Big Data Meets Survey Science: A Collection of Innovative MethodsКНИГИ » ОС И БД
Название: Big Data Meets Survey Science: A Collection of Innovative Methods Автор: Craig A. Hill, Paul P. Biemer, Trent D. Buskirk Издательство: Wiley Год: 2020 Страниц: 761 Язык: английский Формат: pdf (true) Размер: 12.3 MB
Offers a clear view of the utility and place for survey data within the broader Big Data ecosystem.
This book presents a collection of snapshots from two sides of the Big Data perspective. It assembles an array of tangible tools, methods, and approaches that illustrate how Big Data sources and methods are being used in the survey and social sciences to improve official statistics and estimates for human populations. It also provides examples of how survey data are being used to evaluate and improve the quality of insights derived from Big Data.
Big Data Meets Survey Science: A Collection of Innovative Methods shows how survey data and Big Data are used together for the benefit of one or more sources of data, with numerous chapters providing consistent illustrations and examples of survey data enriching the evaluation of Big Data sources. Examples of how machine learning, data mining, and other data science techniques are inserted into virtually every stage of the survey lifecycle are presented. Topics covered include: Total Error Frameworks for Found Data; Performance and Sensitivities of Home Detection on Mobile Phone Data; Assessing Community Wellbeing Using Google Street View and Satellite Imagery; Using Surveys to Build and Assess RBS Religious Flag; and more.
Our research intends to develop AI-derived processes that are an alternative to manual, repetitive, or time-intensive tasks; operationalize decisions based on predefined outcome preferences and on access to input data that sufficiently inform the decisions; facilitate real-time interpretation and interactions for accessing and acting on the AI-derived decisions so users can focus on higher-order thinking and problem resolution; and improve on, take to scale, or make less opaque new Artificial Intelligence (AI) innovations.
Presents groundbreaking survey methods being utilized today in the field of Big Data Explores how machine learning methods can be applied to the design, collection, and analysis of social science data Filled with examples and illustrations that show how survey data benefits Big Data evaluation Covers methods and applications used in combining Big Data with survey statistics Examines regulations as well as ethical and privacy issues
Big Data Meets Survey Science: A Collection of Innovative Methods is an excellent book for both the survey and social science communities as they learn to capitalize on this new revolution. It will also appeal to the broader data and computer science communities looking for new areas of application for emerging methods and data sources.
Скачать Big Data Meets Survey Science: A Collection of Innovative Methods
Уважаемый посетитель, Вы зашли на сайт как незарегистрированный пользователь.
С этой публикацией часто скачивают:
Principles of Data Science Название: Principles of Data Science Автор: Hamid R. Arabnia, Kevin Daimi, Robert Stahlbock, Cristina Soviany, Leonard Heilig, Kai Brussau...
Data Science and Productivity Analytics Название: Data Science and Productivity Analytics Автор: Editors: Charles, Vincent, Aparicio, Juan, Zhu, Joe Издательство: Springer Год: 2020 Формат:...
The Mathematics of Data Название: The Mathematics of Data (IAS/Park City Mathematics) Автор: Michael W. Mahoney, John C. Duchi, Anna C. Gilbert Издательство: American...
Big Data Analytics - Methods and Applications Название: Big Data Analytics: Methods and Applications Автор: Jovan Pehcevski Издательство: Arcler Press ISBN: 1773615041 Год: 2018 (2019 Edition)...
Навигация
Вход на сайт
Реклама
Big Data Meets Survey Science: A Collection of Innovative Methods 
Название: Big Data Meets Survey Science: A Collection of Innovative Methods 
