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Keyword

Isolation Forest

Description: Isolation Forest is a machine-learning algorithm that identifies anomalies by isolating observations through randomly partitioned data, commonly used for fault and fraud detection.
Wikidata ID: wiki/Q85770174
OpenAlex ID: keywords/isolation-forest
Isolation Forest
2008 · Fei Tony Liu, Kai Ming Ting, et al. · Proceedings · 6,235
Isolation-Based Anomaly Detection
2012 · Fei Tony Liu, Kai Ming Ting, et al. · ACM Transactions on Knowledge Discovery from Data · 2,081
Prediction of Heart Disease Using a Combination of Machine Learning and Deep Learning
2021 · Rohit Bharti, Aditya Khamparia, et al. · Computational Intelligence and Neuroscience · 606
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Deep Isolation Forest for Anomaly Detection
2023 · Hongzuo Xu, Guansong Pang, et al. · IEEE Transactions on Knowledge and Data Engineering · 564
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Extended Isolation Forest
2019 · Sahand Hariri, Matias Carrasco Kind, et al. · IEEE Transactions on Knowledge and Data Engineering · 511
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An explainable artificial intelligence approach for unsupervised fault detection and diagnosis in rotating machinery
2022 · Brito L. C., Susto G. A., et al. · Padua Research Archive (University of Padova) · 343
An Anomaly Detection Approach Based on Isolation Forest Algorithm for Streaming Data using Sliding Window
2013 · Zhiguo Ding, Minrui Fei · IFAC Proceedings Volumes · 322
iBAT
2011 · Daqing Zhang, Nan Li, et al. · ACM International Conference on Ubiquitous Computing (UbiComp) · 307
Unsupervised Machine Learning-Based Detection of Covert Data Integrity Assault in Smart Grid Networks Utilizing Isolation Forest
2019 · Saeed Ahmed, Youngdoo Lee, et al. · IEEE Transactions on Information Forensics and Security · 290
Short-term offshore wind power forecasting - A hybrid model based on Discrete Wavelet Transform (DWT), Seasonal Autoregressive Integrated Moving Average (SARIMA), and deep-learning-based Long Short-Term Memory (LSTM)
2021 · Wanqing Zhang, Zi Lin, et al. · Renewable Energy · 275
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Outlier detection using isolation forest and local outlier factor
2019 · Zhangyu Cheng, Chengming Zou, et al. · ACM Conference on Research in Adaptive and Convergent Systems (RACS) · 272
Data-Driven Cervical Cancer Prediction Model with Outlier Detection and Over-Sampling Methods
2020 · Muhammad Fazal Ijaz, Muhammad Attique, et al. · Sensors · 265
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Artificial Intelligence and Internet of Things Enabled Disease Diagnosis Model for Smart Healthcare Systems
2021 · Romany Fouad Mansour, Adnen El Amraoui, et al. · IEEE Access · 254
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Intrusion Detection Based on Autoencoder and Isolation Forest in Fog Computing
2020 · Kishwar Sadaf, Jabeen Sultana · IEEE Access · 225
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Hyperspectral Anomaly Detection With Kernel Isolation Forest
2019 · Shutao Li, Kunzhong Zhang, et al. · IEEE Transactions on Geoscience and Remote Sensing · 206
Generalized isolation forest for anomaly detection
2021 · Julien Lesouple, Cédric Baudoin, et al. · Pattern Recognition Letters · 199
Development of Disease Prediction Model Based on Ensemble Learning Approach for Diabetes and Hypertension
2019 · Norma Latif Fitriyani, Muhammad Syafrudin, et al. · IEEE Access · 189
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Ensemble Methods
2025 · Zhi-Hua Zhou · Chapman & Hall/CRC eBooks · 178
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Isolation‐based anomaly detection using nearest‐neighbor ensembles
2018 · Tharindu R. Bandaragoda, Kai Ming Ting, et al. · Computational Intelligence · 177
Wind power prediction based on high-frequency SCADA data along with isolation forest and deep learning neural networks
2020 · Zi Lin, Xiaolei Liu, et al. · International Journal of Electrical Power & Energy Systems · 171
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K-Means-based isolation forest
2020 · Paweł Karczmarek, Adam Kiersztyn, et al. · Knowledge-Based Systems · 170
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A Survey of Recent Indoor Localization Scenarios and Methodologies
2021 · Tian Yang, Adnane Cabani, et al. · Sensors · 167
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Credit Card Fraud Detection using Machine Learning and Data Science
2019 · S P Maniraj, Aditya Saini, et al. · International Journal of Engineering Research and · 167
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Fast Anomaly Identification Based on Multiaspect Data Streams for Intelligent Intrusion Detection Toward Secure Industry 4.0
2021 · Lianyong Qi, Yihong Yang, et al. · IEEE Transactions on Industrial Informatics · 155
Ensemble learning model for diagnosing COVID-19 from routine blood tests
2020 · Maryam AlJame, Imtiaz Ahmad, et al. · Informatics in Medicine Unlocked · 144
Works count: 6,198
Citation count: 43,260
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