AIDA: Analytic isolation and distance-based anomaly detection algorithm-Reference-Cited by-同舟云学术

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AIDA: Analytic isolation and distance-based anomaly detection algorithm

Published:2023-09 Issue: Volume:141 Page:109607
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Souto Arias Luis Antonio^ORCID,Oosterlee Cornelis W.,Cirillo Pasquale

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference36 articles.

1. Opinion fraud detection via neural autoencoder decision forest;Dong;Pattern Recognit. Lett.,2020

2. Random forest for credit card fraud detection;Xuan,2018

3. Efficient algorithms for mining outliers from large data sets;Ramaswamy;SIGMOD Rec.,2000

4. LOF: identifying density-based local outliers;Breunig;SIGMOD Rec.,2000

5. Isolation-based anomaly detection;Liu;ACM Trans. Knowl. Discov. Data,2012

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1. Graph fairing convolutional networks for anomaly detection;Pattern Recognition;2024-01

2. Missing data filling in soft sensing using denoising diffusion probability model;Measurement Science and Technology;2023-11-14

3. Anomaly Detection Based on Deep Learning: Insights and Opportunities;2023 IEEE 10th International Conference on Cyber Security and Cloud Computing (CSCloud)/2023 IEEE 9th International Conference on Edge Computing and Scalable Cloud (EdgeCom);2023-07

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