ELKI Data Mining Toolkit

Anomaly detection for streaming time series, featuring automated model selection.

NETS:Extremely Fast Outlier Detection from a Data Stream via Set-Based Processing

Ultrafast Local Outlier Detection from a Data Stream with Stationary Region Skipping

Package implements a number local outlier factor algorithms for outlier detection and finding anomalous data

Package provide java implementation of outlier detection using normal distribution for multi-variate datasets

Android app testing reaction times during awake brain surgeries

Package provides the direct java conversion of the origin libsvm C codes as well as a number of adapter to make it easier to program with libsvm on Java

The source code of POP to detect outliers in high-dimensional categorical data published in CIKM17.

Outlier detection method RHAC for categorical data published in CIKM18

Using Weka to conduct outlier detection experiments

This library is a port of the PROUD platform for distance based outlier detection in streaming environments using Hazelcast Jet (version 4.3).

The source code of outlier detection method WOD for categorical data published in DEXA18.

This project is a web interface for an outlier detection conducted on network traffic data with global and local detection methods.

NETS:Extremely Fast Outlier Detection from a Data Stream via Set-Based Processing

My undergrad research programming sandbox + Capstone project

This repository contains the implmentation of a cluster-based outlier detection algorithm called Orion in Java.