Comparative Analysis of Intrusion Detection Models using Big Data Analytics and Machine Learning Techniques

Muyideen Ayodeji Alaketu,Abiodun Oguntimilehin,Kehinde Adebola Olatunji,Oluwatoyin Bunmi Abiola,Bukola Badeji-Ajisafe,Christiana Olanike Akinduyite,Stephen Eyitayo Obamiyi,Gbemisola Olutosin Babalola,Toyin Okebule

#Cyber intrusion #intrusion detection system #machine learning #deep learning #ensemble learning #classifications #big data analytics

Comparative Analysis of Intrusion Detection Models using Big Data Analytics and Machine Learning Techniques

Muyideen Ayodeji Alaketu,Abiodun Oguntimilehin,Kehinde Adebola Olatunji,Oluwatoyin Bunmi Abiola,Bukola Badeji-Ajisafe,Christiana Olanike Akinduyite,Stephen Eyitayo Obamiyi,Gbemisola Olutosin Babalola,Toyin Okebule

#Cyber intrusion #intrusion detection system #machine learning #deep learning #ensemble learning #classifications #big data analytics

Classification of Breast Cancer using Ensemble Filter Feature Selection with Triplet Attention Based Efficient Net Classifier

Bangalore Nagaraj Madhukar,Shivanandamurthy Hiremath Bharathi,Matta Polnaya Ashwin

#Breast cancer classification #histopathology image #ensemble filter feature selection #triplet attention based EfficientNet #TAENet

Hybrid Feature Selection based on BTLBO and RNCA to Diagnose the Breast Cancer

Mohan Allam,Nandhini Malaiyappan

#Hybrid feature selection #binary teaching learning based optimization #neighborhood component analysis

New Model of Feature Selection based Chaotic Firefly Algorithm for Arabic Text Categorization

Meryeme Hadni,Hassane Hjiaj

#Chaotic method #firefly algorithm #arabic text categorization #feature selection

Utilizing Artificial Bee Colony Algorithm as Feature Selection Method in Arabic Text Classification

Musab Mustafa Hijazi,Akram Zeki,Amelia Ismail

#Artificial bee colony #Arabic text classification #wrapper feature selection #feature selection

A Hybrid Grey Wolf-Whale Optimization Algorithm for Classification of Corona Virus Genome Sequences using Deep Learning

Muthulakshmi Murugaiah,Murugeswari Ganesan

#Corona virus genome #deep learning #feature selection #GWO #hybrid optimization #WOA

A Method of Extracting Malware Features Based on Gini Impurity Increment and Improved TF-IDF

Shimiao Sun,Yashu Liu

#Gini impurity increment #TF-IDF #feature selection #dimensionality reduction

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Rangan Kodandaram, Shashank Mallikarjun, Manikantan Krishnamuthan, and Ramachandran Sivan

# FR # feature extraction # discrete wavelet transform # DCT # feature selection # BPSO

# Fuzzy apriori # feature selection # particle swarm # credit scoring

Roiss Alhutaish and Nazlia Omar

# ATC # K-NN # similarity measures # feature selection m ethods

Baraa Sharef 1, 3, Nazlia Omar1, and Zeyad Sharef 2

#Arabic TC # FRAM # automatic TC # text classification

Categorization in Arabic Text

#Root extraction # information retrieval # bigrams # stemming # Arabic morphological rules # feature selection

Features

#Port identification # deep packet inspection # netflow flow # machine learning

Modified Binary Bat Algorithm for Feature Selection in Unsupervised Learning

Abstract: Feature selection is the process of selecting a subset of optimal features by removing redundant and irrelevant

#Feature selection # unsupervised learning # binary bat algorithm # mutation

Reverse Engineering of Object Oriented System

Abstract: Now a day’s common problem faced by software community is to understand the legacy code. A decade ago the

#Clustering # feature selection # hierarchical # reverse engineering # rational software architect

Maximum Spanning Tree Based Redundancy Elimination for Feature Selection of High

Department of Information Technology, Indian Institute of Information Technology-Allahabad, India

#Data mining # feature selection # tree based approaches # maximum spanning tree # high dimensional data

Hybrid Support Vector Machine based Feature Selection Method for Text Classification

However, high dimensionality is a considerable impediment observed in the text classification field in spite of the fact that

#Feature ranking # text classification # feature selection # SVM-based weighting # hybridization # dimensionality reduction

Assessment of Ensemble Classifiers Using the Bagging

Hassan Mohamed1, Abdelazim Negm1, Mohamed Zahran2, and Oliver Saavedra3 1Department of Environmental Engineering, Egypt-Japan University of Science and Technology, Egypt 2Department of Geomatics Engineering, Benha University, Egypt 3Department of Civil Engineering, Tokyo Institute of Technology, Japan

#Bagging; classification; ensemble; landsat satellite magery

An Automated Real-Time People Tracking System Based on KLT Features Detection

Information Technology Department, Al-Balqa Applied University, Jordan 2Department of Computer Science, Princess Sumaya Uni versity for Technology, Jordan 3Department of Computer Science, Loughborough Univer sity, UK

# Object tracking # kalman-filter # features selection # KLT