Authors :
Golam Kaderye; Ahsan Arif; Ronjon Kundu
Volume/Issue :
Volume 9 - 2024, Issue 3 - March
Google Scholar :
https://tinyurl.com/3z6588u9
Scribd :
https://tinyurl.com/3a6wps87
DOI :
https://doi.org/10.38124/ijisrt/IJISRT24MAR1384
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
A revolutionary technique for managing
massive amounts of data from databases is data mining.
These days, information is more commonplace in all
types of businesses and industries. For a range of
business objectives, fields choose data mining
approaches, and data mining is what makes it possible
for fields to establish the ideal customer baseline and
cultivate long-lasting relationships. Statistical analysis,
machine learning, predictive modelling, and database
approaches are all combined in knowledge discovery.
This review research focuses on and quickly discusses
the various domains in which data mining is applied.
Here, we discuss several sectors where data mining is
relevant in order to comprehend its significance. We also
discuss the numerous technologies used in related fields,
which depend on user desire. To learn about it, many
algorithms are described.
Keywords :
Data, Information, Knowledge, Data Mining, Domains, Techniques, Tools.
A revolutionary technique for managing
massive amounts of data from databases is data mining.
These days, information is more commonplace in all
types of businesses and industries. For a range of
business objectives, fields choose data mining
approaches, and data mining is what makes it possible
for fields to establish the ideal customer baseline and
cultivate long-lasting relationships. Statistical analysis,
machine learning, predictive modelling, and database
approaches are all combined in knowledge discovery.
This review research focuses on and quickly discusses
the various domains in which data mining is applied.
Here, we discuss several sectors where data mining is
relevant in order to comprehend its significance. We also
discuss the numerous technologies used in related fields,
which depend on user desire. To learn about it, many
algorithms are described.
Keywords :
Data, Information, Knowledge, Data Mining, Domains, Techniques, Tools.
