📄A survey of data mining and social network analysis based anomaly detection techniques
📘Journal: EGYPTIAN INFORMATICS JOURNAL (I.F= 4.195)
🗓Publish year: 2016
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #data_mining #anomaly_detection #survey
📘Journal: EGYPTIAN INFORMATICS JOURNAL (I.F= 4.195)
🗓Publish year: 2016
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #data_mining #anomaly_detection #survey
📄Graph Anomaly Detection with Graph Neural Networks: Current Status and Challenges
📘Journal: IEEE Access (I.F=3.476)
🗓Publish year: 2022
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Anomaly_Detection #Challenges
📘Journal: IEEE Access (I.F=3.476)
🗓Publish year: 2022
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Anomaly_Detection #Challenges
📄Web Graph Similarity for Anomaly Detection
🗓Publish year: 2009
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #Anomaly_Detection #Graph
🗓Publish year: 2009
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #Anomaly_Detection #Graph
📄Graph-based Time-Series Anomaly Detection: A Survey
🗓Publish year: 2023
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Time_Series #Anomaly #survey
🗓Publish year: 2023
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Time_Series #Anomaly #survey
📄Graph Anomaly Detection with Graph Neural Networks: Current Status and Challenges
📘Journal: IEEE ACCESS (I.F=3.476)
🗓Publish year: 2022
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Anomaly #Graph_Neural_Networks #Status #Challenges
📘Journal: IEEE ACCESS (I.F=3.476)
🗓Publish year: 2022
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Anomaly #Graph_Neural_Networks #Status #Challenges
2020_Fraud_detection_A_systematic_literature_review_of_graph_based.pdf
1.4 MB
📄Fraud detection: A systematic literature review of graph-based anomaly detection approaches
📘Journal: Decision Support Systems (I.F=6.969)
🗓Publish year: 2020
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Fraud #Detection #Review #graph_based #anomaly
📘Journal: Decision Support Systems (I.F=6.969)
🗓Publish year: 2020
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Fraud #Detection #Review #graph_based #anomaly
📄A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection
🗓Publish year: 2021
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #GNN #Survey #Neural_Network #Forecasting #Anomaly_Detection
🗓Publish year: 2021
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #GNN #Survey #Neural_Network #Forecasting #Anomaly_Detection
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📄 A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection
🗓Publish year: 2023
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #survey #GNN #anomaly_detection #time_series
🗓Publish year: 2023
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #survey #GNN #anomaly_detection #time_series
👍5
📄Machine Learning for Anomaly Detection: A Systematic Review
📘 journal: IEEE Acess (I.F=3.476)
🗓Publish year: 2021
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #graph #Anomaly_detection #review
📘 journal: IEEE Acess (I.F=3.476)
🗓Publish year: 2021
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #graph #Anomaly_detection #review
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🎞 Anomaly Detection: Algorithms, Explanations, Applications
💥Free recorded tutorial by Dr. Dietterich’s.He is part of the leadership team for OSU’s Ecosystem Informatics programs including the NSF Summer Institute in Ecoinformatics
💥Anomaly detection is important for data cleaning, cybersecurity, and robust AI systems. This talk will review recent work in our group on (a) benchmarking existing algorithms, (b) developing a theoretical understanding of their behavior, (c) explaining anomaly “alarms” to a data analyst, and (d) interactively re-ranking candidate anomalies in response to analyst feedback. Then the talk will describe two applications: (a) detecting and diagnosing sensor failures in weather networks and (b) open category detection in supervised learning.
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video #Anomaly_Detection #Algorithms #Explanations #Applications
💥Free recorded tutorial by Dr. Dietterich’s.He is part of the leadership team for OSU’s Ecosystem Informatics programs including the NSF Summer Institute in Ecoinformatics
💥Anomaly detection is important for data cleaning, cybersecurity, and robust AI systems. This talk will review recent work in our group on (a) benchmarking existing algorithms, (b) developing a theoretical understanding of their behavior, (c) explaining anomaly “alarms” to a data analyst, and (d) interactively re-ranking candidate anomalies in response to analyst feedback. Then the talk will describe two applications: (a) detecting and diagnosing sensor failures in weather networks and (b) open category detection in supervised learning.
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video #Anomaly_Detection #Algorithms #Explanations #Applications
YouTube
Anomaly Detection: Algorithms, Explanations, Applications
Anomaly detection is important for data cleaning, cybersecurity, and robust AI systems. This talk will review recent work in our group on (a) benchmarking existing algorithms, (b) developing a theoretical understanding of their behavior, (c) explaining anomaly…
👍2
📄A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection
🗓Publish year: 2023
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #GNN #Time_Series #Forecasting #Classification #Imputation #Anomaly_Detection #survey
🗓Publish year: 2023
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #GNN #Time_Series #Forecasting #Classification #Imputation #Anomaly_Detection #survey
👍4
📄 A systematic literature review of methods and datasets for anomaly-based network intrusion detection
📘 Journal: Computers & Security (I.F=5.6)
🗓 Publish year: 2022
🧑💻Authors: Zhen Yang , Xiaodong Liu, Tong Li, Di Wu, Jinjiang Wang, Yunwei Zhao, Han Han
🏢University: Beijing University of Technology, Beijing, China
📎 Study the paper
📱Channel: @ComplexNetworkAnalysis
#paper #anomaly #intrusion #review
📘 Journal: Computers & Security (I.F=5.6)
🗓 Publish year: 2022
🧑💻Authors: Zhen Yang , Xiaodong Liu, Tong Li, Di Wu, Jinjiang Wang, Yunwei Zhao, Han Han
🏢University: Beijing University of Technology, Beijing, China
📎 Study the paper
📱Channel: @ComplexNetworkAnalysis
#paper #anomaly #intrusion #review
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