Big Data Analytics for Human-Computer Interactions: A New Era of Computation

HCI with Big Data Analytics

Author(s): Kuldeep Singh Kaswan*, Anupam Baliyan*, Jagjit Singh Dhatterwal* and Om Prakash Kaiwartya * .

Pp: 347-358 (12)

DOI: 10.2174/9789815079937123030013

* (Excluding Mailing and Handling)


In healthcare, education, large companies, and scientific research, extensive data have played a critical role. Big data analytics demand modern tools and technologies to store, process, and analyse large data volumes. Big data comprise extensive unstructured data, which needs to be examined in real-time before making use of it. Many academics are interested in advanced technologies and methods to tackle the problems in comprehensive data management. The business enterprises, public sector, and academic institutions have received considerable attention due to their Big Data. This chapter summarises the latest algorithms involved in Big Data processing and the associated features, applications, possibilities, and problems. This chapter also provides an overview of the state-of-the-art algorithms for processing big data and challenges in human-computer interaction with big data analytics. 

Keywords: Astrophysical computations, Big data analytics, Cloud computing, Constraint satisfaction problem, Electronic medical records, FMRI, Geospatial modeling, Graph data, Internet of everything, IoT, Hadoop-based technologies, Hybrid clouds, MRI, Quantum mechanical medialization, RDBMS, Satellite imaging, Sensors, Text data, Radar, World wide web.

Related Journals
Related Books
© 2024 Bentham Science Publishers | Privacy Policy