2018_A_Systematic_Review_on_Social_Network_Analysis_Tools,_Algorithms.pdf
383.2 KB
πA Systematic Review on Social Network Analysis: Tools, Algorithms and Frameworks
πConference: International Conference on Computing and Big Data
πPublish year: 2018
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #review #Algorithms
πConference: International Conference on Computing and Big Data
πPublish year: 2018
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #review #Algorithms
2023_A_survey_on_identification_of_influential_users_in_social_media.pdf
460.6 KB
π A survey on identification of influential users in social media networks using bio inspired algorithms
πjournal: Procedia Computer Science
πPublish year: 2023
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #identification #influential #users #bio #inspired #algorithms
πjournal: Procedia Computer Science
πPublish year: 2023
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #identification #influential #users #bio #inspired #algorithms
π3
2020_A_survey_on_network_node_ranking_algorithms_Representative.pdf
793.4 KB
πA survey on network node ranking algorithms: Representative methods, extensions, and applications
πjournal: Science China Technological Sciences(I.F= 4.6)
πPublish year: 2020
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #network #node #ranking #algorithms #Representative #methods #extensions #applications #survey
πjournal: Science China Technological Sciences(I.F= 4.6)
πPublish year: 2020
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #network #node #ranking #algorithms #Representative #methods #extensions #applications #survey
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πGraph Theory and Algorithms for Network Analysis
πConference: International Conference on Newer Engineering Concepts and Technology (ICONNECT-2023)
πPublish year: 2023
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Graph_Theory #Algorithms
πConference: International Conference on Newer Engineering Concepts and Technology (ICONNECT-2023)
πPublish year: 2023
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Graph_Theory #Algorithms
πGraph Data Structure And Algorithms
π₯Technical paper
π Study
π²Channel: @ComplexNetworkAnalysis
#paper #Graph #Data_Structure #Algorithms
π₯Technical paper
π Study
π²Channel: @ComplexNetworkAnalysis
#paper #Graph #Data_Structure #Algorithms
GeeksforGeeks
Graph Algorithms - GeeksforGeeks
Your All-in-One Learning Portal: GeeksforGeeks is a comprehensive educational platform that empowers learners across domains-spanning computer science and programming, school education, upskilling, commerce, software tools, competitive exams, and more.
π5
π Anomaly Detection: Algorithms, Explanations, Applications
π₯Free recorded tutorial by Dr. Dietterichβs.He is part of the leadership team for OSUβs Ecosystem Informatics programs including the NSF Summer Institute in Ecoinformatics
π₯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 βalarmsβ 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.
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #Anomaly_Detection #Algorithms #Explanations #Applications
π₯Free recorded tutorial by Dr. Dietterichβs.He is part of the leadership team for OSUβs Ecosystem Informatics programs including the NSF Summer Institute in Ecoinformatics
π₯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 βalarmsβ 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.
π½ Watch
π±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 anomalyβ¦
π2
π Machine Learning for Graph Algorithms and Representations
πA Thesis Submitted to the Faculty in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Engineering Sciences
πPublish year: 2024
π§βπ»Author: Allison Mann
π’University: College Hanover, New Hampshire
πStudy Thesis
π±Channel: @ComplexNetworkAnalysis
#Thesis #Machine_Learning #Algorithms #Representations
πA Thesis Submitted to the Faculty in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Engineering Sciences
πPublish year: 2024
π§βπ»Author: Allison Mann
π’University: College Hanover, New Hampshire
πStudy Thesis
π±Channel: @ComplexNetworkAnalysis
#Thesis #Machine_Learning #Algorithms #Representations
π1
πOptimizing Graph Theory Algorithms for Social Network Analysis
π Publish year: 2024
πJournal: Communications on Applied Nonlinear Analysis
π§βπ»Authors: Susanta Kumar Sahoo,Sasmita Mishra
π’University: Department of Computer Science Engineering & Applications,IGIT Sarang, Odisha, India
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #Graph #Optimizing #Algorithms
π Publish year: 2024
πJournal: Communications on Applied Nonlinear Analysis
π§βπ»Authors: Susanta Kumar Sahoo,Sasmita Mishra
π’University: Department of Computer Science Engineering & Applications,IGIT Sarang, Odisha, India
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #Graph #Optimizing #Algorithms