Monthly Archives: October 2013

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

Predicting Customer Loyalty Trajectory

Customer loyalty is the strength of the relationship a customer has with a business as manifested by customer purchasing more and at high frequency. There are various signal or events related to a customer’s engagement with a business. Some examples … Continue reading

Posted in Big Data, Data Mining, Data Science, Hadoop and Map Reduce, Marketing Analytic | Tagged , , | Leave a comment