The Anomaly Detection Solution is a feedback based ‘Domain Agnostic’ solution which runs a variety of Algorithms to check data anomalies and also learns with time, based on the Algorithm’s efficiency.
Features:
- Domain Agnostic: Domain independent real time solution that can run on any variety of data set (Categorical/Numerical)
- Multiple Algorithm: No ‘one-size-fits-all’ solution for outliers. Right blend of statistic based and Machine Learning Algorithms.
- Feedback Based: Captures the feedback on correctness from the users. Trains accordingly perform effectively on new data sets.
- 3V’s of Big Data: EmbodiesVelocity for running algorithms for large online streaming data, Volume for handling Big Data needs andVariety for supporting data from heterogeneous sources.
- Simple UI: User friendly