Category Archives: Fraud Detection

Real Time Fraud Detection with Sequence Mining

Real time fraud detection  is one of the use cases, where multiple components of the Big Data eco system come into play in a significant way, Hadoop batch processing  for building the predictive model and Storm for predicting fraud from … Continue reading

Posted in Big Data, Data Mining, Data Science, Fraud Detection, Hadoop and Map Reduce, Redis, Storm | Tagged , , , | 23 Comments

Relative Density and Outliers

Recently I did some work on my open source fraud analytic project beymani. I implemented one of the proximity based algorithms  using Relative Density of a data point as described in my earlier post. When the density of a data … Continue reading

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It’s a lonely life for outliers

In this post, I am back to outliers and fraud analytic. In this earlier post, I did an overview of outliers detection techniques that are being implemented with Hadoop in my open source project beymani. In this earlier post, I … Continue reading

Posted in Big Data, Data Science, Fraud Detection, Hadoop and Map Reduce, Predictive Analytic | Tagged , , , | 1 Comment

Fraudsters are not Model Citizens

In my earlier post, I did an overview of the outlier detection techniques in big data and specifically Hadoop context. As I mentioned, fraud detection is essentially translates to outlier detection in data mining parlance. In his post, I will … Continue reading

Posted in Big Data, Fraud Detection, Hadoop and Map Reduce | Tagged , , | 7 Comments

Fraudsters, Outliers and Big Data

Recently, I started working on Hadoop based solutions for fraud detection. Fraud detection is critical for many industries,  including  but not limited to financial,  insurance  and retail. Data mining is a key enabler in effective fraud detection. In this and … Continue reading

Posted in Big Data, Data Mining, Fraud Detection | Tagged , , | 20 Comments