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It`s All Analytics!, Burk, Scott , Miner, Gary


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Цена: 60220.00T
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Склад Америка: 199 шт.  
При оформлении заказа до: 2025-08-18
Ориентировочная дата поставки: конец Сентября - начало Октября
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Автор: Burk, Scott , Miner, Gary
Название:  It`s All Analytics!
Перевод названия: Скотт Бёрк, Гари Майнер: Это всё аналитика!
ISBN: 9780367359683
Издательство: Taylor&Francis
Классификация:


ISBN-10: 0367359685
Обложка/Формат: Hardcover
Страницы: 288
Вес: 0.75 кг.
Дата издания: 04.06.2020
Язык: English
Иллюстрации: 1 tables, black and white; 20 illustrations, black and white
Размер: 183 x 261 x 26
Читательская аудитория: Tertiary education (us: college)
Основная тема: Management of IT
Подзаголовок: The foundations of al, big data and data science landscape for professionals in healthcare, business, and government
Рейтинг:
Поставляется из: Европейский союз
Описание: This book, the first in a series of three, provides a look at the foundations of artificial intelligence and analytics and why readers need an unbiased understanding of the subject.

Learning Analytics: Fundaments, Applications, and Trends

Автор: Alejandro Pe?a-Ayala
Название: Learning Analytics: Fundaments, Applications, and Trends
ISBN: 3319529765 ISBN-13(EAN): 9783319529769
Издательство: Springer
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Цена: 149060.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

Learning Analytics in Higher Education.- A Literature Review.- Teaching and Learning Analytics to support Teacher Inquiry: A Systematic Literature Review.- A Landscape of Learning Analytics: An Exercise to Highlight the Nature of an Emergent Field.- A Review of Recent Advances in Adaptive Assessment.- Data-driven Personalization of Student Learning Support in Higher Education.- Overcoming the MOOC data deluge with learning analytic dashboards.- A Priori Knowledge in Learning Analytics.- Knowledge Discovery from the Programme for International Student Assessment.- A Learning Analytics Approach for Job Scheduling on Cloud Servers


Advances in Healthcare Informatics and Analytics

Автор: Ashish Gupta; Vimla L. Patel; Robert A. Greenes
Название: Advances in Healthcare Informatics and Analytics
ISBN: 3319232932 ISBN-13(EAN): 9783319232935
Издательство: Springer
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Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This important new volume presents recent research in healthcare information technology and analytics. and failure in a dynamic decision environment, particularly in treating patients with a chronic disease.Other chapters look at such topics as the impact of information technology integration in integrated delivery systems;

Learning Analytics: Using Talent Data to Improve Business Outcomes

Автор: Hall Cristina, II John R. Mattox, Parskey Peggy
Название: Learning Analytics: Using Talent Data to Improve Business Outcomes
ISBN: 1789662982 ISBN-13(EAN): 9781789662986
Издательство: Неизвестно
Цена: 164150.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Utilize organizational data and analytics to make better decisions about managing the learning and development of your workforce.

Smart Healthcare Analytics in IoT Enabled Environment

Автор: Prasant Kumar Pattnaik
Название: Smart Healthcare Analytics in IoT Enabled Environment
ISBN: 3030375501 ISBN-13(EAN): 9783030375508
Издательство: Springer
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Цена: 149060.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book addresses various aspects of how smart healthcare can be used to detect and analyze diseases, the underlying methodologies, and related security concerns.

Healthcare Data Analytics

Автор: Reddy Chandan K.
Название: Healthcare Data Analytics
ISBN: 1482232111 ISBN-13(EAN): 9781482232110
Издательство: Taylor&Francis
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Цена: 127600.00 T
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Описание:

At the intersection of computer science and healthcare, data analytics has emerged as a promising tool for solving problems across many healthcare-related disciplines. Supplying a comprehensive overview of recent healthcare analytics research, Healthcare Data Analytics provides a clear understanding of the analytical techniques currently available to solve healthcare problems.

The book details novel techniques for acquiring, handling, retrieving, and making best use of healthcare data. It analyzes recent developments in healthcare computing and discusses emerging technologies that can help improve the health and well-being of patients.

Written by prominent researchers and experts working in the healthcare domain, the book sheds light on many of the computational challenges in the field of medical informatics. Each chapter in the book is structured as a "survey-style" article discussing the prominent research issues and the advances made on that research topic. The book is divided into three major categories:

  • Healthcare Data Sources and Basic Analytics - details the various healthcare data sources and analytical techniques used in the processing and analysis of such data
  • Advanced Data Analytics for Healthcare - covers advanced analytical methods, including clinical prediction models, temporal pattern mining methods, and visual analytics
  • Applications and Practical Systems for Healthcare - covers the applications of data analytics to pervasive healthcare, fraud detection, and drug discovery along with systems for medical imaging and decision support

Computer scientists are usually not trained in domain-specific medical concepts, whereas medical practitioners and researchers have limited exposure to the data analytics area. The contents of this book will help to bring together these diverse communities by carefully and comprehensively discussing the most relevant contributions from each domain.


Business Intelligence Strategy and Big Data Analytics

Автор: Williams, Steve
Название: Business Intelligence Strategy and Big Data Analytics
ISBN: 0128091983 ISBN-13(EAN): 9780128091982
Издательство: Elsevier Science
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Цена: 35920.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

Business Intelligence Strategy and Big Data Analytics is written for business leaders, managers, and analysts - people who are involved with advancing the use of BI at their companies or who need to better understand what BI is and how it can be used to improve profitability. It is written from a general management perspective, and it draws on observations at 12 companies whose annual revenues range between $500 million and $20 billion. Over the past 15 years, my company has formulated vendor-neutral business-focused BI strategies and program execution plans in collaboration with manufacturers, distributors, retailers, logistics companies, insurers, investment companies, credit unions, and utilities, among others. It is through these experiences that we have validated business-driven BI strategy formulation methods and identified common enterprise BI program execution challenges.

In recent years, terms like "big data" and "big data analytics" have been introduced into the business and technical lexicon. Upon close examination, the newer terminology is about the same thing that BI has always been about: analyzing the vast amounts of data that companies generate and/or purchase in the course of business as a means of improving profitability and competitiveness. Accordingly, we will use the terms BI and business intelligence throughout the book, and we will discuss the newer concepts like big data as appropriate. More broadly, the goal of this book is to share methods and observations that will help companies achieve BI success and thereby increase revenues, reduce costs, or both.


  • Provides ideas for improving the business performance of one's company or business functions
  • Emphasizes proven, practical, step-by-step methods that readers can readily apply in their companies
  • Includes exercises and case studies with road-tested advice about formulating BI strategies and program plans

Advanced Business Analytics

Автор: Fausto Pedro Garc?a M?rquez; Benjamin Lev
Название: Advanced Business Analytics
ISBN: 3319358405 ISBN-13(EAN): 9783319358406
Издательство: Springer
Рейтинг:
Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book describes advanced business analytics and shows how to apply them to many different professional areas of engineering and management.

Practical Graph Analytics with Apache Giraph

Автор: Roman Shaposhnik; Claudio Martella; Dionysios Logo
Название: Practical Graph Analytics with Apache Giraph
ISBN: 1484212525 ISBN-13(EAN): 9781484212523
Издательство: Springer
Рейтинг:
Цена: 41920.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Practical Graph Analytics with Apache Giraph helps you build data mining and machine learning applications using the Apache Foundation’s Giraph framework for graph processing. This is the same framework as used by Facebook, Google, and other social media analytics operations to derive business value from vast amounts of interconnected data points. Graphs arise in a wealth of data scenarios and describe the connections that are naturally formed in both digital and real worlds. Examples of such connections abound in online social networks such as Facebook and Twitter, among users who rate movies from services like Netflix and Amazon Prime, and are useful even in the context of biological networks for scientific research. Whether in the context of business or science, viewing data as connected adds value by increasing the amount of information available to be drawn from that data and put to use in generating new revenue or scientific opportunities. Apache Giraph offers a simple yet flexible programming model targeted to graph algorithms and designed to scale easily to accommodate massive amounts of data. Originally developed at Yahoo!, Giraph is now a top top-level project at the Apache Foundation, and it enlists contributors from companies such as Facebook, LinkedIn, and Twitter. Practical Graph Analytics with Apache Giraph brings the power of Apache Giraph to you, showing how to harness the power of graph processing for your own data by building sophisticated graph analytics applications using the very same framework that is relied upon by some of the largest players in the industry today.

Video Analytics for Business Intelligence

Автор: Caifeng Shan; Fatih Porikli; Tao Xiang; Shaogang G
Название: Video Analytics for Business Intelligence
ISBN: 3662520281 ISBN-13(EAN): 9783662520284
Издательство: Springer
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Цена: 156720.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book examines the latest developments in video analytics for business intelligence applications, assessing the state of the art and serving as a resource for potential applications and successful practice. Benefits academic and commercial practitioners.

Big Data and Analytics

Автор: Vincenzo Morabito
Название: Big Data and Analytics
ISBN: 3319364766 ISBN-13(EAN): 9783319364766
Издательство: Springer
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Цена: 55890.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents and discusses the main strategic and organizational challenges posed by Big Data and analytics in a manner relevant to both practitioners and scholars.

Predictive Analytics with Microsoft Azure Machine Learning 2nd Edition

Автор: Valentine Fontama; Roger Barga; Wee Hyong Tok
Название: Predictive Analytics with Microsoft Azure Machine Learning 2nd Edition
ISBN: 1484212010 ISBN-13(EAN): 9781484212011
Издательство: Springer
Рейтинг:
Цена: 41920.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Predictive Analytics with Microsoft Azure Machine Learning, Second Edition is a practical tutorial introduction to the field of data science and machine learning, with a focus on building and deploying predictive models.

Advanced Business Analytics

Автор: Fausto Pedro Garc?a M?rquez; Benjamin Lev
Название: Advanced Business Analytics
ISBN: 331911414X ISBN-13(EAN): 9783319114149
Издательство: Springer
Рейтинг:
Цена: 102480.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book describes advanced business analytics and shows how to apply them to many different professional areas of engineering and management.


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