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Cluster-Based Improved Isolation Forest

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/ett.3647openalex-snapshot

Clustering‐based real‐time anomaly detection—A breakthrough in big data technologies

inferredcites →https://doi.org/10.1002/stc.2296openalex-snapshot

Convolutional neural network-based data anomaly detection method using multiple information for structural health monitoring

inferredcites →https://doi.org/10.1007/0-387-25465-x_7openalex-snapshot

Outlier Detection

inferredcites →https://doi.org/10.1007/3-540-47887-6_53openalex-snapshot

Enhancing Effectiveness of Outlier Detections for Low Density Patterns

inferredcites →https://doi.org/10.1007/978-3-030-75762-5_8openalex-snapshot

Unsupervised Boosting-Based Autoencoder Ensembles for Outlier Detection

inferredcites →https://doi.org/10.1007/978-3-642-01307-2_84openalex-snapshot

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

inferredcites →https://doi.org/10.1007/978-94-015-3994-4openalex-snapshot

Identification of Outliers

inferredcites →https://doi.org/10.1007/978-981-13-0586-3_62openalex-snapshot

A Distance-Based Outlier Detection Using Particle Swarm Optimization Technique

inferredcites →https://doi.org/10.1007/s12530-020-09347-0openalex-snapshot

A graph neural network method for distributed anomaly detection in IoT

inferredcites →https://doi.org/10.1016/j.asoc.2018.12.029openalex-snapshot

Outlier detection based on Gaussian process with application to industrial processes

inferredcites →https://doi.org/10.1016/j.asoc.2020.106919openalex-snapshot

Clustering-based anomaly detection in multivariate time series data

inferredcites →https://doi.org/10.1016/j.ijmedinf.2019.103988openalex-snapshot

Applying density-based outlier identifications using multiple datasets for validation of stroke clinical outcomes

inferredcites →https://doi.org/10.1016/j.knosys.2020.105659openalex-snapshot

K-Means-based isolation forest

inferredcites →https://doi.org/10.1016/j.knosys.2020.106733openalex-snapshot

A new density-based subspace selection method using mutual information for high dimensional outlier detection

inferredcites →https://doi.org/10.1016/s0167-7152(96)00213-1openalex-snapshot

Connectivity of the mutual k-nearest-neighbor graph in clustering and outlier detection

inferredcites →https://doi.org/10.1073/pnas.1801757116openalex-snapshot

Network-based microsynteny analysis identifies major differences and genomic outliers in mammalian and angiosperm genomes

inferredcites →https://doi.org/10.1080/02664763.2018.1452901openalex-snapshot

Distance-based outlier detection for high dimension, low sample size data

inferredcites →https://doi.org/10.1109/3477.764879openalex-snapshot

Genetic K-means algorithm

inferredcites →https://doi.org/10.1109/access.2018.2886197openalex-snapshot

An Efficient Density-Based Local Outlier Detection Approach for Scattered Data

inferredcites →https://doi.org/10.1109/access.2019.2906503openalex-snapshot

Density-Based Outlier Detection for Safeguarding Electronic Patient Record Systems

inferredcites →https://doi.org/10.1109/access.2019.2932769openalex-snapshot

Progress in Outlier Detection Techniques: A Survey

inferredcites →https://doi.org/10.1109/bigdata.2018.8622120openalex-snapshot

A Unified Unsupervised Gaussian Mixture Variational Autoencoder for High Dimensional Outlier Detection

inferredcites →https://doi.org/10.1109/comitcon.2019.8862186openalex-snapshot

Anomaly Detection using Graph Neural Networks

inferredcites →https://doi.org/10.1109/fskd.2008.374openalex-snapshot

Efficient Clustering-Based Outlier Detection Algorithm for Dynamic Data Stream

inferredcites →https://doi.org/10.1109/icdm.2008.17openalex-snapshot

Isolation Forest

inferredcites →https://doi.org/10.1109/lsp.2018.2851156openalex-snapshot

Robust Gaussian Kalman Filter With Outlier Detection

inferredcites →https://doi.org/10.1109/mdm.2018.00029openalex-snapshot

Outlier Detection for Multidimensional Time Series Using Deep Neural Networks

inferredcites →https://doi.org/10.1109/tkde.2019.2905606openalex-snapshot

Generative Adversarial Active Learning for Unsupervised Outlier Detection

inferredcites →https://doi.org/10.1109/tkde.2019.2947676openalex-snapshot

Extended Isolation Forest

inferredcites →https://doi.org/10.1109/tkde.2021.3118815openalex-snapshot

A Comprehensive Survey on Graph Anomaly Detection With Deep Learning

inferredcites →https://doi.org/10.1109/tsm.2019.2916835openalex-snapshot

A Novel DBSCAN-Based Defect Pattern Detection and Classification Framework for Wafer Bin Map

inferredcites →https://doi.org/10.1137/1.9781611974973.11openalex-snapshot

Outlier Detection with Autoencoder Ensembles

inferredcites →https://doi.org/10.1145/1401890.1401946openalex-snapshot

Angle-based outlier detection in high-dimensional data

inferredcites →https://doi.org/10.1145/3219819.3220042openalex-snapshot

Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier Detection

inferredcites →https://doi.org/10.1145/342009.335388openalex-snapshot

LOF

inferredcites →https://doi.org/10.1145/3440084.3441180openalex-snapshot

VAE-GAN Based Zero-shot Outlier Detection

inferredcites →https://doi.org/10.1609/aaai.v35i5.16523openalex-snapshot

Graph Neural Network-Based Anomaly Detection in Multivariate Time Series

inferredcites →https://doi.org/10.24963/ijcai.2019/378openalex-snapshot

Outlier Detection for Time Series with Recurrent Autoencoder Ensembles

inferredcites →https://doi.org/10.2514/6.2020-1851openalex-snapshot

An Application of DBSCAN Clustering for Flight Anomaly Detection During the Approach Phase

inferredcites →https://doi.org/10.26599/tst.2019.9010051openalex-snapshot

A hybrid unsupervised clustering-based anomaly detection method

inferredcites →https://doi.org/10.3390/app8081325openalex-snapshot

Hybrid Prediction Model for Type 2 Diabetes and Hypertension Using DBSCAN-Based Outlier Detection, Synthetic Minority Over Sampling Technique (SMOTE), and Random Forest

inferredcites →https://doi.org/10.34740/kaggle/dsv/3970301openalex-snapshot

Vertebral Column Data Set

inferredcites →https://doi.org/10.4018/ijcac.2021010103openalex-snapshot

Gaussian Distribution-Based Machine Learning Scheme for Anomaly Detection in Healthcare Sensor Cloud

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4707744openalex-extracted

Comprehensive Anomaly Score Rank Based Unsupervised Sample Selection Method

inferred← citeshttps://doi.org/10.1002/cem.70028openalex-snapshot

Comprehensive Anomaly Score Rank Based Unsupervised Sample Selection Method

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A Computationally Inexpensive Method for Anomaly Detection in Maritime Trajectories from AIS Dataset

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Anomaly Detection in Healthcare: Deploying Hybrid Machine Learning Techniques

inferred← citeshttps://doi.org/10.1007/s10207-026-01335-wopenalex-snapshot

Beaconing detection via timing-based flow metadata analysis: implications for SCADA/ICS

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Anomaly Detection in Weather Phenomena: News and Numerical Data-Driven Insights into the Climate Change in Romania’s Historical Regions

inferred← citeshttps://doi.org/10.1016/j.asoc.2025.113898openalex-snapshot

Fusing local density and approximate distance for nonparametric outlier detection

inferred← citeshttps://doi.org/10.1016/j.eswa.2023.121770openalex-snapshot

Adaboost-based SVDD for anomaly detection with dictionary learning

inferred← citeshttps://doi.org/10.1016/j.geoen.2025.214310openalex-snapshot

Study on the detection method of physical anomaly parameters of tight reservoirs based on the isolated forest algorithm of attention mechanism

inferred← citeshttps://doi.org/10.1016/j.ins.2023.01.104openalex-snapshot

Effective enhancement of isolation Forest method based on Minimal Spanning tree clustering

inferred← citeshttps://doi.org/10.1016/j.patcog.2024.110395openalex-snapshot

Deterministic attribute selection for isolation forest

inferred← citeshttps://doi.org/10.1016/j.patcog.2026.113507openalex-snapshot

MSTIF-IFS: Isolation forest based on minimal spanning tree and intuitionistic fuzzy sets

inferred← citeshttps://doi.org/10.1016/j.patrec.2025.07.014openalex-snapshot

Optimized Deep Isolation Forest

inferred← citeshttps://doi.org/10.1109/aidas71914.2026.11712810openalex-snapshot

Hybrid Machine Learning Algorithms for Network Anomaly Detection: A Soft Voting Ensemble Approach

inferred← citeshttps://doi.org/10.1109/cac59555.2023.10451472openalex-snapshot

Sample Selection Algorithm Based on Graph Centrality Weighted Anomaly Score

inferred← citeshttps://doi.org/10.1109/icmla66185.2025.00066openalex-snapshot

Unsupervised Feature Extraction using Convolutional Autoencoder for Credit Card Fraud Detection

inferred← citeshttps://doi.org/10.1109/icsess67729.2025.11380532openalex-snapshot

Adaptive Isolation Forest-based Anomaly Data Detection for Wind Turbine

inferred← citeshttps://doi.org/10.1109/iri66576.2025.00049openalex-snapshot

The Impact of Class Imbalance on Unsupervised Deep Anomaly Detection for Cognitive Data

inferred← citeshttps://doi.org/10.1109/iri66576.2025.00062openalex-snapshot

Unsupervised Cognitive Impairment Detection Using Convolutional Autoencoders and Isolation Forest

inferred← citeshttps://doi.org/10.1109/isct66099.2025.11297389openalex-snapshot

Unsupervised Learning Methods Applied to Honeypot Data for Detecting Cyberattacks

inferred← citeshttps://doi.org/10.1109/tbdata.2026.3679567openalex-snapshot

Enhanced Approaches for Anomaly Detection in Streaming Data: Coupling Gaussian Distributions With Space Trees and Adaptive AutoEncoders

inferred← citeshttps://doi.org/10.1145/3718751.3718820openalex-snapshot

A Machine Learning Approach to Detecting Financial Anomalies in Large Global Companies

inferred← citeshttps://doi.org/10.1145/3806980.3807082openalex-snapshot

Spatiotemporal Tax Analysis and Explainable AI for Fiscal Policy Design: An Integrated Framework of Spatial Econometrics, SHAP Interpretation, and Progressive Taxation Strategy

inferred← citeshttps://doi.org/10.1177/15741699261456599openalex-snapshot

Outlier Detection Methods for One-Dimensional Features Based on the Isolation Forest and 2-Means Algorithms

inferred← citeshttps://doi.org/10.1177/16878132241277638openalex-snapshot

A novel spike detection model for dynamic stress monitoring of bogie frame

inferred← citeshttps://doi.org/10.1186/s40537-025-01120-xopenalex-snapshot

Unsupervised label generation for severely imbalanced fraud data

inferred← citeshttps://doi.org/10.1186/s40537-025-01248-wopenalex-snapshot

Scalable unsupervised labeling with SHAP feature selection for fraud detection in imbalanced data

inferred← citeshttps://doi.org/10.15181/rfds.v40i2.2528openalex-snapshot

Innovative Analytical and Statistical Technology in Election Forensics

inferred← citeshttps://doi.org/10.2523/iptc-23580-eaopenalex-snapshot

Big Data Analysis Using Unsupervised Machine Learning: K-means Clustering and Isolation Forest Models for Efficient Anomaly Detection and Removal in Complex Lithologies

inferred← citeshttps://doi.org/10.3390/e24111606openalex-snapshot

Grid-Based Clustering Using Boundary Detection

inferred← citeshttps://doi.org/10.3390/e25040597openalex-snapshot

Gate-Level Circuit Partitioning Algorithm Based on Clustering and an Improved Genetic Algorithm

inferred← citeshttps://doi.org/10.3390/math12091336openalex-snapshot

Ensemble Approach Using k-Partitioned Isolation Forests for the Detection of Stock Market Manipulation

inferred← citeshttps://doi.org/10.3390/s23062908openalex-snapshot

Power Disturbance Monitoring through Techniques for Novelty Detection on Wind Power and Photovoltaic Generation

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