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

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

DOI: 10.2174/9789815079937123030002

Big Data Introduction

Pp: 1-34 (34)

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Abstract

SHS investigation development is considered from the geographical and historical viewpoint. 3 stages are described. Within Stage 1 the work was carried out in the Department of the Institute of Chemical Physics in Chernogolovka where the scientific discovery had been made. At Stage 2 the interest to SHS arose in different cities and towns of the former USSR. Within Stage 3 SHS entered the international scene. Now SHS processes and products are being studied in more than 50 countries.

Abstract

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.

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