Tendency Moderate Perspective to Recover Absent Number in Data Mining

Authors

  • Sunil Kumar Paliwal Associate Professor, Department of Computer Science, SGI, Upali oden, Nathdwara, Rajasthan, India

Abstract

In this paper, we discussed tendency perspective to find the nearest value of missing value, this missing value present in any numeric database. If missing value can be predicted by any statistical method, then it will help to improve the result in data analysis. Many universities and organization are interested in how to recover missing value which can help to reduce problems in database analysis and used for different purpose. Missing values affect directly on result

In this work, a method has been proposed, by this tendency method. The missing value is replaced by the most probable value. Our main aim was to find  out the  missing  value for  incomplete  database  with  many  missing  values.  Tendency perspective is better for number related database.

Keywords: Data mining, Tendency Perspective, Data making, Incomplete Database, Missing numeric value.

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Published

2022-11-30

How to Cite

Sunil Kumar Paliwal. (2022). Tendency Moderate Perspective to Recover Absent Number in Data Mining. International Journal of Engineering Technology and Computer Research, 10(6). Retrieved from https://ijetcr.org/index.php/ijetcr/article/view/542

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Section

Articles