirm their quality. The volume editor next manages the uniformity of style and material flow. The chapters in the edited book should be the author's own unpublished original works. If they are carefully planned and edited well, edited volumes can be excellent books. A successful edited book is more than just a longer version of a journal issue with a similar theme; it is also a complete intellectual undertaking that should be treated as such from the outset.

Data Science in Engineering and Management

Author : Zdzislaw Polkowski
Publisher : CRC Press
ISBN 13 : 1000520846
Total Pages : 159 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Data Science in Engineering and Management by : Zdzislaw Polkowski

Download or read book Data Science in Engineering and Management written by Zdzislaw Polkowski and published by CRC Press. This book was released on 2021-12-31 with total page 159 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings insight into data science and offers applications and implementation strategies. It includes current developments and future directions and covers the concept of data science along with its origins. It focuses on the mechanisms of extracting data along with classifications, architectural concepts, and business intelligence with predictive analysis. Data Science in Engineering and Management: Applications, New Developments, and Future Trends introduces the concept of data science, its use, and its origins, as well as presenting recent trends, highlighting future developments; discussing problems and offering solutions. It provides an overview of applications on data linked to engineering and management perspectives and also covers how data scientists, analysts, and program managers who are interested in productivity and improving their business can do so by incorporating a data science workflow effectively. This book is useful to researchers involved in data science and can be a reference for future research. It is also suitable as supporting material for undergraduate and graduate-level courses in related engineering disciplines.

Applied Data Science in Tourism

Author : Roman Egger
Publisher : Springer Nature
ISBN 13 : 3030883892
Total Pages : 647 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Applied Data Science in Tourism by : Roman Egger

Download or read book Applied Data Science in Tourism written by Roman Egger and published by Springer Nature. This book was released on 2022-01-31 with total page 647 pages. Available in PDF, EPUB and Kindle. Book excerpt: Access to large data sets has led to a paradigm shift in the tourism research landscape. Big data is enabling a new form of knowledge gain, while at the same time shaking the epistemological foundations and requiring new methods and analysis approaches. It allows for interdisciplinary cooperation between computer sciences and social and economic sciences, and complements the traditional research approaches. This book provides a broad basis for the practical application of data science approaches such as machine learning, text mining, social network analysis, and many more, which are essential for interdisciplinary tourism research. Each method is presented in principle, viewed analytically, and its advantages and disadvantages are weighed up and typical fields of application are presented. The correct methodical application is presented with a "how-to" approach, together with code examples, allowing a wider reader base including researchers, practitioners, and students entering the field. The book is a very well-structured introduction to data science – not only in tourism – and its methodological foundations, accompanied by well-chosen practical cases. It underlines an important insight: data are only representations of reality, you need methodological skills and domain background to derive knowledge from them - Hannes Werthner, Vienna University of Technology Roman Egger has accomplished a difficult but necessary task: make clear how data science can practically support and foster travel and tourism research and applications. The book offers a well-taught collection of chapters giving a comprehensive and deep account of AI and data science for tourism - Francesco Ricci, Free University of Bozen-Bolzano This well-structured and easy-to-read book provides a comprehensive overview of data science in tourism. It contributes largely to the methodological repository beyond traditional methods. - Rob Law, University of Macau

Data Science

Author : Taylor & Francis Group
Publisher : CRC Press
ISBN 13 : 9781032240244
Total Pages : 344 pages
Book Rating : 4.2/5 (42 download)

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Book Synopsis Data Science by : Taylor & Francis Group

Download or read book Data Science written by Taylor & Francis Group and published by CRC Press. This book was released on 2021-12-13 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this book is to provide an internationally respected collection of scientific research methods, technologies and applications in the area of data science. This book can prove useful to the researchers, professors, research students and practitioners as it reports novel research work on challenging topics in the area surrounding data science. In this book, some of the chapters are written in tutorial style concerning machine learning algorithms, data analysis, information design, infographics, relevant applications, etc. The book is structured as follows: - Part I: Data Science: Theory, Concepts, and Algorithms This part comprises five chapters on data Science theory, concepts, techniques and algorithms. - Part II: Data Design and Analysis This part comprises five chapters on data design and analysis. - Part III: Applications and New Trends in Data Science This part comprises four chapters on applications and new trends in data science.

Trends of Data Science and Applications

Author : Siddharth Swarup Rautaray
Publisher : Springer Nature
ISBN 13 : 9813368152
Total Pages : 341 pages
Book Rating : 4.8/5 (133 download)

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Book Synopsis Trends of Data Science and Applications by : Siddharth Swarup Rautaray

Download or read book Trends of Data Science and Applications written by Siddharth Swarup Rautaray and published by Springer Nature. This book was released on 2021-03-21 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes an extended version of selected papers presented at the 11th Industry Symposium 2021 held during January 7–10, 2021. The book covers contributions ranging from theoretical and foundation research, platforms, methods, applications, and tools in all areas. It provides theory and practices in the area of data science, which add a social, geographical, and temporal dimension to data science research. It also includes application-oriented papers that prepare and use data in discovery research. This book contains chapters from academia as well as practitioners on big data technologies, artificial intelligence, machine learning, deep learning, data representation and visualization, business analytics, healthcare analytics, bioinformatics, etc. This book is helpful for the students, practitioners, researchers as well as industry professional.

Data Science Thinking

Author : Longbing Cao
Publisher : Springer
ISBN 13 : 3319950924
Total Pages : 404 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Data Science Thinking by : Longbing Cao

Download or read book Data Science Thinking written by Longbing Cao and published by Springer. This book was released on 2018-08-17 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores answers to the fundamental questions driving the research, innovation and practices of the latest revolution in scientific, technological and economic development: how does data science transform existing science, technology, industry, economy, profession and education? How does one remain competitive in the data science field? What is responsible for shaping the mindset and skillset of data scientists? Data Science Thinking paints a comprehensive picture of data science as a new scientific paradigm from the scientific evolution perspective, as data science thinking from the scientific-thinking perspective, as a trans-disciplinary science from the disciplinary perspective, and as a new profession and economy from the business perspective.

Applications of AI for Interdisciplinary Research

Author : Sukhpal Singh Gill
Publisher : CRC Press
ISBN 13 : 1040110495
Total Pages : 313 pages
Book Rating : 4.0/5 (41 download)

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Book Synopsis Applications of AI for Interdisciplinary Research by : Sukhpal Singh Gill

Download or read book Applications of AI for Interdisciplinary Research written by Sukhpal Singh Gill and published by CRC Press. This book was released on 2024-09-13 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applying artificial intelligence (AI) to new fields has made AI and data science indispensable to researchers in a wide range of fields. The proliferation and successful deployment of AI algorithms are fuelling these changes, which can be seen in fields as disparate as healthcare and emerging Internet of Things (IoT) applications. Machine learning techniques, and AI more broadly, are expected to play an ever-increasing role in the modelling, simulation, and analysis of data from a wide range of fields by the interdisciplinary research community. Ideas and techniques from multidisciplinary research are being utilised to enhance AI; hence, the connection between the two fields is a two-way street at a crossroads. Algorithms for inference, sampling, and optimisation, as well as investigations into the efficacy of deep learning, frequently make use of methods and concepts from other fields of study. Cloud computing platforms may be used to develop and deploy several AI models with high computational power. The intersection between multiple fields, including math, science, and healthcare, is where the most significant theoretical and methodological problems of AI may be found. To gather, integrate, and synthesise the many results and viewpoints in the connected domains, refer to it as interdisciplinary research. In light of this, the theory, techniques, and applications of machine learning and AI, as well as how they are utilised across disciplinary boundaries, are the main areas of this research topic. This book apprises the readers about the important and cutting-edge aspects of AI applications for interdisciplinary research and guides them to apply their acquaintance in the best possible manner This book is formulated with the intent of uncovering the stakes and possibilities involved in using AI through efficient interdisciplinary applications The main objective of this book is to provide scientific and engineering research on technologies in the fields of AI and data science and how they can be related through interdisciplinary applications and similar technologies This book covers various important domains, such as healthcare, the stock market, natural language processing (NLP), real estate, data security, cloud computing, edge computing, data visualisation using cloud platforms, event management systems, IoT, the telecom sector, federated learning, and network performance optimisation. Each chapter focuses on the corresponding subject outline to offer readers a thorough grasp of the concepts and technologies connected to AI and data analytics, and their emerging applications

Advances in Data Science and Computing Technology

Author : Suman Ghosal
Publisher : CRC Press
ISBN 13 : 100056486X
Total Pages : 449 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Advances in Data Science and Computing Technology by : Suman Ghosal

Download or read book Advances in Data Science and Computing Technology written by Suman Ghosal and published by CRC Press. This book was released on 2022-11-24 with total page 449 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume helps to address the genuine 21st century need for advances in data science and computing technology. It provides an abundance of new research and studies on progressive and innovative technologies, including artificial intelligence, communication systems, cyber security applications, data analytics, Internet of Things (IoT), machine learning, power systems, VLSI, embedded systems, and much more. The book presents a variety of interesting and important aspects of data science and computing technologies and methodologies in a wide range of applications, including deep learning, DNA cryptography, classy fuzzy MPPT controller, driving assistance, and safety systems. Novel algorithms and their applications for solving cutting-edge computational and data science problems are included also for an interdisciplinary research perspective. The book addresses recent applications of deep learning and ANN paradigms, the role and impact of big data in the e-commerce and retail sectors, algorithms for load balancing in cloud computing, advances in embedded system based applications, optimization techniques using a MATLAB platform, and techniques for improving information and network security. Advances in Data Science and Computing Technology: Methodology and Applications provides a wealth of valuable information and food for thought on many important issues for data scientists and researchers, industry professionals, and faculty and students in the data and computing sciences.

Advances and Trends in Artificial Intelligence. Theory and Applications

Author : Hamido Fujita
Publisher : Springer Nature
ISBN 13 : 3031368193
Total Pages : 430 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Advances and Trends in Artificial Intelligence. Theory and Applications by : Hamido Fujita

Download or read book Advances and Trends in Artificial Intelligence. Theory and Applications written by Hamido Fujita and published by Springer Nature. This book was released on 2023-07-18 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: This double volume LNAI 13925-13926 constitutes the thoroughly refereed proceedings of the 36th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2023, held in Shanghai, China, in July 2023. The 50 full papers and 20 short papers presented were carefully reviewed and selected from 129 submissions. The IEA/AIE 2023 conference on applications of applied intelligent systems to solve real-life problems in all areas including business and finance, science, engineering, industry, cyberspace, bioinformatics, automation, robotics, medicine and biomedicine, and human-machine interactions.

Empowering Human Dynamics Research with Social Media and Geospatial Data Analytics

Author : Atsushi Nara
Publisher : Springer Nature
ISBN 13 : 3030830101
Total Pages : 295 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Empowering Human Dynamics Research with Social Media and Geospatial Data Analytics by : Atsushi Nara

Download or read book Empowering Human Dynamics Research with Social Media and Geospatial Data Analytics written by Atsushi Nara and published by Springer Nature. This book was released on 2021-09-20 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses theoretical backgrounds, techniques and methodologies, and applications of the current state-of-the-art human dynamics research utilizing social media and geospatial big data. It describes various forms of social media and big data with location information, theory development, data collection and management techniques, and analytical methodologies to conduct human dynamics research including geographic information systems (GIS), spatiotemporal data analytics, text mining and semantic analysis, machine learning, trajectory data analysis, and geovisualization. The book also covers applied interdisciplinary research examples ranging from disaster management, public health, urban geography, and spatiotemporal information diffusion. By providing theoretical foundations, solid empirical research backgrounds, techniques, and methodologies as well as application examples from diverse interdisciplinary fields, this book will be a valuable resource to students, researchers and practitioners who utilize or plan to employ social media and big data in their work.

Encyclopedia of Data Science and Machine Learning

Author : Wang, John
Publisher : IGI Global
ISBN 13 : 1799892212
Total Pages : 3296 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Encyclopedia of Data Science and Machine Learning by : Wang, John

Download or read book Encyclopedia of Data Science and Machine Learning written by Wang, John and published by IGI Global. This book was released on 2023-01-20 with total page 3296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big data and machine learning are driving the Fourth Industrial Revolution. With the age of big data upon us, we risk drowning in a flood of digital data. Big data has now become a critical part of both the business world and daily life, as the synthesis and synergy of machine learning and big data has enormous potential. Big data and machine learning are projected to not only maximize citizen wealth, but also promote societal health. As big data continues to evolve and the demand for professionals in the field increases, access to the most current information about the concepts, issues, trends, and technologies in this interdisciplinary area is needed. The Encyclopedia of Data Science and Machine Learning examines current, state-of-the-art research in the areas of data science, machine learning, data mining, and more. It provides an international forum for experts within these fields to advance the knowledge and practice in all facets of big data and machine learning, emphasizing emerging theories, principals, models, processes, and applications to inspire and circulate innovative findings into research, business, and communities. Covering topics such as benefit management, recommendation system analysis, and global software development, this expansive reference provides a dynamic resource for data scientists, data analysts, computer scientists, technical managers, corporate executives, students and educators of higher education, government officials, researchers, and academicians.

Applications of Big Data Analytics

Author : Mohammed M. Alani
Publisher : Springer
ISBN 13 : 3319764721
Total Pages : 219 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Applications of Big Data Analytics by : Mohammed M. Alani

Download or read book Applications of Big Data Analytics written by Mohammed M. Alani and published by Springer. This book was released on 2018-07-23 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: This timely text/reference reviews the state of the art of big data analytics, with a particular focus on practical applications. An authoritative selection of leading international researchers present detailed analyses of existing trends for storing and analyzing big data, together with valuable insights into the challenges inherent in current approaches and systems. This is further supported by real-world examples drawn from a broad range of application areas, including healthcare, education, and disaster management. The text also covers, typically from an application-oriented perspective, advances in data science in such areas as big data collection, searching, analysis, and knowledge discovery. Topics and features: Discusses a model for data traffic aggregation in 5G cellular networks, and a novel scheme for resource allocation in 5G networks with network slicing Explores methods that use big data in the assessment of flood risks, and apply neural networks techniques to monitor the safety of nuclear power plants Describes a system which leverages big data analytics and the Internet of Things in the application of drones to aid victims in disaster scenarios Proposes a novel deep learning-based health data analytics application for sleep apnea detection, and a novel pathway for diagnostic models of headache disorders Reviews techniques for educational data mining and learning analytics, and introduces a scalable MapReduce graph partitioning approach for high degree vertices Presents a multivariate and dynamic data representation model for the visualization of healthcare data, and big data analytics methods for software reliability assessment This practically-focused volume is an invaluable resource for all researchers, academics, data scientists and business professionals involved in the planning, designing, and implementation of big data analytics projects. Dr. Mohammed M. Alani is an Associate Professor in Computer Engineering and currently is the Provost at Al Khawarizmi International College, Abu Dhabi, UAE. Dr. Hissam Tawfik is a Professor of Computer Science in the School of Computing, Creative Technologies & Engineering at Leeds Beckett University, UK. Dr. Mohammed Saeed is a Professor in Computing and currently is the Vice President for Academic Affairs and Research at the University of Modern Sciences, Dubai, UAE. Dr. Obinna Anya is a Research Staff Member at IBM Research – Almaden, San Jose, CA, USA.