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Applications of Big Data Analytics

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Release : 2019-02-09
Genre : Computers
Kind : eBook
Book Rating : 973/5 ( reviews)

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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. This book was released on 2019-02-09. 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.

Big Data and Business Analytics

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Author :
Release : 2016-04-19
Genre : Business & Economics
Kind : eBook
Book Rating : 799/5 ( reviews)

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Book Synopsis Big Data and Business Analytics by : Jay Liebowitz

Download or read book Big Data and Business Analytics written by Jay Liebowitz. This book was released on 2016-04-19. Available in PDF, EPUB and Kindle. Book excerpt: "The chapters in this volume offer useful case studies, technical roadmaps, lessons learned, and a few prescriptions todo this, avoid that.'"-From the Foreword by Joe LaCugna, Ph.D., Enterprise Analytics and Business Intelligence, Starbucks Coffee CompanyWith the growing barrage of "big data," it becomes vitally important for organizations to mak

Applications of Big Data and Business Analytics in Management

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Release : 2020-12-04
Genre : Business & Economics
Kind : eBook
Book Rating : 842/5 ( reviews)

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Book Synopsis Applications of Big Data and Business Analytics in Management by : Sneha Kumari

Download or read book Applications of Big Data and Business Analytics in Management written by Sneha Kumari. This book was released on 2020-12-04. Available in PDF, EPUB and Kindle. Book excerpt: Applications of Big Data and Business Analytics in Management uses advanced analytic tools to explore the solutions to problems in society, environment and industry. The chapters within bring together researchers, engineers and practitioners, encompassing a wide and diverse set of topics in almost every field.

Applications of Big Data and Business Analytics in Management

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Author :
Release : 2020
Genre : Big data
Kind : eBook
Book Rating : 614/5 ( reviews)

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Book Synopsis Applications of Big Data and Business Analytics in Management by : Sneha Kumari

Download or read book Applications of Big Data and Business Analytics in Management written by Sneha Kumari. This book was released on 2020. Available in PDF, EPUB and Kindle. Book excerpt: ""This book explores the application of big data and business analytics in the management of expertise, knowledge, information, and organizational development"--Provided by publisher"--

Big Data Analytics

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Release : 2022-01-19
Genre : Computers
Kind : eBook
Book Rating : 578/5 ( reviews)

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Book Synopsis Big Data Analytics by : Kiran Chaudhary

Download or read book Big Data Analytics written by Kiran Chaudhary. This book was released on 2022-01-19. Available in PDF, EPUB and Kindle. Book excerpt: Big Data Analytics: Applications in Business and Marketing explores the concepts and applications related to marketing and business as well as future research directions. It also examines how this emerging field could be extended to performance management and decision-making. Investment in business and marketing analytics can create value through proper allocation of resources and resource orchestration process. The use of data analytics tools can be used to diagnose and improve performance. The book is divided into five parts. The first part introduces data science, big data, and data analytics. The second part focuses on applications of business analytics including: Big data analytics and algorithm Market basket analysis Anticipating consumer purchase behavior Variation in shopping patterns Big data analytics for market intelligence The third part looks at business intelligence and features an evaluation study of churn prediction models for business Intelligence. The fourth part of the book examines analytics for marketing decision-making and the roles of big data analytics for market intelligence and of consumer behavior. The book concludes with digital marketing, marketing by consumer analytics, web analytics for digital marketing, and smart retailing. This book covers the concepts, applications and research trends of marketing and business analytics with the aim of helping organizations increase profitability by improving decision-making through data analytics.

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