Fraud detection machine learning on Enron enteprise dataset

ABSTRACT

The Enron scandal, publicized in October 2001, eventually led to the bankruptcy of the Enron Corporation, an American energy company based in Houston, Texas, and the de facto dissolution of Arthur Andersen, which was one of the five largest audit and accountancy partnerships in the world. In addition to being the largest bankruptcy reorganization in American history at that time, Enron was cited as the biggest audit failure. This will be the scenario to use machine learning regarding frauds. There are 146 users with 21 features each. However, only the relevants one will be selected and considered for the classifier.

GOAL

Identify fraud patterns usind enron email and financial dataset.

WORKFLOW

METHOD

Studying enron large dataset, I will extract only few relevant features to train the classifier to precdit fraud patterns. I also will use regression to predict targets.

CONCLUSION

Yet to be filled