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


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Цена: 6889.00р.
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При оформлении заказа до: 2025-07-28
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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
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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.


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: 6178.00 р.
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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.

Blockchain Data Analytics for Dummies

Автор: Solomon Michael G.
Название: Blockchain Data Analytics for Dummies
ISBN: 1119651778 ISBN-13(EAN): 9781119651772
Издательство: Wiley
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Цена: 4117.00 р.
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!

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)
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Цена: 6838.00 р.
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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.

The Analytic Hospitality Executive: Implementing Data Analytics in Hotels and Casinos

Автор: McGuire Kelly
Название: The Analytic Hospitality Executive: Implementing Data Analytics in Hotels and Casinos
ISBN: 1119129982 ISBN-13(EAN): 9781119129981
Издательство: Wiley
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Цена: 5542.00 р.
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Описание: Targeted analytics to address the unique opportunities in hospitality and gaming The Analytic Hospitality Executive helps decision makers understand big data and how it can drive value in the industry.

Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner

Автор: Galit Shmueli, Peter C. Bruce, Nitin R. Patel
Название: Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner
ISBN: 1118729277 ISBN-13(EAN): 9781118729274
Издательство: Wiley
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Цена: 17741.00 р.
Наличие на складе: Поставка под заказ.

Описание: Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner(R), Third Edition presents an applied approach to data mining and predictive analytics with clear exposition, hands-on exercises, and real-life case studies.

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
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Цена: 10162.00 р.
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
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Цена: 13779.00 р.
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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.

Integrating Deep Learning Algorithms to Overcome Challenges in Big Data Analytics

Автор: Sujatha R., Aarthy S. L., Vettriselvan R.
Название: Integrating Deep Learning Algorithms to Overcome Challenges in Big Data Analytics
ISBN: 0367466635 ISBN-13(EAN): 9780367466633
Издательство: Taylor&Francis
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Цена: 17609.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Data science revolves around two giants, which are big data analytics and deep learning. It is becoming challenging to handle and retrieve useful information due to how fast data is expanding. This book presents the technologies and tools to simplify and streamline the formation of big data along with deep learning systems.

Predictive Analytics Using Oracle Data Miner: Develop & Use Data Mining Models in Odm, SQL & PL/SQL

Автор: Tierney Brendan
Название: Predictive Analytics Using Oracle Data Miner: Develop & Use Data Mining Models in Odm, SQL & PL/SQL
ISBN: 0071821678 ISBN-13(EAN): 9780071821674
Издательство: McGraw-Hill
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Цена: 16129.00 р.
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Описание: Written by an Oracle ACE Director, this book shows you how to use Oracle Data Miner to create and deploy advanced data mining models and integrate your models into applications to automate the discovery and distribution of business intelligence predictions throughout the enterprise.

Lean Analytics: Measuring Your Way to Product-Market Fit

Автор: Croll Alistair, Yoskovitz Benjamin
Название: Lean Analytics: Measuring Your Way to Product-Market Fit
ISBN: 1449335675 ISBN-13(EAN): 9781449335670
Издательство: Wiley
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Цена: 5067.00 р.
Наличие на складе: Поставка под заказ.

Описание: Whether you`re a startup founder trying to disrupt an industry or an intrapreneur trying to provoke change from within, your biggest challenge is creating a product people actually want. This book shows you how to validate your initial idea, find the right customers, decide what to build, how to monetize your business, and how to spread the word.

Industrial Data Analytics for Diagnosis and Prognosis

Автор: Zhou Shiyu
Название: Industrial Data Analytics for Diagnosis and Prognosis
ISBN: 1119666287 ISBN-13(EAN): 9781119666288
Издательство: Wiley
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Цена: 17891.00 р.
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Описание:

Discover data analytics methodologies for the diagnosis and prognosis of industrial systems under a unified random effects model

In Industrial Data Analytics for Diagnosis and Prognosis - A Random Effects Modelling Approach, distinguished engineers Shiyu Zhou and Yong Chen deliver a rigorous and practical introduction to the random effects modeling approach for industrial system diagnosis and prognosis. In the book's two parts, general statistical concepts and useful theory are described and explained, as are industrial diagnosis and prognosis methods. The accomplished authors describe and model fixed effects, random effects, and variation in univariate and multivariate datasets and cover the application of the random effects approach to diagnosis of variation sources in industrial processes. They offer a detailed performance comparison of different diagnosis methods before moving on to the application of the random effects approach to failure prognosis in industrial processes and systems.

In addition to presenting the joint prognosis model, which integrates the survival regression model with the mixed effects regression model, the book also offers readers:

  • A thorough introduction to describing variation of industrial data, including univariate and multivariate random variables and probability distributions
  • Rigorous treatments of the diagnosis of variation sources using PCA pattern matching and the random effects model
  • An exploration of extended mixed effects model, including mixture prior and Kalman filtering approach, for real time prognosis
  • A detailed presentation of Gaussian process model as a flexible approach for the prediction of temporal degradation signals

Ideal for senior year undergraduate students and postgraduate students in industrial, manufacturing, mechanical, and electrical engineering, Industrial Data Analytics for Diagnosis and Prognosis is also an indispensable guide for researchers and engineers interested in data analytics methods for system diagnosis and prognosis.

Data Analytics In Biomedical Engineering And Healthcare

Автор: Lee, Kun Chang
Название: Data Analytics In Biomedical Engineering And Healthcare
ISBN: 012819314X ISBN-13(EAN): 9780128193143
Издательство: Elsevier Science
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Цена: 19875.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Data Analytics in Biomedical Engineering and Healthcare explores key applications using data analytics, machine learning, and deep learning in health sciences and biomedical data. The book is useful for those working with big data analytics in biomedical research, medical industries, and medical research scientists. The book covers health analytics, data science, and machine and deep learning applications for biomedical data, covering areas such as predictive health analysis, electronic health records, medical image analysis, computational drug discovery, and genome structure prediction using predictive modeling. Case studies demonstrate big data applications in healthcare using the MapReduce and Hadoop frameworks.


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