Название: Big Data Analytics for Human-Computer Interactions: A New Era of ComputationАвтор: Kuldeep Singh Kaswan, Anupam Baliyan, Jagjit Singh Dhatterwal
Издательство: Bentham Books
Серия: IoT and Big Data Analytics (Volume 3)
Год: 2023
Страниц: 392
Язык: английский
Формат: pdf (true), epub
Размер: 25.8 MB
Big Data is playing a vital role in HCI projects across a range of industries: healthcare, cybersecurity, forensics, education, business organizations, and scientific research. Big data analytics requires advanced tools and techniques to store, process and analyze the huge volume of data. Working on HCI projects requires specific skill sets to implement IT solutions.
Big Data is a new social and economic development engine worldwide. The accumulation of data globally is approaching a critical threshold due to recent innovations in health, education, and other sectors. Data complexity depends on data volumes, diversity, speed, and truthfulness. These also affect the capacity to find Big Data analytics and associated tools.
Big Data Analytics is a significant challenge in developing highly scalable data and data integration algorithms. New algorithms, methods, systems, and applications in Big Data Analytics are potential discoveries that will effectively identify valuable and hidden information in Big Data. This chapter discusses big data, and its history; Big Data drives the world's modern organizations. There is a need to convert Big Data into Business Intelligence that enterprises can readily deploy. Better data leads to better decision-making and improved strategies for organizations.
Big Data Analytics for Human-Computer Interactions: A New Era of Computation is a comprehensive guide that discusses the evolution of Big Data in Human Computer Interaction from promise to reality. This book provides an introduction to Big Data and HCI, followed by an overview of the state-of-the-art algorithms for processing big data, Subsequent chapters also explain the characteristics, applications, opportunities and challenges of big data systems, by describing theoretical, practical, and simulation concepts of computational intelligence and big data analytics used in designing HIC systems. The book also presents solutions for analyzing complex patterns in user data and improving productivity. Readers will be able to understand the technology that drives big data solutions in HCI projects and understand its capacity in transforming an organization. The book also helps the reader to understand HCI system design and explains how to evaluate an application portfolio that can be used when selecting pilot projects.
This book is a resource for researchers, students, and professionals interested in the fields of HCI, Artificial Intelligence, data analytics, and computer engineering.
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