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Outlier Detection for Improving Data Robust by ODAD Clustering Technique
2019
International Journal of Advanced Trends in Computer Science and Engineering
The paper presents the concept of outliers and its detection by applying an altogether a new approach. Outliers are the odd man out data points falling under the domain of data mining. Data Mining is the evolving heading, now a days because of its ability to deal large amount of data. This paper identifies the outliers in the dataset through an algorithm named outlier detection based on angle and distance based (ODAD) which is based on clustering techniques (which is combination of the angle
doi:10.30534/ijatcse/2019/130862019
fatcat:z7pmxmn735czhpknlmgruchbfu