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Data analytics initiatives, Bothe, Ondrej Kubera, Ondrej Bednar, David Potancok, Martin Novotny, Ota


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Цена: 45930.00T
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Склад Америка: 229 шт.  
При оформлении заказа до: 2025-08-18
Ориентировочная дата поставки: конец Сентября - начало Октября
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Автор: Bothe, Ondrej Kubera, Ondrej Bednar, David Potancok, Martin Novotny, Ota
Название:  Data analytics initiatives
ISBN: 9781032208510
Издательство: Taylor&Francis
Классификация:





ISBN-10: 1032208511
Обложка/Формат: Paperback
Страницы: 164
Вес: 0.30 кг.
Дата издания: 21.04.2022
Язык: English
Иллюстрации: 41 halftones, black and white; 41 illustrations, color; 41 halftones, black and white; 41 illustrations, color
Размер: 188 x 234 x 14
Читательская аудитория: Tertiary education (us: college)
Подзаголовок: Managing analytics for success
Рейтинг:
Поставляется из: Европейский союз
Описание: Analytics projects have a great deal of complexity, which can be hidden and needs to be considered. This book is a guide to evaluating and setting up analytics projects. It gives a holistic view of all aspects of analytical project that can be easily leveraged before a project starts or when it needs to be re-evaluated.

Blockchain Data Analytics for Dummies

Автор: Solomon Michael G.
Название: Blockchain Data Analytics for Dummies
ISBN: 1119651778 ISBN-13(EAN): 9781119651772
Издательство: Wiley
Рейтинг:
Цена: 27450.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Get ahead of the curve-learn about big data on the blockchain Blockchain came to prominence as the disruptive technology that made cryptocurrencies work. Now, data pros are using blockchain technology for faster real-time analysis, better data security, and more accurate predictions. Blockchain Data Analytics For Dummies is your quick-start guide to harnessing the potential of blockchain.

Inside this book, technologists, executives, and data managers will find information and inspiration to adopt blockchain as a big data tool. Blockchain expert Michael G. Solomon shares his insight on what the blockchain is and how this new tech is poised to disrupt data.

Set your organization on the cutting edge of analytics, before your competitors get there! Learn how blockchain technologies work and how they can integrate with big dataDiscover the power and potential of blockchain analyticsEstablish data models and quickly mine for insights and resultsCreate data visualizations from blockchain analysis Discover how blockchains are disrupting the data world with this exciting title in the trusted For Dummies line!


People Analytics in the Era of Big Data: Changing the Way You Attract, Acquire, Develop, and Retain Talent

Автор: Isson Jean Paul
Название: People Analytics in the Era of Big Data: Changing the Way You Attract, Acquire, Develop, and Retain Talent
ISBN: 1119050782 ISBN-13(EAN): 9781119050780
Издательство: Wiley
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Цена: 41190.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Apply predictive analytics throughout all stages of workforce management People Analytics in the Era of Big Data provides a blueprint for leveraging your talent pool through the use of data analytics.

Computational Learning Approaches To Data Analytics In Biomedical Applications

Автор: Al-Jabery, Khalid
Название: Computational Learning Approaches To Data Analytics In Biomedical Applications
ISBN: 0128144823 ISBN-13(EAN): 9780128144824
Издательство: Elsevier Science
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Цена: 132500.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

Computational Learning Approaches to Data Analytics in Biomedical Applications provides a unified framework for biomedical data analysis using varied machine learning and statistical techniques. It presents insights on biomedical data processing, innovative clustering algorithms and techniques, and connections between statistical analysis and clustering. The book introduces and discusses the major problems relating to data analytics, provides a review of influential and state-of-the-art learning algorithms for biomedical applications, reviews cluster validity indices and how to select the appropriate index, and includes an overview of statistical methods that can be applied to increase confidence in the clustering framework and analysis of the results obtained.


Data analytics for coronavirus disease (covid-19) outbreak

Автор: Shinde, Gitanjali Rahul (department Of Computer Engineering, Stes`s, Smt. Kashibai Navale College Of Engineering, Pune, India) Kalamkar, Asmita Balasa
Название: Data analytics for coronavirus disease (covid-19) outbreak
ISBN: 0367558467 ISBN-13(EAN): 9780367558468
Издательство: Taylor&Francis
Рейтинг:
Цена: 58170.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The focus of this book is data analytics for COVID-19 which includes an overview of COVID-19 in terms of epidemic/pandemic, data processing and knowledge extraction. Data sources, storage and platforms are discussed along with discussion on data models, their performance, different Big data techniques, tools and technologies.

Big Data Analytics for Intelligent Healthcare Management

Автор: Dey, Nilanjan
Название: Big Data Analytics for Intelligent Healthcare Management
ISBN: 012818146X ISBN-13(EAN): 9780128181461
Издательство: Elsevier Science
Рейтинг:
Цена: 132500.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

Big Data Analytics for Intelligent Healthcare Management covers both the theory and application of hardware platforms and architectures, the development of software methods, techniques and tools, applications and governance, and adoption strategies for the use of big data in healthcare and clinical research. The book provides the latest research findings on the use of big data analytics with statistical and machine learning techniques that analyze huge amounts of real-time healthcare data.

  • Examines the methodology and requirements for development of big data architecture, big data modeling, big data as a service, big data analytics, and more
  • Discusses big data applications for intelligent healthcare management, such as revenue management and pricing, predictive analytics/forecasting, big data integration for medical data, algorithms and techniques, etc.
  • Covers the development of big data tools, such as data, web and text mining, data mining, optimization, machine learning, cloud in big data with Hadoop, big data in IoT, and more

Intelligent Systems And Learning Data Analytics In Online Education, 2021

Автор: Caballe, Santi
Название: Intelligent Systems And Learning Data Analytics In Online Education, 2021
ISBN: 0128234105 ISBN-13(EAN): 9780128234105
Издательство: Elsevier Science
Рейтинг:
Цена: 114530.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

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.


Advanced Data Analytics for Power Systems

Автор: Ali Tajer, Samir M. Perlaza, H. Vincent Poor
Название: Advanced Data Analytics for Power Systems
ISBN: 1108494757 ISBN-13(EAN): 9781108494755
Издательство: Cambridge Academ
Рейтинг:
Цена: 109830.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Experts in data analytics and power engineering present theories addressing the needs of modern power systems. Covering theory and application to the solution of power system problems relating to reliability, efficiency, and security, this is an essential resource for graduate students and researchers in academia and industry.

Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation

Автор: Editors: Deo, R., Samui, P., Kisi, O., Zaher, Y.
Название: Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation
ISBN: 9811557713 ISBN-13(EAN): 9789811557712
Издательство: Springer
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Цена: 167700.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book highlights cutting-edge applications of machine learning techniques for disaster management by monitoring, analyzing, and forecasting hydro-meteorological variables.

Advanced Analytics with Transact-SQL: Exploring Hidden Patterns and Rules in Your Data

Автор: Sarka Dejan
Название: Advanced Analytics with Transact-SQL: Exploring Hidden Patterns and Rules in Your Data
ISBN: 1484271726 ISBN-13(EAN): 9781484271728
Издательство: Springer
Рейтинг:
Цена: 32600.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Intermediate-Advanced user level

Investing in People: Financial Impact of Human Resource Initiatives

Автор: Boudreau John W., Cascio Wayne F., Fink Alexis A.
Название: Investing in People: Financial Impact of Human Resource Initiatives
ISBN: 1586446096 ISBN-13(EAN): 9781586446093
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 45590.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Draws on state-of-the art practice and research across disciplines including psychology, economics, accounting, and finance to provide HR professionals and leaders with proven guidelines for evaluating key HR initiatives.

Predictive HR Analytics: Mastering the HR Metric, 2 ed.

Автор: Edwards Martin, Edwards Kirsten
Название: Predictive HR Analytics: Mastering the HR Metric, 2 ed.
ISBN: 0749484446 ISBN-13(EAN): 9780749484446
Издательство: Kogan Page
Рейтинг:
Цена: 67750.00 T
Наличие на складе: Нет в наличии.
Описание: Confidently use predictive analytic and statistical techniques to identify key relationships and trends in HR-related data to aid strategic organizational decision-making.

Big Data Analytics Strategies for the Smart Grid

Автор: Stimmel Carol L.
Название: Big Data Analytics Strategies for the Smart Grid
ISBN: 1482218283 ISBN-13(EAN): 9781482218282
Издательство: Taylor&Francis
Рейтинг:
Цена: 91860.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

By implementing a comprehensive data analytics program, utility companies can meet the continually evolving challenges of modern grids that are operationally efficient, while reconciling the demands of greenhouse gas legislation and establishing a meaningful return on investment from smart grid deployments.

Readable and accessible, Big Data Analytics Strategies for the Smart Grid addresses the needs of applying big data technologies and approaches, including Big Data cybersecurity, to the critical infrastructure that makes up the electrical utility grid. It supplies industry stakeholders with an in-depth understanding of the engineering, business, and customer domains within the power delivery market.

The book explores the unique needs of electrical utility grids, including operational technology, IT, storage, processing, and how to transform grid assets for the benefit of both the utility business and energy consumers. It not only provides specific examples that illustrate how analytics work and how they are best applied, but also describes how to avoid potential problems and pitfalls.

Discussing security and data privacy, it explores the role of the utility in protecting their customers' right to privacy while still engaging in forward-looking business practices. The book includes discussions of:

  • SAS for asset management tools
  • The AutoGrid approach to commercial analytics
  • Space-Time Insight's work at the California ISO (CAISO)

This book is an ideal resource for mid- to upper-level utility executives who need to understand the business value of smart grid data analytics. It explains critical concepts in a manner that will better position executives to make the right decisions about building their analytics programs.

At the same time, the book provides sufficient technical depth that it is useful for data analytics professionals who need to better understand the nuances of the engineering and business challenges unique to the utilities industry.



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