Big Data Analytics Systems Algorithms Applications

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Big Data Analytics Systems Algorithms Applications

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Author : C.S.R. Prabhu
language : en
Publisher: Springer Nature
Release Date : 2019-10-14

Big Data Analytics Systems Algorithms Applications written by C.S.R. Prabhu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-14 with Computers categories.

This book provides a comprehensive survey of techniques, technologies and applications of Big Data and its analysis. The Big Data phenomenon is increasingly impacting all sectors of business and industry, producing an emerging new information ecosystem. On the applications front, the book offers detailed descriptions of various application areas for Big Data Analytics in the important domains of Social Semantic Web Mining, Banking and Financial Services, Capital Markets, Insurance, Advertisement, Recommendation Systems, Bio-Informatics, the IoT and Fog Computing, before delving into issues of security and privacy. With regard to machine learning techniques, the book presents all the standard algorithms for learning – including supervised, semi-supervised and unsupervised techniques such as clustering and reinforcement learning techniques to perform collective Deep Learning. Multi-layered and nonlinear learning for Big Data are also covered. In turn, the book highlights real-life case studies on successful implementations of Big Data Analytics at large IT companies such as Google, Facebook, LinkedIn and Microsoft. Multi-sectorial case studies on domain-based companies such as Deutsche Bank, the power provider Opower, Delta Airlines and a Chinese City Transportation application represent a valuable addition. Given its comprehensive coverage of Big Data Analytics, the book offers a unique resource for undergraduate and graduate students, researchers, educators and IT professionals alike.

Development Methodologies For Big Data Analytics Systems

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Author : Manuel Mora
language : en
Publisher: Springer Nature
Release Date : 2023-11-03

Development Methodologies For Big Data Analytics Systems written by Manuel Mora and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-03 with Technology & Engineering categories.

This book presents research in big data analytics (BDA) for business of all sizes. The authors analyze problems presented in the application of BDA in some businesses through the study of development methodologies based on the three approaches – 1) plan-driven, 2) agile and 3) hybrid lightweight. The authors first describe BDA systems and how they emerged with the convergence of Statistics, Computer Science, and Business Intelligent Analytics with the practical aim to provide concepts, models, methods and tools required for exploiting the wide variety, volume, and velocity of available business internal and external data - i.e. Big Data – and provide decision-making value to decision-makers. The book presents high-quality conceptual and empirical research-oriented chapters on plan-driven, agile, and hybrid lightweight development methodologies and relevant supporting topics for BDA systems suitable to be used for large-, medium-, and small-sized business organizations.

Applications Of Machine Learning In Big Data Analytics And Cloud Computing

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Author : Subhendu Kumar Pani
language : en
Publisher: CRC Press
Release Date : 2022-09-01

Applications Of Machine Learning In Big Data Analytics And Cloud Computing written by Subhendu Kumar Pani and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-01 with Computers categories.

Cloud Computing and Big Data technologies have become the new descriptors of the digital age. The global amount of digital data has increased more than nine times in volume in just five years and by 2030 its volume may reach a staggering 65 trillion gigabytes. This explosion of data has led to opportunities and transformation in various areas such as healthcare, enterprises, industrial manufacturing and transportation. New Cloud Computing and Big Data tools endow researchers and analysts with novel techniques and opportunities to collect, manage and analyze the vast quantities of data. In Cloud and Big Data Analytics, the two areas of Swarm Intelligence and Deep Learning are a developing type of Machine Learning techniques that show enormous potential for solving complex business problems. Deep Learning enables computers to analyze large quantities of unstructured and binary data and to deduce relationships without requiring specific models or programming instructions. This book introduces the state-of-the-art trends and advances in the use of Machine Learning in Cloud and Big Data Analytics. The book will serve as a reference for Data Scientists, systems architects, developers, new researchers and graduate level students in Computer and Data science. The book will describe the concepts necessary to understand current Machine Learning issues, challenges and possible solutions as well as upcoming trends in Big Data Analytics.

Intelligent Systems And Learning Data Analytics In Online Education

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Author : Santi Caballé
language : en
Publisher: Academic Press
Release Date : 2021-06-15

Intelligent Systems And Learning Data Analytics In Online Education written by Santi Caballé and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-15 with Computers categories.

Intelligent Systems and Learning Data Analytics in Online Education provides novel artificial intelligence (AI) and analytics-based methods to improve online teaching and learning. This book addresses key problems such as attrition and lack of engagement in MOOCs and online learning in general. This book explores the state of the art of artificial intelligence, software tools and innovative learning strategies to provide better understanding and solutions to the various challenges of current e-learning in general and MOOC education. In particular, Intelligent Systems and Learning Data Analytics in Online Education shares stimulating theoretical and practical research from leading international experts. This publication provides useful references for educational institutions, industry, academic researchers, professionals, developers, and practitioners to evaluate and apply. - Presents the application of innovative AI techniques to collaborative learning activities - Offers strategies to provide automatic and effective tutoring to students' activities - Offers methods to collect, analyze and correctly visualize learning data in educational environments

Computing For Data Analysis Theory And Practices

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Author : Sanjay Chakraborty
language : en
Publisher: Springer Nature
Release Date : 2023-02-04

Computing For Data Analysis Theory And Practices written by Sanjay Chakraborty and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-04 with Technology & Engineering categories.

This book covers various cutting-edge computing technologies and their applications over data. It discusses in-depth knowledge on big data and cloud computing, quantum computing, cognitive computing, and computational biology with respect to different kinds of data analysis and applications. In this book, authors describe some interesting models in the cloud, quantum, cognitive, and computational biology domains that provide some useful impact on intelligent data (emotional, image, etc.) analysis. They also explain how these computing technologies based data analysis approaches used for various real-life applications. The book will be beneficial for readers working in this area.

Deep Learning And Big Data For Intelligent Transportation

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Author : Khaled R. Ahmed
language : en
Publisher: Springer Nature
Release Date : 2021-04-10

Deep Learning And Big Data For Intelligent Transportation written by Khaled R. Ahmed and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-10 with Computers categories.

This book contributes to the progress towards intelligent transportation. It emphasizes new data management and machine learning approaches such as big data, deep learning and reinforcement learning. Deep learning and big data are very energetic and vital research topics of today’s technology. Road sensors, UAVs, GPS, CCTV and incident reports are sources of massive amount of data which are crucial to make serious traffic decisions. Herewith this substantial volume and velocity of data, it is challenging to build reliable prediction models based on machine learning methods and traditional relational database. Therefore, this book includes recent research works on big data, deep convolution networks and IoT-based smart solutions to limit the vehicle’s speed in a particular region, to support autonomous safe driving and to detect animals on roads for mitigating animal-vehicle accidents. This book serves broad readers including researchers, academicians, students and working professional in vehicles manufacturing, health and transportation departments and networking companies.

Intelligent System Algorithms And Applications In Science And Technology

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Author : Sunil Pathak
language : en
Publisher: CRC Press
Release Date : 2022-02-03

Intelligent System Algorithms And Applications In Science And Technology written by Sunil Pathak and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-03 with Computers categories.

The 21st century has witnessed massive changes around the world in intelligence systems in order to become smarter, energy efficient, reliable, and cheaper. This volume explores the application of intelligent techniques in various fields of engineering and technology. It addresses diverse topics in such areas as machine learning-based intelligent systems for healthcare, applications of artificial intelligence and the Internet of Things, intelligent data analytics techniques, intelligent network systems and applications, and inequalities and process control systems. The authors explore the full breadth of the field, which encompasses data analysis, image processing, speech processing and recognition, medical science and healthcare monitoring, smart irrigation systems, insurance and banking, robotics and process control, and more.

Big Data Analytics In The Insurance Market

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Author : Kiran Sood
language : en
Publisher: Emerald Group Publishing
Release Date : 2022-07-18

Big Data Analytics In The Insurance Market written by Kiran Sood and has been published by Emerald Group Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-18 with Business & Economics categories.

Big Data Analytics in the Insurance Market is an industry-specific guide to creating operational effectiveness, managing risk, improving financials, and retaining customers. A must for people seeking to broaden their knowledge of big data concepts and their real-world applications, particularly in the field of insurance.

Artificial Intelligence For Sustainable Finance And Sustainable Technology

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Author : Abdalmuttaleb M. A. Musleh Al-Sartawi
language : en
Publisher: Springer Nature
Release Date : 2022-01-01

Artificial Intelligence For Sustainable Finance And Sustainable Technology written by Abdalmuttaleb M. A. Musleh Al-Sartawi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-01 with Technology & Engineering categories.

This book shows latest research on artificial intelligence for sustainable technology. ICGER 2021 was organized by the Accounting, Finance and Banking Department at Ahlia University, Bahrain, and was conducted on the 15th and 16th of September. The strategic partners included the University of Jordan, the Bahrain Economists Society, the Association of Chartered Certified Accountants: ACCA, Al-Barka Banking Group and the International Computer Auditing Education Association: ICAEA . The theme of the ICGER 2021 centered around artificial intelligence for sustainable finance and sustainable technology. Accordingly, the papers presented at the conference provided a holistic view of sustainable finance, sustainability, AI, financial technology, cybersecurity, blockchain, CSR, and governance. This book, unlike ever before, brings together intelligence applications of new technologies and the sustainability requirements in the era of the digital economy, with special attention given to the opportunities, challenges, for education, business growth, and economic progression of nations which will help societies (economists, financial managers, engineers, ICT specialists, digital managers, data managers, policymakers, regulators, researchers, academics, and students) to better understand, use, and control AI applications and financial technologies to develop future strategies and to achieve sustainable development goals.

Digital Platforms In Finance And Supply Chain Management

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Author : Piotr Łasak
language : en
Publisher: Taylor & Francis
Release Date : 2025-07-25

Digital Platforms In Finance And Supply Chain Management written by Piotr Łasak and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-25 with Business & Economics categories.

This book offers a comprehensive analysis of digital platforms as the driving force of the modern economy, exploring their evolution, governance, and integration across financial and supply chain ecosystems. It presents a synthesis of theories, strategic models, and empirical insights to address the complexities of platform economies, making it an essential resource for scholars, policymakers, and industry practitioners. The book is structured around core principles of digital platforms, including their definition, key features, and transformative impact on value creation. It delves into governance and ethical considerations, examining global regulatory frameworks and the emerging paradigms of Industry 5.0, where digital platforms intersect with economic, social, and environmental sustainability. The theoretical foundations are rooted in network effects, New Economic Geography, Platform Economics, Agency Theory, and Systems Theory, offering a robust analytical framework for understanding scalability, competition, and strategic decision- making in platform ecosystems. Two important areas — finance and supply chains— are explored in depth. The book investigates the digitalization of financial services, the risks and benefits of fintech innovations, and governance strategies within financial ecosystems. In parallel, it examines digital supply chain platforms, their integration challenges, and governance models that drive efficiency and value creation. The book culminates in a forward- looking synthesis, identifying synergies between financial and supply chain platforms while forecasting future trends in digital transformation. By integrating theoretical insights with practical case studies, this book provides a holistic and interdisciplinary approach to digital platforms, bridging gaps between economic theory, strategic management, and technological innovation.