The Importance of Data Mining & Predictive Analysis

  • Sreejit Ramakrishnan
N/ACitations
Citations of this article
34Readers
Mendeley users who have this article in their library.

Abstract

Data mining is the process of analyzing enormous amounts of information and datasets, extracting (or “mining”) useful intelligence to help organizations solve problems, predict trends, mitigate risks, and find new opportunities. Data mining is like actual mining because, in both cases, the miners are sifting through mountains of material to find valuable resources and elements. Data mining also includes establishing relationships and finding patterns, anomalies, and correlations to tackle issues, creating actionable information in the process. Data mining is a wide-ranging and varied process that includes many different components, some of which are even confused for data mining itself.

Cite

CITATION STYLE

APA

Sreejit Ramakrishnan. (2023). The Importance of Data Mining & Predictive Analysis. International Journal of Engineering Technology and Management Sciences, 7(4), 593–598. https://doi.org/10.46647/ijetms.2023.v07i04.081

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free