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Current Volume 13 | Issue 11

Pattern Analysis in Education Data Mining


Volume:  12 - Issue: 01 - Date: 16-01-2023
Approved ISSN:  2278-1412
Published Id:  IJAECESTU133 |  Page No.: 312-318
Author: Rhicha Tiwari
Co- Author: 
Abstract:-Educational organizations play a vital role in the growth and development of any nation, making them an integral part of our society. The mining of information systems within educational institutions holds significant potential for the benefit of both students and the institutions themselves. By leveraging data mining techniques, a proposed system can contribute to the improvement of students' performance in various aspects such as academics, co-curricular and extra-curricular activities, behavior, and overall achievements. Through the implementation of this system, educational institutions can derive valuable insights, including the scope of different courses, identification of high-performing students, areas for improvement, and addressing job placement concerns. Data mining techniques such as data cleaning, data integration, and classification and regression analysis are utilized to extract meaningful information. The system also incorporates the use of GoogleVis to present graphical outputs, enhancing the visual representation of the data. The ultimate goal of this system is to instill confidence in the efficacy of data mining techniques, encouraging their adoption as strategic management tools within the current educational and business systems. By embracing these techniques, educational organizations can effectively leverage their data to make informed decisions and drive improvements in both student performance and institutional outcomes
Key Words:-Rectfier, Current inject techinique, Diode Rectifer, Power Improvement
Area:-Engineering
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