The Study of Data Mining Aspects in Web-Based Educational System

Exploring the Potential of Data Mining in Web-Based Educational Systems

Authors

  • Ritika . Author
  • Dr. Kalpana Midha Author

Keywords:

data mining, web-based educational system, secret trends, associations, dataset attributes, tacit knowledge, unknown knowledge, useful knowledge, weather forecasting, engineering, web learning, marketing, medical, education, financial, sport, decision-makers, problems, educational data mining, comprehensive assessment, academic area, hidden connections, data collection

Abstract

Data mining (DM) is a tool for finding secret trends and for revealing associations between dataset attributes. Data mining is capable of collecting tacit, previously unknown and potentially useful knowledge from data. The techniques become popular from past years in many application areas such as weather forecasting, engineering, web learning, marketing, medical, education, financial, sport etc. This indicates that the potential of data mining tools to provide novel solutions for decision-makers to solve problems exists in particular areas. The data examined and the information gathered from the field of education utilizing DM techniques is referred to as educational data mining. EDM is able to address the rising need for a comprehensive assessment of the new area of EDM. The EDM is a very new and very small academic area. The main goal of data mining is the detection of hidden connections between objects in a data collection.

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Published

2019-04-01

How to Cite

[1]
“The Study of Data Mining Aspects in Web-Based Educational System: Exploring the Potential of Data Mining in Web-Based Educational Systems”, JASRAE, vol. 16, no. 5, pp. 1426–1431, Apr. 2019, Accessed: Jan. 20, 2026. [Online]. Available: https://ignited.in/index.php/jasrae/article/view/11124