Chapter 4. Fraud Detection on Spark
In Chapter 1, Spark for Machine Learning, we discussed how to get the Apache Spark system ready, and in Chapter 2, Data Preparation for Spark ML, we listed detailed instructions for data preparation. Now, in chapters 4 to 6, we will move to a new stage of utilizing Apache Spark-based systems to turn data into insights for some specific projects, which is fraud detection for this chapter; risk modeling for Chapter 5, Risk Scoring on Spark; and churn prediction for Chapter 6, Churn Prediction on Spark.
Specifically, in this chapter, we will review machine learning methods and analytical processes for a fraud detection project, and also discuss how Apache Spark makes them easy and fast. At the same time, with a real-life fraud detection example, we will illustrate our step-by-step process of obtaining fraud insight from big data.
- Spark for fraud detection
- Methods of fraud detection
- Feature preparation
- Model estimation
- Model evaluation
- Result explanation...
