Download or read book From Data to Discovery The Essential Guide to Big Data Analytics written by Dr.J.Premalatha and published by SK Research Group of Companies. This book was released on 2024-02-27 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dr.J.Premalatha, Vice Principal, Dhanalakshmi Srinivasan Arts and Science(Co-Ed) College, Mamallapuram, Chennai, Tamil Nadu, India. Dr.K.Kalaiselvi, Professor, Department of Data Analytics, Saveetha College of Liberal Arts and Sciences, SIMATS, Chennai, Tamil Nadu, India. Dr.A.Senthilkumar, Assistant Professor, Department of Computer Science with Data Analytics, Sri Ramakrishna College of Arts & Science, Coimbatore, Tamil Nadu, India.

Download or read book Analytics in a Big Data World written by Bart Baesens and published by John Wiley & Sons. This book was released on 2014-04-15 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: The guide to targeting and leveraging business opportunities using big data & analytics By leveraging big data & analytics, businesses create the potential to better understand, manage, and strategically exploiting the complex dynamics of customer behavior. Analytics in a Big Data World reveals how to tap into the powerful tool of data analytics to create a strategic advantage and identify new business opportunities. Designed to be an accessible resource, this essential book does not include exhaustive coverage of all analytical techniques, instead focusing on analytics techniques that really provide added value in business environments. The book draws on author Bart Baesens' expertise on the topics of big data, analytics and its applications in e.g. credit risk, marketing, and fraud to provide a clear roadmap for organizations that want to use data analytics to their advantage, but need a good starting point. Baesens has conducted extensive research on big data, analytics, customer relationship management, web analytics, fraud detection, and credit risk management, and uses this experience to bring clarity to a complex topic. Includes numerous case studies on risk management, fraud detection, customer relationship management, and web analytics Offers the results of research and the author's personal experience in banking, retail, and government Contains an overview of the visionary ideas and current developments on the strategic use of analytics for business Covers the topic of data analytics in easy-to-understand terms without an undo emphasis on mathematics and the minutiae of statistical analysis For organizations looking to enhance their capabilities via data analytics, this resource is the go-to reference for leveraging data to enhance business capabilities.

Download or read book Big Data Analytics written by Kim H. Pries and published by CRC Press. This book was released on 2015-02-05 with total page 564 pages. Available in PDF, EPUB and Kindle. Book excerpt: With this book, managers and decision makers are given the tools to make more informed decisions about big data purchasing initiatives. Big Data Analytics: A Practical Guide for Managers not only supplies descriptions of common tools, but also surveys the various products and vendors that supply the big data market.Comparing and contrasting the dif

Download or read book Predictive Intelligence Using Big Data and the Internet of Things written by Gupta, P.K. and published by IGI Global. This book was released on 2018-12-28 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the recent growth of big data and the internet of things (IoT), individuals can now upload, retrieve, store, and collect massive amounts of information to help drive decisions and optimize processes. Due to this, a new age of predictive computing is taking place, and data can now be harnessed to predict unknown occurrences or probabilities based on data collected in real time. Predictive Intelligence Using Big Data and the Internet of Things highlights state-of-the-art research on predictive intelligence using big data, the IoT, and related areas to ensure quality assurance and compatible IoT systems. Featuring coverage on predictive application scenarios to discuss these breakthroughs in real-world settings and various methods, frameworks, algorithms, and security concerns for predictive intelligence, this book is ideally designed for academicians, researchers, advanced-level students, and technology developers.

Download or read book The Essential Guide to the Science of Science written by Prince of Peace and published by Prince of Peace. This book was released on 2024-04-24 with total page 64 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Essential Guide to the Science of Science is a comprehensive and well-researched curriculum that is highly recommended for educators who are seeking a more in-depth understanding of the scientific method and its application. This book provides a detailed overview of the scientific process, including the design and execution of experiments, data analysis, and the interpretation of results. It also delves into important topics such as scientific communication, ethical considerations, and critical thinking skills. One of the key strengths of this guide is its emphasis on practical application. It provides educators with a wealth of examples and case studies that illustrate the concepts covered in each chapter. This makes it easy for teachers to incorporate the material into their lessons and to help their students develop a deeper understanding of how science works. Another strength of this book is its accessibility. The language is clear and concise, and the concepts are presented in a way that is easy to understand, even for those who may not have a strong background in science. The guide is also well-structured, with each chapter building upon the previous one, making it easy to follow along and stay engaged. Overall, The Essential Guide to the Science of Science is an invaluable resource for educators who are passionate about teaching their students the scientific method and helping them develop the skills they need to succeed in a rapidly changing world.

Download or read book Big Data at Work written by Thomas Davenport and published by Harvard Business Review Press. This book was released on 2014-02-04 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: Go ahead, be skeptical about big data. The author was—at first. When the term “big data” first came on the scene, bestselling author Tom Davenport (Competing on Analytics, Analytics at Work) thought it was just another example of technology hype. But his research in the years that followed changed his mind. Now, in clear, conversational language, Davenport explains what big data means—and why everyone in business needs to know about it. Big Data at Work covers all the bases: what big data means from a technical, consumer, and management perspective; what its opportunities and costs are; where it can have real business impact; and which aspects of this hot topic have been oversold. This book will help you understand: • Why big data is important to you and your organization • What technology you need to manage it • How big data could change your job, your company, and your industry • How to hire, rent, or develop the kinds of people who make big data work • The key success factors in implementing any big data project • How big data is leading to a new approach to managing analytics With dozens of company examples, including UPS, GE, Amazon, United Healthcare, Citigroup, and many others, this book will help you seize all opportunities—from improving decisions, products, and services to strengthening customer relationships. It will show you how to put big data to work in your own organization so that you too can harness the power of this ever-evolving new resource.

Download or read book Introduction to Biomedical Data Science written by Robert Hoyt and published by Lulu.com. This book was released on 2019-11-24 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: Overview of biomedical data science -- Spreadsheet tools and tips -- Biostatistics primer -- Data visualization -- Introduction to databases -- Big data -- Bioinformatics and precision medicine -- Programming languages for data analysis -- Machine learning -- Artificial intelligence -- Biomedical data science resources -- Appendix A: Glossary -- Appendix B: Using data.world -- Appendix C: Chapter exercises.

Download or read book Data Science and Big Data Analytics written by EMC Education Services and published by John Wiley & Sons. This book was released on 2014-12-19 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and methods and tools that Data Scientists use. The content focuses on concepts, principles and practical applications that are applicable to any industry and technology environment, and the learning is supported and explained with examples that you can replicate using open-source software. This book will help you: Become a contributor on a data science team Deploy a structured lifecycle approach to data analytics problems Apply appropriate analytic techniques and tools to analyzing big data Learn how to tell a compelling story with data to drive business action Prepare for EMC Proven Professional Data Science Certification Get started discovering, analyzing, visualizing, and presenting data in a meaningful way today!

Download or read book A Guide to Planning and Managing Open Innovative Ecosystems written by João Leitão and published by Emerald Group Publishing. This book was released on 2020-10-16 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital technology in the form of big data and data analytics is transforming the global economy. This book is the first to take an open innovation perspective to the study and practice of ecosystems, providing a novel way of understanding the impact data has on the way entrepreneurial firms develop.

Download or read book Data Analytics and Machine Learning written by Pushpa Singh and published by Springer Nature. This book was released on with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Agile Data Warehousing for the Enterprise written by Ralph Hughes and published by Newnes. This book was released on 2015-09-19 with total page 563 pages. Available in PDF, EPUB and Kindle. Book excerpt: Building upon his earlier book that detailed agile data warehousing programming techniques for the Scrum master, Ralph's latest work illustrates the agile interpretations of the remaining software engineering disciplines: - Requirements management benefits from streamlined templates that not only define projects quickly, but ensure nothing essential is overlooked. - Data engineering receives two new "hyper modeling" techniques, yielding data warehouses that can be easily adapted when requirements change without having to invest in ruinously expensive data-conversion programs. - Quality assurance advances with not only a stereoscopic top-down and bottom-up planning method, but also the incorporation of the latest in automated test engines. Use this step-by-step guide to deepen your own application development skills through self-study, show your teammates the world's fastest and most reliable techniques for creating business intelligence systems, or ensure that the IT department working for you is building your next decision support system the right way. - Learn how to quickly define scope and architecture before programming starts - Includes techniques of process and data engineering that enable iterative and incremental delivery - Demonstrates how to plan and execute quality assurance plans and includes a guide to continuous integration and automated regression testing - Presents program management strategies for coordinating multiple agile data mart projects so that over time an enterprise data warehouse emerges - Use the provided 120-day road map to establish a robust, agile data warehousing program

Download or read book The Science of Peak Sports Performance A Guide to the Assessment Control and Monitoring of Training written by Jaime A. Roa and published by Jaime A. Roa. This book was released on 2024-09-30 with total page 104 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The Science of Peak Sports Performance: A Guide to the Assessment, Control, and Monitoring of Training" serves as a comprehensive and up-to-date reference aimed at coaches, athletes, sports medicine professionals, and sports science practitioners who are interested in applying a scientific approach to optimizing sports performance. Through its five sections, the book delves deeply into the most advanced principles, methods, and tools for the assessment, control, and monitoring of sports training: 1. Foundations of the Scientific Assessment, Control, and Monitoring of Sports Training: Introduces key concepts related to biomedical control in athletes, highlighting their relevance and application in high-performance sports. 2. Comprehensive Athlete Evaluation: Provides a detailed analysis of contemporary methods for physical, functional, and psychological evaluation of athletes, allowing for a multidimensional approach in training planning. 3. Physiological Monitoring of Training: Explores in depth the use of wearable devices and biometric sensors for continuous monitoring of athletes' physiological status. The book addresses the use of heart rate variability (HRV) as a fundamental tool for adjusting training loads and preventing overtraining. 4. Biochemical Control of Sports Training: Analyzes the main biochemical markers used in training control, including hematological, hormonal, muscle damage, stress, and energy metabolism indicators, with a focus on the relationship between these markers and sports performance. 5. Artificial Intelligence Applied to the Scientific Control of Training and Performance Analysis: Examines the implementation of advanced artificial intelligence and machine learning technologies in the analysis and optimization of performance, offering practical examples of their use in the sports context. This e-book is an indispensable tool for those seeking to implement a rigorous, evidence-based approach to enhancing sports performance, preventing injuries, and effectively managing training loads.

Download or read book Banking on Cloud Data Platforms A Guide written by Dillip Kumar, Sarah Mohapatra and published by Blue Rose Publishers. This book was released on 2023-10-12 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores the evolution of data platforms over the last five decades, spanning from data warehousing to big data and cloud technologies. It discusses architecture, guiding principles, technology, and various use cases in the banking industry. The role of fintech and meeting digital payment demands with modern platforms is addressed. Techniques for handling PII/SPDI data in the cloud, ingestion frameworks, real-time and streaming data, and data availability are discussed practically. Additionally, it covers the increasing roles of CDOs, governance, data security, and DPDP. These chapters serve as valuable references for banks and financial institutions, drawing from real-world data sources and global events.

Download or read book Knowledge Discovery from Data Streams written by Joao Gama and published by CRC Press. This book was released on 2010-05-25 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since the beginning of the Internet age and the increased use of ubiquitous computing devices, the large volume and continuous flow of distributed data have imposed new constraints on the design of learning algorithms. Exploring how to extract knowledge structures from evolving and time-changing data, Knowledge Discovery from Data Streams presents

Download or read book IoT and Smart Cities written by Rashmi Nanda and published by BPB Publications. This book was released on 2019-10-11 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: Know how Smart TVs, Smart Cars, Smart Homes, and Smart Cities are changing the World! DESCRIPTION The Internet of Things (IoT) not only connect people but will connect ÔsmartÕ homes, appliances, cars, offices, factories, cities, basically the world. This book discusses how smart cities strive to deploy and interconnect infrastructures and services to guarantee that the authorities and citizens have access to reliable and global customized services. The book describes a wide range of topics present in the design, development, and running of smart cities, ranging from big data management, Internet of Things, and sustainable urban planning. The technical aspects of smart cities enabled primarily by the Internet of Things, the socio-economic motivations and impact of smart city development are covered in this book. KEY FEATURES Learn to successfully create, launch and manage the Internet of Things services Know the process of specifying, implementing, and deploying IoT services Learn the fundamentals of IoT services, building blocks and the key factors Learn the fast track approach to IoT Learn a dual perspective on the Internet of Things and ubiquitous computing Know detailed coverage of the underlying architecture, framework and state of the art methodologies WHAT WILL YOU LEARN The purpose of this book is to help you to work with cities and learn to develop them into smart cities. You will learn to develop a plan and learn what an smart city is, how to plan the smart city infrastructure and from where do you start while developing the smart city. You will learn what kind of planning is involved and about permitting, rent, acquisition, construction planning, with whom should you work? You can learn all this and more from case studies and deployment planning described in the book. WHOM THIS BOOK IS FOR Students studying IoT in universities and who want to know the fundamentals of the IoT business. For business executives and IoT startups. Ê Table of Contents 1.Ê Introduction Ê Ê Ê 2.Ê RFID and WSN: The Beginning 3.Ê Interoperability of IoT Devices and Sensor (Semantic) Web Ê 4.Ê CloudÕs Internet of Things (IoT) 5.Ê IoT and Edge Computing 6.Ê IoT - Big Data Convergence with IoT Data 7.Ê Introduction to (Big Data) Internet of Things Analytics and Streams 8.Ê Operability Among IoT Clouds and Semantics 9.Ê Edge and Analytics 10. To Conclude 11. Abbreviation 12. Bibliography

Download or read book Big Data Computing written by Vivek Kale and published by CRC Press. This book was released on 2016-11-25 with total page 530 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book unravels the mystery of Big Data computing and its power to transform business operations. The approach it uses will be helpful to any professional who must present a case for realizing Big Data computing solutions or to those who could be involved in a Big Data computing project. It provides a framework that enables business and technical managers to make optimal decisions necessary for the successful migration to Big Data computing environments and applications within their organizations.

Download or read book Applications of Parallel Data Processing for Biomedical Imaging written by Khan, Rijwan and published by IGI Global. This book was released on 2024-04-26 with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt: Despite the remarkable progress witnessed in the last decade in big data utilization and parallel processing techniques, a persistent disparity exists between the capabilities of computer-aided diagnosis systems and the intricacies of practical healthcare scenarios. This disconnection is particularly evident in the complex landscape of artificial intelligence (AI) and IoT innovations within the biomedical realm. The need to bridge this gap and explore the untapped potential in healthcare and biomedical applications has never been more crucial. As we navigate through these challenges, Applications of Parallel Data Processing for Biomedical Imaging offers insights and solutions to reshape the future of biomedical research. The objective of Applications of Parallel Data Processing for Biomedical Imaging is to bring together researchers from both the computer science and biomedical research communities. By showcasing state-of-the-art deep learning and large data analysis technologies, the book provides a platform for the cross-pollination of ideas between AI-based and traditional methodologies. The collaborative effort seeks to have a substantial impact on data mining, AI, computer vision, biomedical research, healthcare engineering, and other related fields. This interdisciplinary approach positions the book as a cornerstone for scholars, professors, and professionals working in software and medical fields, catering to both graduate and undergraduate students eager to explore the evolving landscape of parallel computing, artificial intelligence, and their applications in biomedical research.