Applications of Big Data in Healthcare

Applications of Big Data in Healthcare
Author: Ashish Khanna,Deepak Gupta,Nilanjan Dey
Publsiher: Academic Press
Total Pages: 310
Release: 2021-03-10
ISBN: 0128204516
Category: Science
Language: EN, FR, DE, ES & NL

Applications of Big Data in Healthcare Book Excerpt:

Applications of Big Data in Healthcare: Theory and Practice begins with the basics of Big Data analysis and introduces the tools, processes and procedures associated with Big Data analytics. The book unites healthcare with Big Data analysis and uses the advantages of the latter to solve the problems faced by the former. The authors present the challenges faced by the healthcare industry, including capturing, storing, searching, sharing and analyzing data. This book illustrates the challenges in the applications of Big Data and suggests ways to overcome them, with a primary emphasis on data repositories, challenges, and concepts for data scientists, engineers and clinicians. The applications of Big Data have grown tremendously within the past few years and its growth can not only be attributed to its competence to handle large data streams but also to its abilities to find insights from complex, noisy, heterogeneous, longitudinal and voluminous data. The main objectives of Big Data in the healthcare sector is to come up with ways to provide personalized healthcare to patients by taking into account the enormous amounts of already existing data. Provides case studies that illustrate the business processes underlying the use of big data and deep learning health analytics to improve health care delivery Supplies readers with a foundation for further specialized study in clinical analysis and data management Includes links to websites, videos, articles and other online content to expand and support the primary learning objectives for each major section of the book

Research Anthology on Big Data Analytics Architectures and Applications

Research Anthology on Big Data Analytics  Architectures  and Applications
Author: Management Association, Information Resources
Publsiher: IGI Global
Total Pages: 1988
Release: 2021-09-24
ISBN: 1668436639
Category: Computers
Language: EN, FR, DE, ES & NL

Research Anthology on Big Data Analytics Architectures and Applications Book Excerpt:

Society is now completely driven by data with many industries relying on data to conduct business or basic functions within the organization. With the efficiencies that big data bring to all institutions, data is continuously being collected and analyzed. However, data sets may be too complex for traditional data-processing, and therefore, different strategies must evolve to solve the issue. The field of big data works as a valuable tool for many different industries. The Research Anthology on Big Data Analytics, Architectures, and Applications is a complete reference source on big data analytics that offers the latest, innovative architectures and frameworks and explores a variety of applications within various industries. Offering an international perspective, the applications discussed within this anthology feature global representation. Covering topics such as advertising curricula, driven supply chain, and smart cities, this research anthology is ideal for data scientists, data analysts, computer engineers, software engineers, technologists, government officials, managers, CEOs, professors, graduate students, researchers, and academicians.

Application of Big Data in Petroleum Streams

Application of Big Data in Petroleum Streams
Author: Jay Gohil,Manan Shah
Publsiher: CRC Press
Total Pages: 182
Release: 2022-05-08
ISBN: 1000580008
Category: Computers
Language: EN, FR, DE, ES & NL

Application of Big Data in Petroleum Streams Book Excerpt:

The book aims to provide comprehensive knowledge and information pertaining to application or implementation of big data in the petroleum industry and its operations (such as exploration, production, refining and finance). The book covers intricate aspects of big data such as 6Vs, benefits, applications, implementation, research work and real-world implementation pertaining to each petroleum-associated operation in a concise manner that aids the reader to apprehend the overview of big data’s role in the industry. The book resonates with readers who wish to understand the intricate details of working with big data (along with data science, machine learning and artificial intelligence) in general and how it affects and impacts an entire industry. As the book builds various concepts of big data from scratch to industry level, readers who wish to gain big data-associated knowledge of industry level in simple language from the very fundamentals would find this a wonderful read.

Big Data Concepts Methodologies Tools and Applications

Big Data  Concepts  Methodologies  Tools  and Applications
Author: Management Association, Information Resources
Publsiher: IGI Global
Total Pages: 2478
Release: 2016-04-20
ISBN: 1466698411
Category: Computers
Language: EN, FR, DE, ES & NL

Big Data Concepts Methodologies Tools and Applications Book Excerpt:

The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data. Big Data: Concepts, Methodologies, Tools, and Applications is a multi-volume compendium of research-based perspectives and solutions within the realm of large-scale and complex data sets. Taking a multidisciplinary approach, this publication presents exhaustive coverage of crucial topics in the field of big data including diverse applications, storage solutions, analysis techniques, and methods for searching and transferring large data sets, in addition to security issues. Emphasizing essential research in the field of data science, this publication is an ideal reference source for data analysts, IT professionals, researchers, and academics.

Applications of Big Data in Large and Small Scale Systems

Applications of Big Data in Large  and Small Scale Systems
Author: Goundar, Sam,Rayani, Praveen Kumar
Publsiher: IGI Global
Total Pages: 377
Release: 2021-01-15
ISBN: 1799866750
Category: Computers
Language: EN, FR, DE, ES & NL

Applications of Big Data in Large and Small Scale Systems Book Excerpt:

With new technologies, such as computer vision, internet of things, mobile computing, e-governance and e-commerce, and wide applications of social media, organizations generate a huge volume of data and at a much faster rate than several years ago. Big data in large-/small-scale systems, characterized by high volume, diversity, and velocity, increasingly drives decision making and is changing the landscape of business intelligence. From governments to private organizations, from communities to individuals, all areas are being affected by this shift. There is a high demand for big data analytics that offer insights for computing efficiency, knowledge discovery, problem solving, and event prediction. To handle this demand and this increase in big data, there needs to be research on innovative and optimized machine learning algorithms in both large- and small-scale systems. Applications of Big Data in Large- and Small-Scale Systems includes state-of-the-art research findings on the latest development, up-to-date issues, and challenges in the field of big data and presents the latest innovative and intelligent applications related to big data. This book encompasses big data in various multidisciplinary fields from the medical field to agriculture, business research, and smart cities. While highlighting topics including machine learning, cloud computing, data visualization, and more, this book is a valuable reference tool for computer scientists, data scientists and analysts, engineers, practitioners, stakeholders, researchers, academicians, and students interested in the versatile and innovative use of big data in both large-scale and small-scale systems.

Big Data and Artificial Intelligence for Healthcare Applications

Big Data and Artificial Intelligence for Healthcare Applications
Author: Ankur Saxena,Nicolas Brault,Shazia Rashid
Publsiher: CRC Press
Total Pages: 286
Release: 2021-06-15
ISBN: 1000387313
Category: Computers
Language: EN, FR, DE, ES & NL

Big Data and Artificial Intelligence for Healthcare Applications Book Excerpt:

This book covers a wide range of topics on the role of Artificial Intelligence, Machine Learning, and Big Data for healthcare applications and deals with the ethical issues and concerns associated with it. This book explores the applications in different areas of healthcare and highlights the current research. "Big Data and Artificial Intelligence for Healthcare Applications" covers healthcare big data analytics, mobile health and personalized medicine, clinical trial data management and presents how Artificial Intelligence can be used for early disease diagnosis prediction and prognosis. It also offers some case studies that describes the application of Artificial Intelligence and Machine Learning in healthcare. Researchers, healthcare professionals, data scientists, systems engineers, students, programmers, clinicians, and policymakers will find this book of interest.

Medical Big Data and Internet of Medical Things

Medical Big Data and Internet of Medical Things
Author: Aboul Ella Hassanien,Nilanjan Dey,Surekha Borra
Publsiher: CRC Press
Total Pages: 340
Release: 2018-10-25
ISBN: 135103037X
Category: Computers
Language: EN, FR, DE, ES & NL

Medical Big Data and Internet of Medical Things Book Excerpt:

Big data and the Internet of Things (IoT) play a vital role in prediction systems used in biological and medical applications, particularly for resolving issues related to disease biology at different scales. Modelling and integrating medical big data with the IoT helps in building effective prediction systems for automatic recommendations of diagnosis and treatment. The ability to mine, process, analyse, characterize, classify and cluster a variety and wide volume of medical data is a challenging task. There is a great demand for the design and development of methods dealing with capturing and automatically analysing medical data from imaging systems and IoT sensors. Addressing analytical and legal issues, and research on integration of big data analytics with respect to clinical practice and clinical utility, architectures and clustering techniques for IoT data processing, effective frameworks for removal of misclassified instances, practicality of big data analytics, methodological and technical issues, potential of Hadoop in managing healthcare data is the need of the hour. This book integrates different aspects used in the field of healthcare such as big data, IoT, soft computing, machine learning, augmented reality, organs on chip, personalized drugs, implantable electronics, integration of bio-interfaces, and wearable sensors, devices, practical body area network (BAN) and architectures of web systems. Key Features: Addresses various applications of Medical Big Data and Internet of Medical Things in real time environment Highlights recent innovations, designs, developments and topics of interest in machine learning techniques for classification of medical data Provides background and solutions to existing challenges in Medical Big Data and Internet of Medical Things Provides optimization techniques and programming models to parallelize the computationally intensive tasks in data mining of medical data Discusses interactions, advantages, limitations, challenges and future perspectives of IoT based remote healthcare monitoring systems. Includes data privacy and security analysis of cryptography methods for the Web of Medical Things (WoMT) Presents case studies on the next generation medical chair, electronic nose and pill cam are also presented.

Advanced Deep Learning Applications in Big Data Analytics

Advanced Deep Learning Applications in Big Data Analytics
Author: Bouarara, Hadj Ahmed
Publsiher: IGI Global
Total Pages: 351
Release: 2020-10-16
ISBN: 1799827933
Category: Computers
Language: EN, FR, DE, ES & NL

Advanced Deep Learning Applications in Big Data Analytics Book Excerpt:

Interest in big data has swelled within the scholarly community as has increased attention to the internet of things (IoT). Algorithms are constructed in order to parse and analyze all this data to facilitate the exchange of information. However, big data has suffered from problems in connectivity, scalability, and privacy since its birth. The application of deep learning algorithms has helped process those challenges and remains a major issue in today’s digital world. Advanced Deep Learning Applications in Big Data Analytics is a pivotal reference source that aims to develop new architecture and applications of deep learning algorithms in big data and the IoT. Highlighting a wide range of topics such as artificial intelligence, cloud computing, and neural networks, this book is ideally designed for engineers, data analysts, data scientists, IT specialists, programmers, marketers, entrepreneurs, researchers, academicians, and students.

Computational and Statistical Methods for Analysing Big Data with Applications

Computational and Statistical Methods for Analysing Big Data with Applications
Author: Shen Liu,James Mcgree,Zongyuan Ge,Yang Xie
Publsiher: Academic Press
Total Pages: 206
Release: 2015-11-20
ISBN: 0081006519
Category: Mathematics
Language: EN, FR, DE, ES & NL

Computational and Statistical Methods for Analysing Big Data with Applications Book Excerpt:

Due to the scale and complexity of data sets currently being collected in areas such as health, transportation, environmental science, engineering, information technology, business and finance, modern quantitative analysts are seeking improved and appropriate computational and statistical methods to explore, model and draw inferences from big data. This book aims to introduce suitable approaches for such endeavours, providing applications and case studies for the purpose of demonstration. Computational and Statistical Methods for Analysing Big Data with Applications starts with an overview of the era of big data. It then goes onto explain the computational and statistical methods which have been commonly applied in the big data revolution. For each of these methods, an example is provided as a guide to its application. Five case studies are presented next, focusing on computer vision with massive training data, spatial data analysis, advanced experimental design methods for big data, big data in clinical medicine, and analysing data collected from mobile devices, respectively. The book concludes with some final thoughts and suggested areas for future research in big data. Advanced computational and statistical methodologies for analysing big data are developed Experimental design methodologies are described and implemented to make the analysis of big data more computationally tractable Case studies are discussed to demonstrate the implementation of the developed methods Five high-impact areas of application are studied: computer vision, geosciences, commerce, healthcare and transportation Computing code/programs are provided where appropriate

Demystifying Big Data and Machine Learning for Healthcare

Demystifying Big Data and Machine Learning for Healthcare
Author: Prashant Natarajan,John C. Frenzel,Detlev H. Smaltz
Publsiher: CRC Press
Total Pages: 210
Release: 2017-02-15
ISBN: 1315389312
Category: Medical
Language: EN, FR, DE, ES & NL

Demystifying Big Data and Machine Learning for Healthcare Book Excerpt:

Healthcare transformation requires us to continually look at new and better ways to manage insights – both within and outside the organization today. Increasingly, the ability to glean and operationalize new insights efficiently as a byproduct of an organization’s day-to-day operations is becoming vital to hospitals and health systems ability to survive and prosper. One of the long-standing challenges in healthcare informatics has been the ability to deal with the sheer variety and volume of disparate healthcare data and the increasing need to derive veracity and value out of it. Demystifying Big Data and Machine Learning for Healthcare investigates how healthcare organizations can leverage this tapestry of big data to discover new business value, use cases, and knowledge as well as how big data can be woven into pre-existing business intelligence and analytics efforts. This book focuses on teaching you how to: Develop skills needed to identify and demolish big-data myths Become an expert in separating hype from reality Understand the V’s that matter in healthcare and why Harmonize the 4 C’s across little and big data Choose data fi delity over data quality Learn how to apply the NRF Framework Master applied machine learning for healthcare Conduct a guided tour of learning algorithms Recognize and be prepared for the future of artificial intelligence in healthcare via best practices, feedback loops, and contextually intelligent agents (CIAs) The variety of data in healthcare spans multiple business workflows, formats (structured, un-, and semi-structured), integration at point of care/need, and integration with existing knowledge. In order to deal with these realities, the authors propose new approaches to creating a knowledge-driven learning organization-based on new and existing strategies, methods and technologies. This book will address the long-standing challenges in healthcare informatics and provide pragmatic recommendations on how to deal with them.

Big Data Applications in Industry 4 0

Big Data Applications in Industry 4 0
Author: P. Kaliraj,T. Devi
Publsiher: CRC Press
Total Pages: 446
Release: 2022-02-10
ISBN: 1000537668
Category: Computers
Language: EN, FR, DE, ES & NL

Big Data Applications in Industry 4 0 Book Excerpt:

Industry 4.0 is the latest technological innovation in manufacturing with the goal to increase productivity in a flexible and efficient manner. Changing the way in which manufacturers operate, this revolutionary transformation is powered by various technology advances including Big Data analytics, Internet of Things (IoT), Artificial Intelligence (AI), and cloud computing. Big Data analytics has been identified as one of the significant components of Industry 4.0, as it provides valuable insights for smart factory management. Big Data and Industry 4.0 have the potential to reduce resource consumption and optimize processes, thereby playing a key role in achieving sustainable development. Big Data Applications in Industry 4.0 covers the recent advancements that have emerged in the field of Big Data and its applications. The book introduces the concepts and advanced tools and technologies for representing and processing Big Data. It also covers applications of Big Data in such domains as financial services, education, healthcare, biomedical research, logistics, and warehouse management. Researchers, students, scientists, engineers, and statisticians can turn to this book to learn about concepts, technologies, and applications that solve real-world problems. Features An introduction to data science and the types of data analytics methods accessible today An overview of data integration concepts, methodologies, and solutions A general framework of forecasting principles and applications, as well as basic forecasting models including naïve, moving average, and exponential smoothing models A detailed roadmap of the Big Data evolution and its related technological transformation in computing, along with a brief description of related terminologies The application of Industry 4.0 and Big Data in the field of education The features, prospects, and significant role of Big Data in the banking industry, as well as various use cases of Big Data in banking, finance services, and insurance Implementing a Data Lake (DL) in the cloud and the significance of a data lake in decision making

Web Services Concepts Methodologies Tools and Applications

Web Services  Concepts  Methodologies  Tools  and Applications
Author: Management Association, Information Resources
Publsiher: IGI Global
Total Pages: 2321
Release: 2018-12-07
ISBN: 1522575022
Category: Computers
Language: EN, FR, DE, ES & NL

Web Services Concepts Methodologies Tools and Applications Book Excerpt:

Web service technologies are redefining the way that large and small companies are doing business and exchanging information. Due to the critical need for furthering automation, engagement, and efficiency, systems and workflows are becoming increasingly more web-based. Web Services: Concepts, Methodologies, Tools, and Applications is an innovative reference source that examines relevant theoretical frameworks, current practice guidelines, industry standards and standardization, and the latest empirical research findings in web services. Highlighting a range of topics such as cloud computing, quality of service, and semantic web, this multi-volume book is designed for computer engineers, IT specialists, software designers, professionals, researchers, and upper-level students interested in web services architecture, frameworks, and security.

Big Data in Engineering Applications

Big Data in Engineering Applications
Author: Sanjiban Sekhar Roy,Pijush Samui,Ravinesh Deo,Stavros Ntalampiras
Publsiher: Springer
Total Pages: 384
Release: 2018-05-02
ISBN: 9811084769
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Big Data in Engineering Applications Book Excerpt:

This book presents the current trends, technologies, and challenges in Big Data in the diversified field of engineering and sciences. It covers the applications of Big Data ranging from conventional fields of mechanical engineering, civil engineering to electronics, electrical, and computer science to areas in pharmaceutical and biological sciences. This book consists of contributions from various authors from all sectors of academia and industries, demonstrating the imperative application of Big Data for the decision-making process in sectors where the volume, variety, and velocity of information keep increasing. The book is a useful reference for graduate students, researchers and scientists interested in exploring the potential of Big Data in the application of engineering areas.

Healthcare Administration Concepts Methodologies Tools and Applications

Healthcare Administration  Concepts  Methodologies  Tools  and Applications
Author: Management Association, Information Resources
Publsiher: IGI Global
Total Pages: 1586
Release: 2014-08-31
ISBN: 1466663405
Category: Medical
Language: EN, FR, DE, ES & NL

Healthcare Administration Concepts Methodologies Tools and Applications Book Excerpt:

As information systems become ever more pervasive in an increasing number of fields and professions, workers in healthcare and medicine must take into consideration new advances in technologies and infrastructure that will better enable them to treat their patients and serve their communities. Healthcare Administration: Concepts, Methodologies, Tools, and Applications brings together recent research and case studies in the medical field to explore topics such as hospital management, delivery of patient care, and telemedicine, among others. With a focus on some of the most groundbreaking new developments as well as future trends and critical concerns, this three-volume reference source will be a significant tool for medical practitioners, hospital managers, IT administrators, and others actively engaged in the healthcare field.

Big Data Analytics for Intelligent Healthcare Management

Big Data Analytics for Intelligent Healthcare Management
Author: Nilanjan Dey,Himansu Das,Bighnaraj Naik,H S Behera
Publsiher: Academic Press
Total Pages: 312
Release: 2019-04-15
ISBN: 0128181478
Category: Science
Language: EN, FR, DE, ES & NL

Big Data Analytics for Intelligent Healthcare Management Book Excerpt:

Big Data Analytics for Intelligent Healthcare Management covers both the theory and application of hardware platforms and architectures, the development of software methods, techniques and tools, applications and governance, and adoption strategies for the use of big data in healthcare and clinical research. The book provides the latest research findings on the use of big data analytics with statistical and machine learning techniques that analyze huge amounts of real-time healthcare data. Examines the methodology and requirements for development of big data architecture, big data modeling, big data as a service, big data analytics, and more Discusses big data applications for intelligent healthcare management, such as revenue management and pricing, predictive analytics/forecasting, big data integration for medical data, algorithms and techniques, etc. Covers the development of big data tools, such as data, web and text mining, data mining, optimization, machine learning, cloud in big data with Hadoop, big data in IoT, and more

Smart Infrastructure and Applications

Smart Infrastructure and Applications
Author: Rashid Mehmood,Simon See,Iyad Katib,Imrich Chlamtac
Publsiher: Springer
Total Pages: 665
Release: 2019-06-20
ISBN: 3030137058
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Smart Infrastructure and Applications Book Excerpt:

This book provides a multidisciplinary view of smart infrastructure through a range of diverse introductory and advanced topics. The book features an array of subjects that include: smart cities and infrastructure, e-healthcare, emergency and disaster management, Internet of Vehicles, supply chain management, eGovernance, and high performance computing. The book is divided into five parts: Smart Transportation, Smart Healthcare, Miscellaneous Applications, Big Data and High Performance Computing, and Internet of Things (IoT). Contributions are from academics, researchers, and industry professionals around the world. Features a broad mix of topics related to smart infrastructure and smart applications, particularly high performance computing, big data, and artificial intelligence; Includes a strong emphasis on methodological aspects of infrastructure, technology and application development; Presents a substantial overview of research and development on key economic sectors including healthcare and transportation.

Adaptive Health Management Information Systems Concepts Cases and Practical Applications

Adaptive Health Management Information Systems  Concepts  Cases  and Practical Applications
Author: Joseph Tan
Publsiher: Jones & Bartlett Learning
Total Pages: 490
Release: 2019-09-17
ISBN: 1284153894
Category: Medical
Language: EN, FR, DE, ES & NL

Adaptive Health Management Information Systems Concepts Cases and Practical Applications Book Excerpt:

Adaptive Health Management Information Systems, Fourth Edition is a thorough resource for a broad range of healthcare professionals–from informaticians, physicians and nurses, to pharmacists, public health and allied health professionals–who need to keep pace the digital transformation of health care. Wholly revised, updated, and expanded in scope, the fourth edition covers the latest developments in the field of health management information systems (HMIS) including big data analytics and machine learning in health care; precision medicine; digital health commercialization; supply chain management; informatics for pharmacy and public health; digital health leadership; cybersecurity; and social media analytics.

Handbook on Intelligent Healthcare Analytics

Handbook on Intelligent Healthcare Analytics
Author: A. Jaya,K. Kalaiselvi,Dinesh Goyal,Dhiya Al-Jumeily
Publsiher: John Wiley & Sons
Total Pages: 448
Release: 2022-05-09
ISBN: 1119792533
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Handbook on Intelligent Healthcare Analytics Book Excerpt:

HANDBOOK OF INTELLIGENT HEALTHCARE ANALYTICS The book explores the various recent tools and techniques used for deriving knowledge from healthcare data analytics for researchers and practitioners. The power of healthcare data analytics is being increasingly used in the industry. Advanced analytics techniques are used against large data sets to uncover hidden patterns, unknown correlations, market trends, customer preferences, and other useful information. A Handbook on Intelligent Healthcare Analytics covers both the theory and application of the tools, techniques, and algorithms for use in big data in healthcare and clinical research. It provides the most recent research findings to derive knowledge using big data analytics, which helps to analyze huge amounts of real-time healthcare data, the analysis of which can provide further insights in terms of procedural, technical, medical, and other types of improvements in healthcare. In addition, the reader will find in this Handbook: Innovative hybrid machine learning and deep learning techniques applied in various healthcare data sets, as well as various kinds of machine learning algorithms existing such as supervised, unsupervised, semi-supervised, reinforcement learning, and guides how readers can implement the Python environment for machine learning; An exploration of predictive analytics in healthcare; The various challenges for smart healthcare, including privacy, confidentiality, authenticity, loss of information, attacks, etc., that create a new burden for providers to maintain compliance with healthcare data security. In addition, this book also explores various sources of personalized healthcare data and the commercial platforms for healthcare data analytics. Audience Healthcare professionals, researchers, and practitioners who wish to figure out the core concepts of smart healthcare applications and the innovative methods and technologies used in healthcare will all benefit from this book.

Routledge Handbook of Health Geography

Routledge Handbook of Health Geography
Author: Valorie A. Crooks,Gavin J. Andrews,Jamie Pearce
Publsiher: Routledge
Total Pages: 386
Release: 2018-06-14
ISBN: 1351598538
Category: Science
Language: EN, FR, DE, ES & NL

Routledge Handbook of Health Geography Book Excerpt:

The places of our daily life affect our health, well-being, and receipt of health care in complex ways. The connection between health and place has been acknowledged for centuries, and the contemporary discipline of health geography sets as its core mission to uncover and explicate all facets of this connection. The Routledge Handbook of Health Geography features 52 chapters from leading international thinkers that collectively characterize the breadth and depth of current thinking on the health–place connection. It will be of interest to students seeking an introduction to health geography as well as multidisciplinary health scholars looking to explore the intersection between health and place. This book provides a coherent synthesis of scholarship in health geography as well as multidisciplinary insights into cutting-edge research. It explores the key concepts central to appreciating the ways in which place influences our health, from the micro-space of the body to the macro-scale of entire world regions, in order to articulate historical and contemporary aspects of this influence.

High Performance Modelling and Simulation for Big Data Applications

High Performance Modelling and Simulation for Big Data Applications
Author: Joanna Kołodziej,Horacio González-Vélez
Publsiher: Springer
Total Pages: 352
Release: 2019-03-25
ISBN: 3030162729
Category: Computers
Language: EN, FR, DE, ES & NL

High Performance Modelling and Simulation for Big Data Applications Book Excerpt:

This open access book was prepared as a Final Publication of the COST Action IC1406 “High-Performance Modelling and Simulation for Big Data Applications (cHiPSet)“ project. Long considered important pillars of the scientific method, Modelling and Simulation have evolved from traditional discrete numerical methods to complex data-intensive continuous analytical optimisations. Resolution, scale, and accuracy have become essential to predict and analyse natural and complex systems in science and engineering. When their level of abstraction raises to have a better discernment of the domain at hand, their representation gets increasingly demanding for computational and data resources. On the other hand, High Performance Computing typically entails the effective use of parallel and distributed processing units coupled with efficient storage, communication and visualisation systems to underpin complex data-intensive applications in distinct scientific and technical domains. It is then arguably required to have a seamless interaction of High Performance Computing with Modelling and Simulation in order to store, compute, analyse, and visualise large data sets in science and engineering. Funded by the European Commission, cHiPSet has provided a dynamic trans-European forum for their members and distinguished guests to openly discuss novel perspectives and topics of interests for these two communities. This cHiPSet compendium presents a set of selected case studies related to healthcare, biological data, computational advertising, multimedia, finance, bioinformatics, and telecommunications.