Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/121011
Title: The application of big data in the insurance market
Other Titles: Management sciences and engineering
Authors: Kaswan, Kuldeep Singh
Dhatterwal, Jagjit Singh
Batra, Reenu
Sood, Kiran
Grima, Simon
Keywords: Insurance -- Data processing
Insurance -- Technological innovations
Artificial intelligence -- Economic aspects
Computational intelligence
Big data
Issue Date: 2024
Publisher: River Publishers
Citation: Kaswan, K. S., Dhatterwal, J. S., Batra, R., Sood, K., & Grima, S. (2024). The application of big data in the insurance market. In J. P. Davim, C. Machado & H. Schaffers (Eds.), Management sciences and engineering (pp. 91-116). Denmark: River Publishers
Abstract: The term “big data” was used to characterise the enormous quantities of data that conventional techniques for managing such data cannot handle. Big data is crucial in numerous fields, such as agriculture, banking, data mining, education, chemistry, finance, cloud technology, marketing, and healthcare stocks. Analysis of massive datasets for hidden insights and previously unexplained correlations that might guide strategic planning and decision- making is known as “big data analytics.” Big data’s rising popularity may be attributed to its fast growth and many applications, such as Apache Hadoop, an open-source technology written in Java and supported by the Linux platform. The primary objective of this chapter is to provide a suitable and free option for big data applications in a network system and to discuss its advantages and simplicity of usage.
URI: https://www.um.edu.mt/library/oar/handle/123456789/121011
Appears in Collections:Scholarly Works - FacEMAIns

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