Search Results - "Padmaja, T.M."

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    Unbalanced data classification using extreme outlier elimination and sampling techniques for fraud detection by Padmaja, T.M., Dhulipalla, N., Bapi, R.S., Krishna, P.R.

    “…Detecting fraud from the highly overlapped and imbalanced fraud dataset is a challenging task. To solve this problem, we propose a new approach called extreme…”
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    Conference Proceeding
  2. 2

    Majority filter-based minority prediction (MFMP): An approach for unbalanced datasets by Padmaja, T.M., Krishna, P.R., Bapi, R.S.

    “…For many data mining and machine learning applications predicting minority class samples from skewed unbalanced data sets is a crucial problem. To address this…”
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    Conference Proceeding