Outlier and Anomaly Detection Research

The following outlier and anomaly detection books and research summarize best practices and techniques for finding and coding data anomalies and outliers before conducting detailed data analysis.

Books:

• Network Traffic Anomaly Detection and Prevention: Concepts, Techniques, and Tools
• Outlier Detection for Temporal Data
• Outlier Detection: Techniques and Applications: A Data Mining Perspective
• Outlier Analysis. A Study of Different Techniques
• Outliers in Control Engineering: Fractional Calculus Perspective

Research:

• Anomaly Based Network Intrusion Detection with Unsupervised Outlier Detection 
• Solving Challenges in Deep Unsupervised Methods for Anomaly Detection
• Anomaly Detection from Time-Changing Environmental Sensor Data Streams
• Outlier Detection for Temporal Data
• Anomaly Detection in Streams with Extreme Value Theory
• Anomaly Detection Learning Resources
• ANOMALY DETECTION AND OUTLIER ANALYSIS
• A review on outlier/anomaly detection in time series data
• A Survey of Outlier DetectionMethods in Network AnomalyIdentification
• Statistics-Based Outlier Detection and Correction Method for Amazon Customer Reviews
• A Survey of Outlier Detection Techniques in IoT: Review and Classification
• Anomaly Detection in COVID-19 Time-Series Data
• Anomaly Detection for Large-Scale Municipal Data
• Out-of-distribution detection I: anomaly detection
• A Survey of Outlier Detection Methodologies
• Advances in Architectures, Big Data, and Machine Learning Techniques for Complex Internet of Things Systems
• Outlier-based clinical monitoring and alerting
• Anomaly Detection - Wikipedia
• REAL-TIME SENTIMENT-BASED ANOMALY DETECTION IN TWITTER DATA STREAMS
• Data Analytics for Cybersecurity
• Privacy Preserving Outlier Detection through Random Nonlinear Data Distortion
• What Is anomaly detection, and why is it important?
• Anomaly Detection Based on Convex Analysis: A Survey
• Arthur Zimek - Outlier Research
• PyOD: A Python Toolbox for Scalable Outlier Detection
• DATA MINING APPROACHES FOR OUTLIER DETECTION ANALYSIS
• Anomaly Detection Algorithm for Real-World Data and Evidence in Clinical Research: Implementation, Evaluation, and Validation Study  
• Outlier detection strategies for WSNs: A survey
• ONLINE DETECTION OF OUTLIERS FOR DATA STREAMS
• Welcome to PyOD documentation!
• A Review of Local Outlier Factor Algorithms for Outlier Detection in Big Data Streams
• Anomaly Detection in eXperience Management | Response Count Time Series
• What are outliers in the data?
• Internal EvAnomaly detection vs Outlier detection vs Extreme event detectionaluation of Unsupervised Outlier Detection
• The Squeaky Wheel: machine learning for anomaly detection in subjective thermal
• Graph based Anomaly Detection and Description: A Survey
• A Comparative Evaluation of Anomaly Detection Algorithms for Maritime Video Surveillance
• The utility of multivariate outlier detection techniques for data quality evaluation in large studies: an application within the ONDRI project
• Anomaly detection vs Outlier detection vs Extreme event detection
• Ensembles for Unsupervised Outlier Detection: Challenges and Research Questions
• Model-based Outlier Detection for Object-Relational Data
• Outliers in Data Science: To Be or Not to Be an Anomaly?
• REMIX: Automated exploration for interactive outlier detection
• Outlier and Anomaly Detection Methods with Applications to the 2021 Census
• Unsupervised outlier detection in official statistics
• On the Evaluation of Unsupervised Outlier Detection: Measures, Datasets, and an Empirical Study
• Anomaly detection in complex data: a practical application when outliers are few
• Hybrid Machine Learning–Statistical Method for Anomaly Detection in Flight Data
• Intelligent Deep Fusion Network for Anomaly Identification in Maritime Transportation Systems
• Unsupervised Outlier Detection in IOT Using Deep VAE
• Performance evaluation of outlier detection techniques in production timeseries: A systematic review and meta-analysis
• Anomaly Detection Framework for Wearables Data: A Perspective Review on Data Concepts, Data Analysis Algorithms and Prospects
• A comprehensive survey of anomaly detection techniques for high dimensional big data
• Anomaly Detection with Robust Deep Autoencoders
• Network traffic anomaly detection using clustering techniques and performance comparison
• Time series contextual anomaly detection for detecting market manipulation in stock market
• Anomaly-Aware Network Traffic Estimation via Outlier-Robust Tensor Completion
• Comparing Deep Learning with Statistical Control Methods for Anomaly Detection
• An Unsupervised Data-Driven Anomaly Detection Approach for Adverse Health Conditions in People Living With Dementia: Cohort Study
• A Transfer Learning Framework for Anomaly Detection Using Model of Normality
• Random-Forests-Based Network Intrusion Detection Systems
• Anomaly Detection in Resource Constrained Environments With Streaming Data
• Contextual Spatial Outlier Detection with Metric Learning
• A Fraud Detection Approach with Data Mining in Health Insurance
• Contextual anomaly detection framework for big sensor data
• Proceedings of the 2003 SIAM International Conference on Data Mining (SDM): A Comparative Study of Anomaly Detection Schemes in Network Intrusion Detection
• Distributed Spatial Anomaly Detection
• Unsupervised Anomaly Detection Using K-Means, Local Outlier Factor and One Class SVM
• PyNomaly: Anomaly detection using Local Outlier Probabilities (LoOP)
• Density-preserving projections for large-scale local anomaly detection
• A study on anomaly detection ensembles
• Anomaly Detection in the Bitcoin System - A Network Perspective
• Anomaly Detection Model Over Blockchain Electronic Transactions
• Anomaly Detection for a Water Treatment System Using Unsupervised Machine Learning
• Anomaly Detection in Big Data based on Clustering
• Unsupervised Clustering Approach for Network Anomaly Detection
• Anomaly detection in Network Traffic Using Unsupervised Machine learning Approach
• FastLOF: An Expectation-Maximization based Local Outlier detection algorithm
• Comparing compositional multivariate outliers with autoencoder networks in anomaly detection at Hamich exploration area, east of Iran
• Anomaly detection on time series
• Network anomaly detection in time series using distance based outlier detection with cluster density analysis
• Outlier detection using isolation forest and local outlier factor
• Toward Supervised Anomaly Detection
• Anomaly Detection in Bitcoin Network Using Unsupervised Learning Methods
• Nearest-Neighbor and Clustering based Anomaly Detection Algorithms for RapidMiner
• A Study on Machine Learning Based Anomaly Detection Approaches in Wireless Sensor Network
• Outlier Detection Algorithms in Data Mining Systems
• Incorporating Expert Feedback into Active Anomaly Discovery
• A Survey of Outlier Detection Methodologies and Their Applications
• Robust feature selection and robust PCA for internet traffic anomaly detection
• Algorithm optimization and anomaly detection simulation based on extended Jarvis-Patrick clustering and outlier detection
• Workload-Aware Online Anomaly Detection in Enterprise Applications with Local Outlier Factor
• Hyperspectral anomaly detection using outlier removal from collaborative representation
• Anomaly Detection on Shuttle data using Unsupervised Learning Techniques
• CAMLPAD: Cybersecurity Autonomous Machine Learning Platform for Anomaly Detection
• Multi-Scale Anomaly Detection on Attributed Networks
• Anomaly Detection Using Ensembles
• An Introduction to Outlier Analysis
• Anomaly detection in a mobile communication network
• Log-Based Anomaly Detection of CPS Using a Statistical Method
• Outlier Generation and Anomaly Detection Based on Intelligent One-Class Techniques over a Bicomponent Mixing System
• Standalone noise and anomaly detection in wireless sensor networks: A novel time-series and adaptive Bayesian-network-based approach
• Robust Anomaly Detection and Backdoor Attack Detection Via Differential Privacy
• An overview of anomaly detection techniques: Existing solutions and latest technological trends
• A simple and valid analysis method for orbit anomaly detection
• Anomaly Detection of Hyperspectral Imagery Using Modified Collaborative Representation
• Anomaly detection based on eccentricity analysis
• Anomaly Detection Approaches for Semiconductor Manufacturing
• Anomaly Detection Using Groups of Simulations
• The Squeaky wheel: Machine learning for anomaly detection in subjective thermal comfort votes
• Anomaly detection in the Zwicky Transient Facility DR3
• Hyperspectral Anomaly Detection Based on Low-Rank Representation Using Local Outlier Factor