The basic ideas of anomaly detection are simple. You build a model and you look for data points that don’t match that model. Building a practical anomaly detection system requires deal with practical details starting with algorithm selection, data flow architecture, anomaly alerting, user interfaces and visualizations.
Ted Dunning has been involved with a number of startups with the latest being MapR Technologies where he is Chief Application Architect working on advanced Hadoop-related technologies. He is also a PMC member for the Apache Zookeeper and Mahout projects.
Let's get together and chat about machine-learning, natural language processing, large scale data analytics using open source tools such as Hadoop MapReduce, Shark, NoSQL databases, the semantic web and linked data.