Safe level OUPS for improving target concept learning in imbalanced data sets

Rivera, William; Asparouhov, Ognian

doi:10.1109/secon.2015.7132940

Cited by 3 publications

(2 citation statements)

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“…It categorizes under cluster based techniques. Compute safe levels of all samples [39]. (Safe level of an instance is the number of minority samples present in its KNN).…”

Section: Ucpmot: a Rationalized Techniquementioning

confidence: 99%

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Improved classification of large imbalanced data sets using rationalized technique: Updated Class Purity Maximization Over_Sampling Technique (UCPMOT)

Patil¹,

Sonavane²

2017

J Big Data

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“…It categorizes under cluster based techniques. Compute safe levels of all samples [39]. (Safe level of an instance is the number of minority samples present in its KNN).…”

Section: Ucpmot: a Rationalized Techniquementioning

confidence: 99%

“…Compute safe levels of all cases [39]. a. Repeat step 1 to 6 by adding the obtained medoids in-hand to current minority set.…”

Section: Technique-4mentioning

confidence: 99%