Main Reference PaperSequence Classification for Credit-Card Fraud Detection, Expert Systems With Applications, 2018 [Python]
  • The proposed method address the fraud detection issue by employing the Long Short-Term Memory (LSTM) that assists in enhancing the accuracy of the detection. In addition, this work compares the sequence learner against the static learner.

Description
  • The proposed method address the fraud detection issue by employing the Long Short-Term Memory (LSTM) that assists in enhancing the accuracy of the detection. In addition, this work compares the sequence learner against the static learner.

  • To address the issue of fraud detection

  • To enhance the fraud identification accuracy

Aim & Objectives
  • To address the issue of fraud detection

  • To enhance the fraud identification accuracy

  • The inclusion of feature aggregation method will offer better recognition of historical record.

Contribution
  • The inclusion of feature aggregation method will offer better recognition of historical record.

  • M.E / M.Tech/ MS / Ph.D.- Customized according to the client requirements.

Project Recommended For
  • M.E / M.Tech/ MS / Ph.D.- Customized according to the client requirements.

  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

Order To Delivery
  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

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