In data mining, anomaly detection (also outlier detection) is the identification of rare items, events or observations which raise suspicions by differing significantly from the majority of the data. — Wikipedia.

This post contents:

  1. Books
  2. Research Papers

Books

Outlier Analysis by Charu C. Aggarwal.

Outlier Ensembles by Charu C. Aggarwal, Saket Sathe.


Research Papers

Survey Papers

Anomaly detection: A survey

Novelty detection: a review — part 1: statistical approaches

Novelty detection: a review — part 2:: neural network based approaches

A Survey of Outlier Detection Methodologies

State-of-the-art Methods

LOF: Identifying Density-Based Local Outliers

Isolation Forest

Density Based Outlier Detection Methods

LOF: Identifying Density-Based Local Outliers

LOCI: fast outlier detection using the local correlation integral

Revisiting Attribute Independence Assumption in Probabilistic Unsupervised Anomaly Detection

OPTICS-OF: Identifying Local Outliers

A local density-based approach for outlier detection

An efficient algorithm for distributed density-based outlier detection on big data

LoOP: Local Outlier Probabilities

Distance Based Outlier Detection Methods

A New Local Distance-Based Outlier Detection Approach for Scattered Real-World Data

Distance-based Outlier Detection in Data Streams

Rapid Distance-Based Outlier Detection via Sampling

Angle-based outlier detection in high-dimensional data

Scalable distance-based outlier detection over high-volume data streams

Fast mining of distance-based outliers in high-dimensional datasets

Distance-Based Outlier Detection on Uncertain Data

Distance-based outlier detection: consolidation and renewed bearing

Clustering Based Outlier Detection Methods

Cluster-based outlier detection

Clustering-Based Outlier Detection Method

Efficient Clustering-Based Outlier Detection Algorithm for Dynamic Data Stream

An Outlier Detection Method Based on Clustering

Cluster Based Outlier Detection Algorithm for Healthcare Data

A Minimum Spanning Tree-Inspired Clustering-Based Outlier Detection Technique

Framework of Clustering-Based Outlier Detection

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Curated list of Outlier Detection Resources
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