# VEDAR: Accountable Behavioural Change Detection

## TL;DR

VEDAR is a novel real-time behavior change detection algorithm that outperforms existing methods like Numenta HTM and Twitter AdVec, providing timely insights into system anomalies for improved decision-making.

## Contribution

Introduces VEDAR, a new algorithm for accountable, real-time behavior change detection that mimics human perception and outperforms industry-standard methods.

## Key findings

- VEDAR outperforms Numenta HTM and Twitter AdVec in benchmarks.
- The algorithm effectively detects and elucidates behavior changes in streaming data.
- Benchmark results demonstrate superior efficacy in anomaly detection.

## Abstract

With exponential increase in the availability oftelemetry / streaming / real-time data, understanding contextualbehavior changes is a vital functionality in order to deliverunrivalled customer experience and build high performance andhigh availability systems. Real-time behavior change detectionfinds a use case in number of domains such as social networks,network traffic monitoring, ad exchange metrics etc. In streamingdata, behavior change is an implausible observation that does notfit in with the distribution of rest of the data. A timely and preciserevelation of such behavior changes can give us substantialinformation about the system in critical situations which can bea driving factor for vital decisions. Detecting behavior changes instreaming fashion is a difficult task as the system needs to processhigh speed real-time data and continuously learn from data alongwith detecting anomalies in a single pass of data. In this paperwe introduce a novel algorithm called Accountable BehaviorChange Detection (VEDAR) which can detect and elucidate thebehavior changes in real-time and operates in a fashion similarto human perception. We have bench marked our algorithmon open source anomaly detection datasets. We have benchmarked our algorithm by comparing its performance on opensource anomaly datasets against industry standard algorithmslike Numenta HTM and Twitter AdVec (SH-ESD). Our algorithmoutperforms above mentioned algorithms for behaviour changedetection, efficacy is given in section V.