An Effective Network Traffic Data Control Using Improved Apriori Rule Mining

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ISSN Print: 2153-1285
ISSN Online: 2153-1293
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"An Effective Network Traffic Data Control Using Improved Apriori Rule Mining"
written by Subbiyan Prakash, Murugasamy Vijayakumar,
published by Circuits and Systems, Vol.7 No.10, 2016

has been cited by the following article(s):

[1]	An Attribution of Cyberattack using Association Rule Mining (ARM)
	2020

[2]	Intrusion Detection and Vulnerability Analysis with Temporal Relationalship.
	2019

[3]	Mining Better Advertisement Tool for Government Schemes Using Machine Learning
	2019

[4]	Night Vision Patrolling Rover Navigation System for Women's Safety Using Machine Learning
	2019

[5]	ADAPTIVE MINING OF ASSOCIATION RULES OF INTER-TRANSACTIONAL DOMAINS
	2019

[6]	Application of a traffic flow prediction model based on neural network in intelligent vehicle management
	International Journal of Pattern Recognition and Artificial Intelligence, 2018

[7]	Research on precision management of farming season based on big data
	EURASIP Journal on Wireless Communications and Networking, 2018

[8]	Energy Efficient Virtual Machine Consolidation using DynamicThreshold in Cloud Data Centers
	International Journal of Research and Advanced Development, 2018

[9]	Biometric-based Crypto System using Water Stamping Scheme
	International Journal of Research and Advanced Development, 2018

[1]	Review of Cybersecurity Analysis in Smart Distribution Systems and Future Directions for Using Unsupervised Learning Methods for Cyber Detection Energies, 2023 DOI:10.3390/en16041651

[2]	Application of a Traffic Flow Prediction Model Based on Neural Network in Intelligent Vehicle Management International Journal of Pattern Recognition and Artificial Intelligence, 2018 DOI:10.1142/S0218001419590092

[3]	Research on precision management of farming season based on big data EURASIP Journal on Wireless Communications and Networking, 2018 DOI:10.1186/s13638-018-1161-y

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