A Simple Guide to Technology and Analytics, Evans, Brian J
Автор: Soofastaei Ali Название: Advanced Analytics in Mining Engineering: Leverage Advanced Analytics in Mining Industry to Make Better Business Decisions ISBN: 3030915883 ISBN-13(EAN): 9783030915889 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In this book, Dr. Soofastaei and his colleagues reveal how all mining managers can effectively deploy advanced analytics in their day-to-day operations- one business decision at a time. Most mining companies have a massive amount of data at their disposal. However, they cannot use the stored data in any meaningful way. The powerful new business tool-advanced analytics enables many mining companies to aggressively leverage their data in key business decisions and processes with impressive results. From statistical analysis to machine learning and artificial intelligence, the authors show how many analytical tools can improve decisions about everything in the mine value chain, from exploration to marketing. Combining the science of advanced analytics with the mining industrial business solutions, introduce the “Advanced Analytics in Mining Engineering Book” as a practical road map and tools for unleashing the potential buried in your company’s data. The book is aimed at providing mining executives, managers, and research and development teams with an understanding of the business value and applicability of different analytic approaches and helping data analytics leads by giving them a business framework in which to assess the value, cost, and risk of potential analytical solutions. In addition, the book will provide the next generation of miners – undergraduate and graduate IT and mining engineering students – with an understanding of data analytics applied to the mining industry. By providing a book with chapters structured in line with the mining value chain, we will provide a clear, enterprise-level view of where and how advanced data analytics can best be applied. This book highlights the potential to interconnect activities in the mining enterprise better. Furthermore, the book explores the opportunities for optimization and increased productivity offered by better interoperability along the mining value chain – in line with the emerging vision of creating a digital mine with much-enhanced capabilities for modeling, simulation, and the use of digital twins – in line with leading “digital” industries.
Автор: Gregory Richards Название: Big data and analytics applications in government : ISBN: 1498764347 ISBN-13(EAN): 9781498764346 Издательство: Taylor&Francis Рейтинг: Цена: 127600.00 T Наличие на складе: Невозможна поставка. Описание: The application of big data and analytics (BDA) techniques can greatly enhance the efficiency of private-sector organizations. This book present case studies with academic and practitioner viewpoints on BDA in public-sector agencies. It covers the application of BDA technologies and techniques.
Автор: Arikan, Akin, Название: Customer experience analytics : ISBN: 1032370769 ISBN-13(EAN): 9781032370767 Издательство: Taylor&Francis Рейтинг: Цена: 30610.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: An unprecedented guide to user experience (UX) analytics, this book closes a mission-critical skill gap and enables business professionals in a digital-first world to make smart, effective, and quick decisions based on experience analytics.
Автор: Kingshuk Srivastava, Thipendra P Singh, Manas Ranjan Pradhan, Vinit Kumar Gunjan Название: Understanding data analytics and predictive modelling in the oil and gas industry ISBN: 1032413875 ISBN-13(EAN): 9781032413877 Издательство: Taylor&Francis Рейтинг: Цена: 102080.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book covers aspects of data science and predictive analytics used in the oil and gas industry by looking into the challenges of data processing and data modelling unique to this industry. It includes upstream management, intelligent/digital wells, value chain integration, crude basket forecasting, and so forth. It further discusses theoretical, methodological, well-established, and validated empirical work dealing with various related topics. Special focus has been given to experimental topics with various case studies.Features:Provides an understanding of the basics of IT technologies applied in the oil and gas sectorIncludes deep comparison between different artificial intelligence techniquesAnalyzes different simulators in the oil and gas sector as well as discussion of AI applicationsFocuses on in-depth experimental and applied topicsDetails different case studies for upstream and downstreamThis book is aimed at professionals and graduate students in petroleum engineering, upstream industry, data analytics, and digital transformation process in oil and gas.
Автор: Imriyas Kamardeen Название: Preventing Workplace Incidents in Construction: Data Mining and Analytics Applications ISBN: 1138087459 ISBN-13(EAN): 9781138087453 Издательство: Taylor&Francis Рейтинг: Цена: 163330.00 T Наличие на складе: Нет в наличии. Описание: This book aims to apply data mining and analytic techniques to past workplace accident data to discover patterns that facilitate the development of innovative models and strategies.
Автор: Abhishek Verma Название: Advances in cyber security and intelligent analytics / ISBN: 103221600X ISBN-13(EAN): 9781032216003 Издательство: Taylor&Francis Рейтинг: Цена: 102080.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The book highlights the challenges faced by emerging paradigms and presents the recent developments made to address the challenges. It presents a detailed study on security issues in distributed computing environments and their possible solutions, followed by applications of medical IoT, deep learning, IoV, healthcare, etc.
Автор: Jay Liebowitz Название: Developing the intuitive executive ISBN: 103249820X ISBN-13(EAN): 9781032498201 Издательство: Taylor&Francis Рейтинг: Цена: 48990.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Suneeta Satpathy, Sachi Nandan Mohanty Название: Big Data Analytics and Computing for Digital Forensic Investigations ISBN: 0367456788 ISBN-13(EAN): 9780367456788 Издательство: Taylor&Francis Рейтинг: Цена: 80630.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The book investigates the areas of digital forensics, digital investigation, and data analysis procedures as they apply to computer fraud and cyber crime, with the main objective of describing a variety of digital crimes and retrieving potential digital evidence.
Автор: Badiru, Adedeji Bodunde, Название: Artificial intelligence and digital systems engineering ISBN: 0367545470 ISBN-13(EAN): 9780367545475 Издательство: Taylor&Francis Рейтинг: Цена: 53070.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The resurgence of artificial intelligence has been fueled by the availability of the present generation of high-performance computational tools and techniques. This book is designed to provide introductory guidance to artificial intelligence, particularly from the perspective of digital systems engineering.
Автор: Murugan Anandarajan; Chelsey Hill; Thomas Nolan Название: Practical Text Analytics ISBN: 3319956620 ISBN-13(EAN): 9783319956626 Издательство: Springer Рейтинг: Цена: 65210.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book introduces text analytics as a valuable method for deriving insights from text data. Unlike other text analytics publications, Practical Text Analytics: Maximizing the Value of Text Data makes technical concepts accessible to those without extensive experience in the field. Using text analytics, organizations can derive insights from content such as emails, documents, and social media. Practical Text Analytics is divided into five parts. The first part introduces text analytics, discusses the relationship with content analysis, and provides a general overview of text mining methodology. In the second part, the authors discuss the practice of text analytics, including data preparation and the overall planning process. The third part covers text analytics techniques such as cluster analysis, topic models, and machine learning. In the fourth part of the book, readers learn about techniques used to communicate insights from text analysis, including data storytelling. The final part of Practical Text Analytics offers examples of the application of software programs for text analytics, enabling readers to mine their own text data to uncover information.
Автор: Jones Herbert Название: Data Science for Business: Predictive Modeling, Data Mining, Data Analytics, Data Warehousing, Data Visualization, Regression Analysis, Database ISBN: 1647483263 ISBN-13(EAN): 9781647483265 Издательство: Неизвестно Рейтинг: Цена: 27580.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Data science has a huge impact on how companies conduct business, and those who don`t learn about this revolutionaryfield could be left behind. You see, data science will help you make better decisions, know what products and services to release, and how to provide better service to your customers.
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