Название: A Closer Look at Big Data AnalyticsАвтор: R. Anandan
Издательство: Nova Science Publishers, Inc.
Год: 2021
Страниц: 378
Язык: английский
Формат: pdf (true)
Размер: 12.8 MB
The main objective of this book is to write about issues, challenges, opportunities, and solutions in novel research projects about Big Data in various domains. The topics of interest include, but are not limited to: efficient storage, management and sharing large scale of data; novel approaches for analyzing data using big data technologies; implementation of high performance and/or scalable and/or real-time computation algorithms for analyzing Big Data; usage of various data sources like historical data, social networking media, machine data and crowd-sourcing data; using machine learning, visual analytics, data mining, spatio-temporal data analysis and statistical inference in different domains (with large scale datasets); Legal and ethical issues and solutions for using, sharing and publishing large datasets; and the results of data analytics, security and privacy issues.
Big Data describes streams of data that are huge by volume and rapid generation. It is practically difficult to collect data streams of any application that has information in yottabyte such as E-commerce, Healthcare, Industries, Stock markets, Entertainment and Aeronautics. Data streams are gathered from various offline and real time values which are in different formats and complex structures. Big data analytics contributes colossal benefits in digitization of decision making processes that belong to real time application. However, the existing data streams are collected from online and offline raw data stored in cloud database. These information are analysed on multi-dimensional value based input fed into Artificial Intelligence (AI) that are implemented with Machine Learning (ML) algorithms to derive a quantitative and qualitative decisions on real-time airline process with fewer interference of the human intelligence.
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