Handbook Of Research On Engineering Business And Healthcare Applications Of Data Science And Analytics

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Handbook of Research on Engineering, Business, and Healthcare Applications of Data Science and Analytics

Patil, Bhushan,Vohra, Manisha
Handbook of Research on Engineering Business and Healthcare Applications of Data Science and Analytics Book PDF

Author : Patil, Bhushan,Vohra, Manisha
Publisher : IGI Global
Page : 583 pages
File Size : 52,6 Mb
Release : 2020-10-23
Category : Computers
ISBN : 9781799830542

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Handbook of Research on Engineering, Business, and Healthcare Applications of Data Science and Analytics by Patil, Bhushan,Vohra, Manisha Pdf

Analyzing data sets has continued to be an invaluable application for numerous industries. By combining different algorithms, technologies, and systems used to extract information from data and solve complex problems, various sectors have reached new heights and have changed our world for the better. The Handbook of Research on Engineering, Business, and Healthcare Applications of Data Science and Analytics is a collection of innovative research on the methods and applications of data analytics. While highlighting topics including artificial intelligence, data security, and information systems, this book is ideally designed for researchers, data analysts, data scientists, healthcare administrators, executives, managers, engineers, IT consultants, academicians, and students interested in the potential of data application technologies.

Handbook of Research on Big Data Analytics and Artificial Intelligence in the Healthcare Industry

José Machado,Hugo Peixoto,Regina Sousa
Handbook of Research on Big Data Analytics and Artificial Intelligence in the Healthcare Industry Book PDF

Author : José Machado,Hugo Peixoto,Regina Sousa
Publisher : Medical Information Science Reference
Page : 0 pages
File Size : 41,9 Mb
Release : 2022
Category : Electronic
ISBN : 1799891720

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Handbook of Research on Big Data Analytics and Artificial Intelligence in the Healthcare Industry by José Machado,Hugo Peixoto,Regina Sousa Pdf

"The main goal of this book is to contribute to the development of new approaches and reliable enabling technologies in the healthcare industry that will enhance not only human quality of life, but also will lead to healthier, innovative, and secure societies as an all"--

Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry

Chkoniya, Valentina
Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry Book PDF

Author : Chkoniya, Valentina
Publisher : IGI Global
Page : 653 pages
File Size : 51,7 Mb
Release : 2021-06-25
Category : Computers
ISBN : 9781799869863

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Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry by Chkoniya, Valentina Pdf

The contemporary world lives on the data produced at an unprecedented speed through social networks and the internet of things (IoT). Data has been called the new global currency, and its rise is transforming entire industries, providing a wealth of opportunities. Applied data science research is necessary to derive useful information from big data for the effective and efficient utilization to solve real-world problems. A broad analytical set allied with strong business logic is fundamental in today’s corporations. Organizations work to obtain competitive advantage by analyzing the data produced within and outside their organizational limits to support their decision-making processes. This book aims to provide an overview of the concepts, tools, and techniques behind the fields of data science and artificial intelligence (AI) applied to business and industries. The Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry discusses all stages of data science to AI and their application to real problems across industries—from science and engineering to academia and commerce. This book brings together practice and science to build successful data solutions, showing how to uncover hidden patterns and leverage them to improve all aspects of business performance by making sense of data from both web and offline environments. Covering topics including applied AI, consumer behavior analytics, and machine learning, this text is essential for data scientists, IT specialists, managers, executives, software and computer engineers, researchers, practitioners, academicians, and students.

Handbook of Research on Data Science for Effective Healthcare Practice and Administration

Noughabi, Elham Akhond Zadeh,Raahemi, Bijan,Albadvi, Amir,Far, Behrouz H.
Handbook of Research on Data Science for Effective Healthcare Practice and Administration Book PDF

Author : Noughabi, Elham Akhond Zadeh,Raahemi, Bijan,Albadvi, Amir,Far, Behrouz H.
Publisher : IGI Global
Page : 545 pages
File Size : 52,7 Mb
Release : 2017-07-20
Category : Computers
ISBN : 9781522525165

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Handbook of Research on Data Science for Effective Healthcare Practice and Administration by Noughabi, Elham Akhond Zadeh,Raahemi, Bijan,Albadvi, Amir,Far, Behrouz H. Pdf

Data science has always been an effective way of extracting knowledge and insights from information in various forms. One industry that can utilize the benefits from the advances in data science is the healthcare field. The Handbook of Research on Data Science for Effective Healthcare Practice and Administration is a critical reference source that overviews the state of data analysis as it relates to current practices in the health sciences field. Covering innovative topics such as linear programming, simulation modeling, network theory, and predictive analytics, this publication is recommended for all healthcare professionals, graduate students, engineers, and researchers that are seeking to expand their knowledge of efficient techniques for information analysis in the healthcare professions.

Data Science for Healthcare

Sergio Consoli,Diego Reforgiato Recupero,Milan Petković
Data Science for Healthcare Book PDF

Author : Sergio Consoli,Diego Reforgiato Recupero,Milan Petković
Publisher : Springer
Page : 367 pages
File Size : 46,7 Mb
Release : 2019-02-23
Category : Computers
ISBN : 9783030052492

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Data Science for Healthcare by Sergio Consoli,Diego Reforgiato Recupero,Milan Petković Pdf

This book seeks to promote the exploitation of data science in healthcare systems. The focus is on advancing the automated analytical methods used to extract new knowledge from data for healthcare applications. To do so, the book draws on several interrelated disciplines, including machine learning, big data analytics, statistics, pattern recognition, computer vision, and Semantic Web technologies, and focuses on their direct application to healthcare. Building on three tutorial-like chapters on data science in healthcare, the following eleven chapters highlight success stories on the application of data science in healthcare, where data science and artificial intelligence technologies have proven to be very promising. This book is primarily intended for data scientists involved in the healthcare or medical sector. By reading this book, they will gain essential insights into the modern data science technologies needed to advance innovation for both healthcare businesses and patients. A basic grasp of data science is recommended in order to fully benefit from this book.

Handbook of Research on Automated Feature Engineering and Advanced Applications in Data Science

Panda, Mrutyunjaya,Misra, Harekrishna
Handbook of Research on Automated Feature Engineering and Advanced Applications in Data Science Book PDF

Author : Panda, Mrutyunjaya,Misra, Harekrishna
Publisher : IGI Global
Page : 392 pages
File Size : 47,7 Mb
Release : 2021-01-08
Category : Computers
ISBN : 9781799866619

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Handbook of Research on Automated Feature Engineering and Advanced Applications in Data Science by Panda, Mrutyunjaya,Misra, Harekrishna Pdf

In today’s digital world, the huge amount of data being generated is unstructured, messy, and chaotic in nature. Dealing with such data, and attempting to unfold the meaningful information, can be a challenging task. Feature engineering is a process to transform such data into a suitable form that better assists with interpretation and visualization. Through this method, the transformed data is more transparent to the machine learning models, which in turn causes better prediction and analysis of results. Data science is crucial for the data scientist to assess the trade-offs of their decisions regarding the effectiveness of the machine learning model implemented. Investigating the demand in this area today and in the future is a necessity. The Handbook of Research on Automated Feature Engineering and Advanced Applications in Data Science provides an in-depth analysis on both the theoretical and the latest empirical research findings on how features can be extracted and transformed from raw data. The chapters will introduce feature engineering and the recent concepts, methods, and applications with the use of various data types, as well as examine the latest machine learning applications on the data. While highlighting topics such as detection, tracking, selection techniques, and prediction models using data science, this book is ideally intended for research scholars, big data scientists, project developers, data analysts, and computer scientists along with practitioners, researchers, academicians, and students interested in feature engineering and its impact on data.

Handbook of Research on Driving Socioeconomic Development With Big Data

Sun, Zhaohao
Handbook of Research on Driving Socioeconomic Development With Big Data Book PDF

Author : Sun, Zhaohao
Publisher : IGI Global
Page : 449 pages
File Size : 42,9 Mb
Release : 2023-02-24
Category : Business & Economics
ISBN : 9781668459614

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Handbook of Research on Driving Socioeconomic Development With Big Data by Sun, Zhaohao Pdf

Socioeconomic development has drawn increasing attention in academia, industries, and governments. The relationship between big data and its technologies and socioeconomic development has drawn certain attention in academia. Socioeconomic development depends not only on big data, but also on big data technologies. However, the relationship between big data and socioeconomic development is not adequately covered in current research. The Handbook of Research on Driving Socioeconomic Development With Big Data provides an original and innovative understanding of and insight into how the proposed theories, technologies, and methodologies of big data can improve socioeconomic development and sustainable development in terms of business and services, healthcare, the internet of everything, sharing economy, and more. Covering topics such as corporate social responsibility, management applications, and process mining, this major reference work is an excellent resource for data scientists, business leaders and executives, IT professionals, government officials, economists, sociologists, librarians, students, researchers, and academicians.

Intelligent Analytics With Advanced Multi-Industry Applications

Sun, Zhaohao
Intelligent Analytics With Advanced Multi Industry Applications Book PDF

Author : Sun, Zhaohao
Publisher : IGI Global
Page : 392 pages
File Size : 41,8 Mb
Release : 2021-01-08
Category : Computers
ISBN : 9781799849643

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Intelligent Analytics With Advanced Multi-Industry Applications by Sun, Zhaohao Pdf

Many fundamental technological and managerial issues surrounding the development and implementation of intelligent analytics within multi-industry applications remain unsolved. There are still questions surrounding the foundation of intelligent analytics, the elements, the big characteristics, and the effects on business, management, technology, and society. Research is devoted to answering these questions and understanding how intelligent analytics can improve healthcare, mobile commerce, web services, cloud services, blockchain, 5G development, digital transformation, and more. Intelligent Analytics With Advanced Multi-Industry Applications is a critical reference source that explores cutting-edge theories, technologies, and methodologies of intelligent analytics with multi-industry applications and emphasizes the integration of artificial intelligence, business intelligence, big data, and analytics from a perspective of computing, service, and management. This book also provides real-world applications of the proposed concept of intelligent analytics to e-SMACS (electronic, social, mobile, analytics, cloud, and service) commerce and services, healthcare, the internet of things, the sharing economy, cloud computing, blockchain, and Industry 4.0. This book is ideal for scientists, engineers, educators, university students, service and management professionals, policymakers, decision makers, practitioners, stakeholders, researchers, and others who have an interest in how intelligent analytics are being implemented and utilized in diverse industries.

Applications of Big Data in Large- and Small-Scale Systems

Goundar, Sam,Rayani, Praveen Kumar
Applications of Big Data in Large and Small Scale Systems Book PDF

Author : Goundar, Sam,Rayani, Praveen Kumar
Publisher : IGI Global
Page : 377 pages
File Size : 44,8 Mb
Release : 2021-01-15
Category : Computers
ISBN : 9781799866756

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Applications of Big Data in Large- and Small-Scale Systems by Goundar, Sam,Rayani, Praveen Kumar Pdf

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.

New Approaches to Data Analytics and Internet of Things Through Digital Twin

Karthikeyan, P.,Katina, Polinpapilinho F.,Anandaraj, S.P.
New Approaches to Data Analytics and Internet of Things Through Digital Twin Book PDF

Author : Karthikeyan, P.,Katina, Polinpapilinho F.,Anandaraj, S.P.
Publisher : IGI Global
Page : 326 pages
File Size : 41,8 Mb
Release : 2022-09-30
Category : Computers
ISBN : 9781668457245

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New Approaches to Data Analytics and Internet of Things Through Digital Twin by Karthikeyan, P.,Katina, Polinpapilinho F.,Anandaraj, S.P. Pdf

Even though many data analytics tools have been developed in the past years, their usage in the field of cyber twin warrants new approaches that consider various aspects including unified data representation, zero-day attack detection, data sharing across threat detection systems, real-time analysis, sampling, dimensionality reduction, resource-constrained data processing, and time series analysis for anomaly detection. Further study is required to fully understand the opportunities, benefits, and difficulties of data analytics and the internet of things in today’s modern world. New Approaches to Data Analytics and Internet of Things Through Digital Twin considers how data analytics and the internet of things can be used successfully within the field of digital twin as well as the potential future directions of these technologies. Covering key topics such as edge networks, deep learning, intelligent data analytics, and knowledge discovery, this reference work is ideal for computer scientists, industry professionals, researchers, scholars, practitioners, academicians, instructors, and students.

Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms

Milutinovi?, Veljko,Miti?, Nenad,Kartelj, Aleksandar,Kotlar, Miloš
Implementation of Machine Learning Algorithms Using Control Flow and Dataflow Paradigms Book PDF

Author : Milutinovi?, Veljko,Miti?, Nenad,Kartelj, Aleksandar,Kotlar, Miloš
Publisher : IGI Global
Page : 296 pages
File Size : 50,5 Mb
Release : 2022-03-11
Category : Computers
ISBN : 9781799883524

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Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms by Milutinovi?, Veljko,Miti?, Nenad,Kartelj, Aleksandar,Kotlar, Miloš Pdf

Based on current literature and cutting-edge advances in the machine learning field, there are four algorithms whose usage in new application domains must be explored: neural networks, rule induction algorithms, tree-based algorithms, and density-based algorithms. A number of machine learning related algorithms have been derived from these four algorithms. Consequently, they represent excellent underlying methods for extracting hidden knowledge from unstructured data, as essential data mining tasks. Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms presents widely used data-mining algorithms and explains their advantages and disadvantages, their mathematical treatment, applications, energy efficient implementations, and more. It presents research of energy efficient accelerators for machine learning algorithms. Covering topics such as control-flow implementation, approximate computing, and decision tree algorithms, this book is an essential resource for computer scientists, engineers, students and educators of higher education, researchers, and academicians.

Challenges and Applications of Data Analytics in Social Perspectives

Sathiyamoorthi, V.,Elci, Atilla
Challenges and Applications of Data Analytics in Social Perspectives Book PDF

Author : Sathiyamoorthi, V.,Elci, Atilla
Publisher : IGI Global
Page : 324 pages
File Size : 52,8 Mb
Release : 2020-12-04
Category : Computers
ISBN : 9781799825685

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Challenges and Applications of Data Analytics in Social Perspectives by Sathiyamoorthi, V.,Elci, Atilla Pdf

With exponentially increasing amounts of data accumulating in real-time, there is no reason why one should not turn data into a competitive advantage. While machine learning, driven by advancements in artificial intelligence, has made great strides, it has not been able to surpass a number of challenges that still prevail in the way of better success. Such limitations as the lack of better methods, deeper understanding of problems, and advanced tools are hindering progress. Challenges and Applications of Data Analytics in Social Perspectives provides innovative insights into the prevailing challenges in data analytics and its application on social media and focuses on various machine learning and deep learning techniques in improving practice and research. The content within this publication examines topics that include collaborative filtering, data visualization, and edge computing. It provides research ideal for data scientists, data analysts, IT specialists, website designers, e-commerce professionals, government officials, software engineers, social media analysts, industry professionals, academicians, researchers, and students.

Handbook of Data Science Approaches for Biomedical Engineering

Valentina Emilia Balas,Vijender Kumar Solanki,Raghvendra Kumar,Manju Khari
Handbook of Data Science Approaches for Biomedical Engineering Book PDF

Author : Valentina Emilia Balas,Vijender Kumar Solanki,Raghvendra Kumar,Manju Khari
Publisher : Academic Press
Page : 320 pages
File Size : 40,6 Mb
Release : 2019-11-13
Category : Science
ISBN : 9780128183199

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Handbook of Data Science Approaches for Biomedical Engineering by Valentina Emilia Balas,Vijender Kumar Solanki,Raghvendra Kumar,Manju Khari Pdf

Handbook of Data Science Approaches for Biomedical Engineering covers the research issues and concepts of biomedical engineering progress and the ways they are aligning with the latest technologies in IoT and big data. In addition, the book includes various real-time/offline medical applications that directly or indirectly rely on medical and information technology. Case studies in the field of medical science, i.e., biomedical engineering, computer science, information security, and interdisciplinary tools, along with modern tools and the technologies used are also included to enhance understanding. Today, the role of Big Data and IoT proves that ninety percent of data currently available has been generated in the last couple of years, with rapid increases happening every day. The reason for this growth is increasing in communication through electronic devices, sensors, web logs, global positioning system (GPS) data, mobile data, IoT, etc. Provides in-depth information about Biomedical Engineering with Big Data and Internet of Things Includes technical approaches for solving real-time healthcare problems and practical solutions through case studies in Big Data and Internet of Things Discusses big data applications for healthcare management, such as predictive analytics and forecasting, big data integration for medical data, algorithms and techniques to speed up the analysis of big medical data, and more

Multidisciplinary Applications of Natural Science for Drug Discovery and Integrative Medicine

Aslam, Muhammad Shahzad,Ahmad, M Ayaz
Multidisciplinary Applications of Natural Science for Drug Discovery and Integrative Medicine Book PDF

Author : Aslam, Muhammad Shahzad,Ahmad, M Ayaz
Publisher : IGI Global
Page : 418 pages
File Size : 43,8 Mb
Release : 2023-07-10
Category : Medical
ISBN : 9781668494646

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Multidisciplinary Applications of Natural Science for Drug Discovery and Integrative Medicine by Aslam, Muhammad Shahzad,Ahmad, M Ayaz Pdf

The multidisciplinary applications of natural science in drug discovery are essential for identifying and developing new drugs and represent a promising area of research. Drug discovery is a complex and challenging process that involves multiple disciplines, including biology, chemistry, pharmacology, and medicine. One of the most interesting areas of drug discovery is using natural science, which involves the study of natural products and their potential therapeutic benefits, in which the research literature has previously been lacking appropriate attention. Multidisciplinary Applications of Natural Science for Drug Discovery and Integrative Medicine is a research book that bridges the gap between traditional and natural science approaches to identify new drug molecules in treating various diseases. The book focuses on allopathic and complementary medicine. It takes a cross-disciplinary examination of biology, chemistry, pharmacology, mathematics, physics, and medicine. This book is suitable for researchers, post-doctoral fellows, graduate students, and post-graduate students interested in exploring natural science's multidisciplinary applications in drug discovery and integrative medicine.

Encyclopedia of Data Science and Machine Learning

Wang, John
Encyclopedia of Data Science and Machine Learning Book PDF

Author : Wang, John
Publisher : IGI Global
Page : 3296 pages
File Size : 48,8 Mb
Release : 2023-01-20
Category : Computers
ISBN : 9781799892212

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Encyclopedia of Data Science and Machine Learning by Wang, John Pdf

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.