Exploring Data Mining Applications and Techniques: A Comprehensive Research Survey

Authors

  • M. Vasumathy Assistant Professor, The American College, Madurai, Tamil Nadu, India
  • Ujjwal Agarwal Lecture (Information Technology), College of Computing & Information Sciences, University of Technology and Applied Sciences, Salalah, Oman
  • G. Divyamrutha Assistant Professor, Electronics and Communications Engineering Department, Mallareddy Engineering College, India
  • Harikumar Pallathadka Professor and Director, Manipur International University, Imphal, Manipur, India
  • Dolpriya Devi Manoharmayum Assistant Professor, KL College of Agriculture, Koneru Lakshmaiah Education Foundation - KLEF (Deemed To Be University), Guntur, Andhra Pradesh, India

DOI:

https://doi.org/10.15379/ijmst.v10i3.2736

Keywords:

Data Mining, KDD, Applications, Techniques, Machine Learning, Artificial Intelligence

Abstract

Every second, huge amount of data is generated and accumulated. This data could possibly be used in forecasting the future. Data mining uses this data and generates valuable information which can be transformed into relevant knowledge. Data mining is a technique of identifying outliers, behaviours, trends of patterns and relationship among huge datasets. It is hugely associated with the skill of decision making. The knowledge on a relevant subject will help in understanding future trends. This survey paper supplies the overview of data mining, the processes involved, the scope it can offer, its different techniques and multiple applications. Data mining is a great model of using data efficiently.

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Published

2023-07-17

How to Cite

[1]
M. . Vasumathy, U. Agarwal, G. . Divyamrutha, H. . Pallathadka, and D. D. . Manoharmayum, “Exploring Data Mining Applications and Techniques: A Comprehensive Research Survey”, ijmst, vol. 10, no. 3, pp. 2909-2919, Jul. 2023.