Автор: Murugan Anandarajan Название: Aligning business strategies and analytics. ISBN: 3319932985 ISBN-13(EAN): 9783319932989 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book examines issues related to the alignment of business strategies and analytics. Chapter 4 focuses on a case study of ARI, a leading fleet management company, and explores the application of advanced analytics to various facets of the industry and the company`s experience in aligning analytics with its business strategy.
Описание: This proceedings volume presents new methods and applications in Operational Research and Management Science with a special focus on Business Analytics. Featuring selected contributions from the XIV Balkan Conference on Operational Research held in Thessaloniki, Greece in 2020 (BALCOR 2020), it addresses applications and methodological tools or techniques in various areas of Operational Research, such as agent-based modelling, big data and business analytics, data envelopment analysis, data mining, decision support systems, fuzzy systems, game theory, heuristics, metaheuristics and nature inspired optimization algorithms, linear and nonlinear programming, machine learning, multiple criteria decision analysis, network design and optimization, queuing theory, simulation and statistics.
Автор: S. Finlay Название: Predictive Analytics, Data Mining and Big Data ISBN: 1349478687 ISBN-13(EAN): 9781349478682 Издательство: Springer Рейтинг: Цена: 4890.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This in-depth guide provides managers with a solid understanding of data and data trends, the opportunities that it can offer to businesses, and the dangers of these technologies. Written in an accessible style, Steven Finlay provides a contextual roadmap for developing solutions that deliver benefits to organizations.
Автор: Abraham Duarte; Manuel Laguna; Rafael Marti Название: Metaheuristics for Business Analytics ISBN: 3319681176 ISBN-13(EAN): 9783319681177 Издательство: Springer Рейтинг: Цена: 7685.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This essential metaheuristics tutorial provides descriptions and practical applications in the area of business analytics. It addresses key problems in predictive and prescriptive analysis, while also illustrating how problems that arise in business analytics can be modelled and how metaheuristics can be used to find high-quality solutions.
Автор: Argote Cusi Milenka Linneth, Parra Bernal Leуn Darнo Название: Global Entrepreneurship Analytics: Using GEM Data ISBN: 0367542099 ISBN-13(EAN): 9780367542092 Издательство: Taylor&Francis Рейтинг: Цена: 3367.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This innovative book proposes new methodologies for the measurement of entrepreneurship by applying techniques of demography, engineering, mathematics and statistics. This book will be of value to students at an advanced level, academics, and researchers in the fields of Entrepreneurship, Business analytics and Research Methodology.
Автор: Parra Bernal, Leon Dario , Argote Cusi, Milenka L Название: Global Entrepreneurship Analytics ISBN: 0367321173 ISBN-13(EAN): 9780367321178 Издательство: Taylor&Francis Рейтинг: Цена: 7961.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This innovative book proposes new methodologies for the measurement of entrepreneurship by applying techniques of demography, engineering, mathematics and statistics. This book will be of value to students at an advanced level, academics, and researchers in the fields of Entrepreneurship, Business analytics and Research Methodology.
Автор: Liebowitz, Jay Название: Big Data and Business Analytics ISBN: 1466565780 ISBN-13(EAN): 9781466565784 Издательство: Taylor&Francis Рейтинг: Цена: 9492.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Ohlhorst Название: Big Data Analytics - Turning Big Data into Big Money ISBN: 1118147596 ISBN-13(EAN): 9781118147597 Издательство: Wiley Рейтинг: Цена: 6018.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Zhu Joe, Charles Vincent Название: Data-Enabled Analytics: Dea for Big Data ISBN: 3030751619 ISBN-13(EAN): 9783030751616 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book explores the novel uses and potentials of Data Envelopment Analysis (DEA) under big data. Considering the vast literature on DEA, one could say that DEA has been and continues to be, a widely used technique both in performance and productivity measurement, having covered a plethora of challenges and debates within the modelling framework.
Автор: Ghavami Peter Название: Big Data Analytics Methods ISBN: 1547417951 ISBN-13(EAN): 9781547417957 Издательство: Walter de Gruyter Рейтинг: Цена: 12831.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Big Data Analytics Methods unveils secrets to advanced analytics techniques ranging from machine learning, random forest classifiers, predictive modeling, cluster analysis, natural language processing (NLP), Kalman filtering and ensembles of models for optimal accuracy of analysis and prediction. More than 100 analytics techniques and methods provide big data professionals, business intelligence professionals and citizen data scientists insight on how to overcome challenges and avoid common pitfalls and traps in data analytics.
The book offers solutions and tips on handling missing data, noisy and dirty data, error reduction and boosting signal to reduce noise. It discusses data visualization, prediction, optimization, artificial intelligence, regression analysis, the Cox hazard model and many analytics using case examples with applications in the healthcare, transportation, retail, telecommunication, consulting, manufacturing, energy and financial services industries. This book's state of the art treatment of advanced data analytics methods and important best practices will help readers succeed in data analytics.
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