Closest fit Approach for Atypical Value Revealing and Deciles Range Anomaly Detection Method for Recovering Misplaced value in Data Mining

Authors

  • Dr. Darshanaben Dipakkumar Pandya  Assistant Professor, Department of Computer Science, Shri C.J Patel College of Computer Studies (BCA), Visnagar, Gujarat, India
  • Bhumika Kumarbhai Modi  Assistant Professor, Department of Computer Science, Shri C.J Patel College of Computer Studies (BCA), Visnagar, Gujarat, India
  • Nidhi S. Bhavsar  Research Scholar, Department of Computer Science, Madhav University, Pindwara, Sirohi, Rajasthan, India

DOI:

https://doi.org/10.32628/CSEIT2285201

Keywords:

Data Mining, Anomalous Values, Outlier Detection Approach, Deciles Range Anomaly Detection Algorithm, Recovery.

Abstract

In identifying anomalous database values, it is currently a very active research area in the mining community. The task of identifying anomalous values is to find a small group of exceptional data objects compared to the rest of the large amount of data. The discovery of anomalous values in a group of models is an extremely recognized difficulty in the field of data mining. An outlier is a prototype that is not related to the rest of the patterns in the data set. The proposed method for searching for outliers uses an anomalous detection approach. The purpose of the approach is to find anomalous values first based on the criteria of the condition.We use the information criterion and approach named Outlier Detection to remove the outliers from the dataset and apply deciles range anomaly detection algorithm for Recovery algorithm to recover missing data from the database.

References

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  4. Darshanaben Dipakkumar Pandya, Dr. Sanjay Gaur, Detection of Anomalous value in Data Mining, Kalpa Publications in Engineering, Volume 2, pp.1-6, 2018
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  6. Darshanaben Dipakkumar Pandya, Dr. Sanjay Gaur, “Closest Fit Approach for Pattern Designing to Recovered Anomalous Values in Data Mining”, International Second World Conference on Smart Trends in Systems, Security and Sustainability (WorldS4), pp. 308 - 312, 2018

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Published

2022-10-18

Issue

Section

Research Articles

How to Cite

[1]
Dr. Darshanaben Dipakkumar Pandya, Bhumika Kumarbhai Modi, Nidhi S. Bhavsar, " Closest fit Approach for Atypical Value Revealing and Deciles Range Anomaly Detection Method for Recovering Misplaced value in Data Mining" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 8, Issue 5, pp.217-222, September-October-2022. Available at doi : https://doi.org/10.32628/CSEIT2285201