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Improving fraud prediction with incremental data balancing technique for massive data streams

By Rafiq Ahmed Mohammed and others
The performance of classification algorithms with a massive and highly imbalanced data stream depends upon efficient balancing strategy. Some techniques of balancing strategy have been applied in the past with Batch data to resolve the class imbalance problem. This paper proposes a new incremental data balancing framework which can work... Show more
October 21, 2019
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Improving fraud prediction with incremental data balancing technique for massive data streams
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