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Machine Learning Models and Algorithms for Big Data Classification: Thinking with Examples for Effective Learning

Suthaharan, Shan

1st ed. 2016, 2015

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Urban expansion modeling using an enhanced decision tree algorithm

GeoInformatica, 2021-10, Vol.25 (4), p.715-731

2021

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Fall Detection using Machine Learning Techniques and Frequency-Driven Riemannian Manifolds

2023 International Conference on Machine Learning and Applications (ICMLA), 2023, p.194-201

Suthaharan, Shan

2023

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Modeling and simulation of a Tamil language encoder for advanced encryption technologies

Patterns (New York, N.Y.), 2023-07, Vol.4 (7), p.100740-100740, Article 100740

Suthaharan, Shan

2023

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Big data analytics: Machine learning and Bayesian learning perspectives—What is done? What is not?

Wiley interdisciplinary reviews. Data mining and knowledge discovery, 2019-01, Vol.9 (1), p.e1283-n/a

Suthaharan, Shan

2019

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No-reference visually significant blocking artifact metric for natural scene images

Signal processing, 2009-08, Vol.89 (8), p.1647-1652

Suthaharan, Shan

2009

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A low-sensitivity quantitative measure for traffic safety data analytics

International journal of data science and analytics, 2020-03, Vol.9 (2), p.241-256

Suthaharan, Shan

2020

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Big data classification: problems and challenges in network intrusion prediction with machine learning

Performance evaluation review, 2014, Vol.41 (4), p.70-73

Suthaharan, Shan

2014

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An enhanced support vector machine model for urban expansion prediction

Computers, environment and urban systems, 2019-05, Vol.75, p.61-75

2019

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Fragile image watermarking using a gradient image for improved localization and security

Pattern recognition letters, 2004-12, Vol.25 (16), p.1893-1903

Suthaharan, Shan

2004

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A Single-Domain, Representation-Learning Model for Big Data Classification of Network Intrusion

Machine Learning and Data Mining in Pattern Recognition, p.296-310

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Elliptical modeling and pattern analysis for perturbation models and classification

International journal of data science and analytics, 2019-03, Vol.7 (2), p.103-113

2019

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Reduction of queue oscillation in the next generation Internet routers

Computer communications, 2007-12, Vol.30 (18), p.3881-3891

Suthaharan, Shan

2007

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Laplacian feature detection and feature alignment for multimodal ophthalmic image registration using phase correlation and Hessian affine feature space

Signal processing, 2020-12, Vol.177, p.107733, Article 107733

2020

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Logistic Map-Based Fragile Watermarking for Pixel Level Tamper Detection and Resistance

EURASIP Journal on Information Security, 2010, Vol.2010, p.1-7

Suthaharan, Shan

2010

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An iterative ellipsoid-based anomaly detection technique for intrusion detection systems

2012 Proceedings of IEEE Southeastcon, 2012, p.1-6

Suthaharan, S.

2012

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Decision Tree Learning

Machine Learning Models and Algorithms for Big Data Classification, p.237-269

Suthaharan, Shan

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Relevance feature selection with data cleaning for intrusion detection system

2012 Proceedings of IEEE Southeastcon, 2012, p.1-6

2012

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Enhanced Accuracy Moment Invariants for Biometric Recognition and Cryptosystems

Image Analysis and Recognition, p.439-450

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Pixel-Level Feature Space Modeling and Brain Tumor Detection Using Machine Learning

2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA), 2020, p.821-826

2020

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A correlation-based subspace analysis for data confidentiality and classification as utility in CPS

2016 IEEE Conference on Communications and Network Security (CNS), 2016, p.426-431

Suthaharan, Shan

2016

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A new quality metric based on just-noticeable difference, perceptual regions, edge extraction and human vision

Canadian journal of electrical and computer engineering, 2005-01, Vol.30 (2), p.81-88

2005

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Analysis of Datasets for Network Traffic Classification

Topics from the 8th Annual UNCG Regional Mathematics and Statistics Conference, 2013, Vol.64, p.155-168

2013

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Science of Information

Machine Learning Models and Algorithms for Big Data Classification, 2015, Vol.36, p.1-13

Suthaharan, Shan

2015

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Privacy-Preserving Predictive Model Using Factor Analysis for Neuroscience Applications

2019 IEEE 5th Intl Conference on Big Data Security on Cloud (BigDataSecurity), IEEE Intl Conference on High Performance and Smart Computing, (HPSC) and IEEE Intl Conference on Intelligent Data and Security (IDS), 2019, p.67-73

2019

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Machine Learning Models and Algorithms for Big Data Classification: Thinking with Examples for Effective Learning

Urban expansion modeling using an enhanced decision tree algorithm

Fall Detection using Machine Learning Techniques and Frequency-Driven Riemannian Manifolds

Modeling and simulation of a Tamil language encoder for advanced encryption technologies

Big data analytics: Machine learning and Bayesian learning perspectives—What is done? What is not?

No-reference visually significant blocking artifact metric for natural scene images

A low-sensitivity quantitative measure for traffic safety data analytics

Big data classification: problems and challenges in network intrusion prediction with machine learning

An enhanced support vector machine model for urban expansion prediction

Fragile image watermarking using a gradient image for improved localization and security

A Single-Domain, Representation-Learning Model for Big Data Classification of Network Intrusion

Elliptical modeling and pattern analysis for perturbation models and classification

Reduction of queue oscillation in the next generation Internet routers

Laplacian feature detection and feature alignment for multimodal ophthalmic image registration using phase correlation and Hessian affine feature space

Logistic Map-Based Fragile Watermarking for Pixel Level Tamper Detection and Resistance

An iterative ellipsoid-based anomaly detection technique for intrusion detection systems

Decision Tree Learning

Relevance feature selection with data cleaning for intrusion detection system

Enhanced Accuracy Moment Invariants for Biometric Recognition and Cryptosystems

Pixel-Level Feature Space Modeling and Brain Tumor Detection Using Machine Learning

A correlation-based subspace analysis for data confidentiality and classification as utility in CPS

A new quality metric based on just-noticeable difference, perceptual regions, edge extraction and human vision

Analysis of Datasets for Network Traffic Classification

Science of Information

Privacy-Preserving Predictive Model Using Factor Analysis for Neuroscience Applications

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