Observation on the Information Retrieval Algorithm Based on Enterprise Correlation Financial Analysis under the Background of Big Data

Authors

  • Jambi Ratna Raja Kumar Principal, Genba Sopanrao Moze College of Engineering, Balewadi, Pune-411045
  • Alam N. Shaikh Principal of VPPCOE&VA Sion, Mumbai
  • Biplab Kumar Sarkar Mahatma Education Society’s, Pillai Hoc College of Engineering &Technology Rasayani Taluka Panvel, Dist, Navi Mumbai, Maharashtra 410207, India.

Keywords:

enormous, vital, accentuates, estimating, risk appraisal, dynamic, capability

Abstract

The ascent of large information has delivered a change in outlook in the monetary examination scene for ventures. With the immense measures of information produced day to day, customary data recovery calculations face remarkable difficulties in actually extricating significant and significant experiences from this abundance of data. This paper presents a perception on the use of data recovery calculations in light of big business connection monetary examination with regards to enormous information. The discoveries from this perception shed light on the significance of consolidating progressed data recovery calculations in big business connection monetary examination under the background of enormous information. It features the meaning of utilizing huge information to improve monetary estimating, risk appraisal, and dynamic cycles. Also, the review accentuates the requirement for nonstop innovative work in data recovery strategies to adapt to the consistently developing volume of monetary information in the time of huge information. At last, this paper means to give important bits of knowledge to monetary experts, specialists, and undertakings hoping to tackle the capability of large information and data recovery calculations for vital independent direction and supportable development.

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Published

16.08.2023

How to Cite

Kumar, J. R. R. ., Shaikh, A. N. ., & Sarkar, B. K. . (2023). Observation on the Information Retrieval Algorithm Based on Enterprise Correlation Financial Analysis under the Background of Big Data. International Journal of Intelligent Systems and Applications in Engineering, 11(10s), 347–359. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/3290

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Research Article

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