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Predictive analytics, 


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Цена: 137810.00T
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Название:  Predictive analytics
ISBN: 9780367537463
Издательство: Taylor&Francis
Классификация:


















ISBN-10: 036753746X
Обложка/Формат: Hardcover
Страницы: 274
Вес: 0.57 кг.
Дата издания: 14.01.2021
Серия: Advanced research in reliability and system assurance engineering
Язык: English
Иллюстрации: 70 tables, black and white; 50 illustrations, black and white
Размер: 23.88 x 15.49 x 2.03 cm
Подзаголовок: Modeling and optimization
Рейтинг:
Поставляется из: Европейский союз
Описание: Predictive analytics refers to making predictions about the future based on different parameters which are historical data, machine learning, and artificial intelligence. This book provides the most recent advances in the field along with case studies and realworld examples. It discusses predictive modeling and analytics in reliability engineering and introduces current achievements and applications of artificial intelligence, data mining, and other techniques in supply chain management. It covers applications to reliability engineering practice, presents numerous examples to illustrate the theoretical results, and considers and analyses case studies and realword examples. The book is written for researchers and practitioners in the field of system reliability, quality, supply chain management, and logistics management. Students taking courses in these areas will also find this book of interest.
Дополнительное описание: Chapter 1 Role of MCDM in Software Reliability Engineering Chapter 2 Fault Tree Analysis of a Computerized Numerical Control Turning Center Chapter 3 How to Schedule Elective Patients in Hospitals to Gain Full Utilization of Resources and Eliminate Patien


Predictive Control for Linear and Hybrid Systems

Автор: Borrelli
Название: Predictive Control for Linear and Hybrid Systems
ISBN: 1107652871 ISBN-13(EAN): 9781107652873
Издательство: Cambridge Academ
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Цена: 63350.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: With a simple, unified approach, and with consideration of real-time applications, this book covers the theory of stability, feasibility, and robustness of model predictive control (MPC). It is for graduate and postgraduate students, as well as advanced control practitioners interested in the theory and/or implementation of predictive control.

Big Data Analytics and Computing for Digital Forensic Investigations

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
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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.

Engineering analytics :

Автор: Luis C Rabelo Mendizabal
Название: Engineering analytics :
ISBN: 0367685345 ISBN-13(EAN): 9780367685348
Издательство: Taylor&Francis
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Цена: 148010.00 T
Наличие на складе: Невозможна поставка.
Описание: This book is intended to be an introduction to Engineering Analytics that can be used to improve performance tracking, customer segmentation for resource optimization, patterns and classification strategies, and logistics control towers.

Stabilizing and Optimizing Control for Time-Delay Systems

Автор: Wook Hyun Kwon; PooGyeon Park
Название: Stabilizing and Optimizing Control for Time-Delay Systems
ISBN: 3030064964 ISBN-13(EAN): 9783030064969
Издательство: Springer
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Цена: 93160.00 T
Наличие на складе: Поставка под заказ.
Описание: Stabilizing and Optimizing Control for Time-Delay Systems introduces three important classes of stabilizing controls for time-delay systems: non-optimal (without performance criteria); suboptimal (including guaranteed costs); and optimal controls. Each class is treated in detail and compared in terms of prior control structures. State- and input-delayed systems are considered. The book provides a unified mathematical framework with common notation being used throughout.Receding-horizon, or model predictive, linear quadratic (LQ), linear-quadratic-Gaussian and H? controls for time-delay systems are chosen as optimal stabilizing controls. Cost monotonicity is investigated in order to guarantee the asymptotic stability of closed-loop systems operating with such controls.The authors use guaranteed LQ and H? controls as representative sub-optimal methods; these are obtained with pre-determined control structures and certain upper bounds of performance criteria. Non-optimal stabilizing controls are obtained with predetermined control structures but with no performance criteria. Recently developed inequalities are exploited to obtain less conservative results.To facilitate computation, the authors use linear matrix inequalities to represent gain matrices for non-optimal and sub-optimal stabilizing controls, and all the initial conditions of coupled differential Riccati equations of optimal stabilizing controls. Numerical examples are provided with MATLAB® codes (downloadable from http://extras.springer.com/) to give readers guidance in working with more difficult optimal and suboptimal controls.Academic researchers studying control of a variety of real processes in chemistry, biology, transportation, digital communication networks and mechanical systems that are subject to time delays will find the results presented in Stabilizing and Optimizing Control for Time-Delay Systems to be helpful in their work. Practitioners working in related sectors of industry will also find this book to be of use in developing real-world control systems for the many time-delayed processes they encounter.

Logistics, Supply Chain and Financial Predictive Analytics

Автор: Deep
Название: Logistics, Supply Chain and Financial Predictive Analytics
ISBN: 9811308713 ISBN-13(EAN): 9789811308710
Издательство: Springer
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Цена: 167700.00 T
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Описание: and determining initial, basic and feasible solutions for transportation problems by means of the "supply demand reparation method" and "continuous allocation method." In addition, the book delves into a comparison study on exponential smoothing and the Arima model for fuel prices;

Operational excellence in the new digital era /

Автор: Badiru, Adedeji Bodunde,
Название: Operational excellence in the new digital era /
ISBN: 0367509814 ISBN-13(EAN): 9780367509811
Издательство: Taylor&Francis
Рейтинг:
Цена: 53070.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Operational excellence, as a quest in the prevailing digital era, is predicated on a systems view of the operating environments in business, industry, government, academia, and other organizational entities. This book uses a systems-based approach to how operational excellence can be pursued, achieved, and sustained.

Model Predictive Control

Автор: Camacho
Название: Model Predictive Control
ISBN: 1852336943 ISBN-13(EAN): 9781852336943
Издательство: Springer
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Цена: 65210.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The second edition of "Model Predictive Control" provides a thorough introduction to theoretical and practical aspects of the most commonly used MPC strategies. It bridges the gap between the powerful but often abstract techniques of control researchers and the more empirical approach of practitioners.

Demand Prediction in Retail: A Practical Guide to Leverage Data and Predictive Analytics

Автор: Cohen Maxime C., Gras Paul-Emile, Pentecoste Arthur
Название: Demand Prediction in Retail: A Practical Guide to Leverage Data and Predictive Analytics
ISBN: 3030858545 ISBN-13(EAN): 9783030858544
Издательство: Springer
Рейтинг:
Цена: 60550.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: From data collection to evaluation and visualization of prediction results, this book provides a comprehensive overview of the process of predicting demand for retailers.

Foundations of Predictive Analytics

Автор: Wu, James
Название: Foundations of Predictive Analytics
ISBN: 1439869464 ISBN-13(EAN): 9781439869468
Издательство: Taylor&Francis
Рейтинг:
Цена: 100030.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.

Machine Learning Toolbox for Social Scientists

Автор: Aydede, Yigit
Название: Machine Learning Toolbox for Social Scientists
ISBN: 1032463953 ISBN-13(EAN): 9781032463957
Издательство: Taylor&Francis
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Цена: 83690.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.

Predictive Analytics: Data Mining, Machine Learning and Data Science for Practitioners

Автор: Delen Dursun
Название: Predictive Analytics: Data Mining, Machine Learning and Data Science for Practitioners
ISBN: 0136738516 ISBN-13(EAN): 9780136738510
Издательство: Pearson Education
Рейтинг:
Цена: 50150.00 T
Наличие на складе: Поставка под заказ.
Описание: Use Predictive Analytics to Uncover Hidden Patterns and Correlations and Improve Decision-Making

Using predictive analytics techniques, decision-makers can uncover hidden patterns and correlations in their data and leverage these insights to improve many key business decisions. In this thoroughly updated guide, Dr. Dursun Delen illuminates state-of-the-art best practices for predictive analytics for both business professionals and students.


Delen provides a holistic approach covering key data mining processes and methods, relevant data management techniques, tools and metrics, advanced text and web mining, big data integration, and much more. Balancing theory and practice, Delen presents intuitive conceptual illustrations, realistic example problems, and real-world case studies--including lessons from failed projects. It is all designed to help you gain a practical understanding you can apply for profit.

* Leverage knowledge extracted via data mining to make smarter decisions
* Use standardized processes and workflows to make more trustworthy predictions
* Predict discrete outcomes (via classification), numeric values (via regression), and changes over time (via time-series forecasting)
* Understand predictive algorithms drawn from traditional statistics and advanced machine learning
* Discover cutting-edge techniques, and explore advanced applications ranging from sentiment analysis to fraud detection


Logistics, Supply Chain and Financial Predictive Analytics

Автор: Kusum Deep; Madhu Jain; Said Salhi
Название: Logistics, Supply Chain and Financial Predictive Analytics
ISBN: 9811345228 ISBN-13(EAN): 9789811345227
Издательство: Springer
Рейтинг:
Цена: 167700.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book addresses a broad range of problems commonly encountered in the fields of financial analysis, logistics and supply chain management, such as the use of big data analytics in the banking sector. Divided into twenty chapters, some of the contemporary topics discussed in the book are co-operative/non-cooperative supply chain models for imperfect quality items with trade-credit financing; a non-dominated sorting water cycle algorithm for the cardinality constrained portfolio problem; and determining initial, basic and feasible solutions for transportation problems by means of the “supply demand reparation method” and “continuous allocation method.” In addition, the book delves into a comparison study on exponential smoothing and the Arima model for fuel prices; optimal policy for Weibull distributed deteriorating items varying with ramp type demand rate and shortages; an inventory model with shortages and deterioration for three different demand rates; outlier labeling methods for medical data; a garbage disposal plant as a validated model of a fault-tolerant system; and the design of a “least cost ration formulation application for cattle”; a preservation technology model for deteriorating items with advertisement dependent demand and trade credit; a time series model for stock price forecasting in India; and asset pricing using capital market curves.The book offers a valuable asset for all researchers and industry practitioners working in these areas, giving them a feel for the latest developments and encouraging them to pursue further research in this direction.


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