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Anomaly detection: A survey

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Isolation Forest

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LOF: identifying density-based local outliers

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Mining association rules between sets of items in large databases

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A Survey of Outlier Detection Methodologies

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Identification of Outliers

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Cost-effective outbreak detection in networks

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Programming Massively Parallel Processors: A Hands-on Approach

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Structural Health Monitoring: A Machine Learning Perspective

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Graph based anomaly detection and description: a survey

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Discovering Frequent Closed Itemsets for Association Rules

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Online Learning and Online Convex Optimization

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A survey on unsupervised outlier detection in high‐dimensional numerical data

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Big data analytics: A survey

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Anomaly Detection for IoT Time-Series Data: A Survey

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Fraud detection system: A survey

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A Survey of Methods for Explaining Black Box Models

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Outlier Analysis

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Execution Anomaly Detection in Distributed Systems through Unstructured Log Analysis

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A survey of anomaly detection techniques in financial domain

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

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Deep Learning for Medical Anomaly Detection – A Survey

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Discovering spatio-temporal causal interactions in traffic data streams

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Outlier Detection: Methods, Models, and Classification

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Outlier Detection in Axis-Parallel Subspaces of High Dimensional Data

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Interpreting and Unifying Outlier Scores

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Anomaly detection in streaming environmental sensor data: A data-driven modeling approach

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An Introduction to Outlier Analysis

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Toward data anomaly detection for automated structural health monitoring: Exploiting generative adversarial nets and autoencoders

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A Survey of Distance and Similarity Measures Used Within Network Intrusion Anomaly Detection

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Evaluating Computer Intrusion Detection Systems

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Anomaly Detection with Graph Convolutional Networks for Insider Threat and Fraud Detection

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On Evaluation of Outlier Rankings and Outlier Scores

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Understanding throughput-oriented architectures

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Advancements of Outlier Detection: A Survey

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A framework for automated anomaly detection in high frequency water-quality data from in situ sensors

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Toward Explainable Deep Neural Network Based Anomaly Detection

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A Survey of Heart Anomaly Detection Using Ambulatory Electrocardiogram (ECG)

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SAND

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Recognition of geochemical anomalies using a deep variational autoencoder network

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Coronavirus misinformation, and how scientists can help to fight it

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A Survey on Social Media Anomaly Detection

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Explaining Outliers by Subspace Separability

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Characteristics and classification of outlier detection techniques for wireless sensor networks in harsh environments: a survey

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Identifying and treating outliers in finance

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Research issues in outlier detection for data streams

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Simulation-based Anomaly Detection and Damage Localization: An application to Structural Health Monitoring

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Discriminative features for identifying and interpreting outliers

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Black Box Explanation by Learning Image Exemplars in the Latent Feature Space

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Online Submodular Maximization with Preemption

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Unsupervised Fake News Detection Based on Autoencoder

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Contextual Outlier Interpretation

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Real-time distance-based outlier detection in data streams

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Feedback-Guided Anomaly Discovery via Online Optimization

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Robust methods of inclusive outlier analysis for structural health monitoring

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Guided Random Forest in the RRF PackagePreprint

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URCA: Pulling out Anomalies by their Root Causes

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Active learning for anomaly detection in environmental data

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A Survey of Outlier Detection Methodologies and Their Applications

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Local Outlier Detection with Interpretation

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Beyond Outlier Detection: LookOut for Pictorial Explanation

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Sequential Feature Explanations for Anomaly Detection

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Explaining anomalies in groups with characterizing subspace rules

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Shapley Values of Reconstruction Errors of PCA for Explaining Anomaly Detection

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Adaptive Performance Anomaly Detection in Distributed Systems Using Online SVMs

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Monitoring for security intrusion using performance signatures

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Anomaly detection in the presence of missing values for weather data quality control

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EXAD: A System for Explainable Anomaly Detection on Big Data Traces

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Flexible and adaptive subspace search for outlier analysis

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Ranking anomalies in data centers

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Algorithmic Aspects of Parallel Data Processing

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Solving the False Positives Problem in Fraud Prediction Using Automated Feature Engineering

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EXstream: Explaining Anomalies in Event Stream Monitoring

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Anomaly Detection of Spectrum in Wireless Communication via Deep Autoencoder

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Real-Time Evasion Attacks against Deep Learning-Based Anomaly Detection from Distributed System Logs

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Conditional anomaly detection methods for patient-management alert systems

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Anomaly Detection in Network Traffic Security Assurance

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Discovering Traffic Outlier Causal Relationship Based on Anomalous DAG

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Outlier detection in personalized medicine

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Robust Outlier Mitigation in Multi-Constellation GNSS-based Positioning for Waterborne Applications

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Distributed Computing Technologies in Big Data Analytics

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Finding key knowledge attribute subspace of outliers in high-dimensional dataset

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Anomaly Weather Information Detection Using Wireless Pressure-sensor Grid

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On the Role of Distributed Computing in Big Data Analytics

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A Survey on Explainable Anomaly Detection

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Towards attack detection in multimodal cyber-physical systems with sticky HDP-HMM based time series analysis

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Metodologi Tafsir Mukhtasar

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Affection in Interpretation According to Abi Hayyan Al-Andalusi (d. 745 A.H) Through his Interpretation of Al-Bahr Al-Moheet Surat Al-Baqarah as a Model

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There’s No Such Thing as Interpreting a Text

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Al-Dakhîl fî al-Tafsîr; Studi Kritis dalam Metodologi Tafsir

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Identification of outliers in pollution concentration levels using anomaly detection

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