4.5 Article

Email Filtering Using Hybrid Feature Selection Model

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Computer Science, Information Systems

Detection of spam reviews through a hierarchical attention architecture with N-gram CNN and Bi-LSTM

Yuxin Liu et al.

Summary: This study introduces a hierarchical attention network to detect spam reviews and extract important, comprehensive, and multi-granularity semantic information. Experimental results show that the proposed method has superior detection performance in various domains.

INFORMATION SYSTEMS (2022)

Article Computer Science, Artificial Intelligence

Clustering-Guided Particle Swarm Feature Selection Algorithm for High-Dimensional Imbalanced Data With Missing Values

Yong Zhang et al.

Summary: This article proposes a new evolutionary feature selection (FS) method to handle high-dimensional imbalanced data with missing values. By defining an improved RF-measure to evaluate the influence of missing data on FS performance and using it as an objective function, a particle swarm optimization-based FS method with fuzzy clustering (PSOFS-FC) is developed. Experimental results show that PSOFS-FC achieves excellent classification performance in a short amount of time, indicating its superiority in tackling high-dimensional imbalanced data with missing values.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2022)

Article Automation & Control Systems

A Fast Hybrid Feature Selection Based on Correlation-Guided Clustering and Particle Swarm Optimization for High-Dimensional Data

Xian-Fang Song et al.

Summary: This study proposes a new three-phase hybrid feature selection algorithm that effectively integrates three different feature selection methods to address the "curse of dimensionality" and high computational cost in high-dimensional feature selection problems. Experimental results demonstrate that the algorithm performs well in obtaining good feature subsets with the lowest computational cost on 18 real-world datasets.

IEEE TRANSACTIONS ON CYBERNETICS (2022)

Article Automation & Control Systems

Multiobjective Particle Swarm Optimization for Feature Selection With Fuzzy Cost

Ying Hu et al.

Summary: The article explores a fuzzy multiobjective FS method called PSOMOFS, which utilizes particle swarm optimization and introduces fuzzy dominance relationship and fuzzy crowding distance measure to solve the feature selection problem with fuzzy cost. Experimental results demonstrate that the proposed method can achieve feature sets with superior performances in approximation, diversity, and feature cost.

IEEE TRANSACTIONS ON CYBERNETICS (2021)

Article Automation & Control Systems

Intrusion Detection Using a New Hybrid Feature Selection Model

Adel Hamdan Mohammad

Summary: This study utilizes a new feature selection approach combining PSO and GWO for intrusion detection, showing their effectiveness in selecting intrusion detection features and providing outstanding results with minimal features. Moreover, the MRF features demonstrate excellent performance in the evaluation process criteria.

INTELLIGENT AUTOMATION AND SOFT COMPUTING (2021)

Article Computer Science, Information Systems

Cost-Based Heterogeneous Learning Framework for Real-Time Spam Detection in Social Networks With Expert Decisions

Jaeun Choi et al.

Summary: This paper presents a spam-detection framework that combines the advantages of experts and machine learning, resulting in a higher detection rate. The framework uses a primary machine learning filter to analyze messages first and then involves experts in analyzing suspicious messages to further improve accuracy.

IEEE ACCESS (2021)

Article Computer Science, Artificial Intelligence

Spam filtering using a logistic regression model trained by an artificial bee colony algorithm

Bilge Kagan Dedeturk et al.

APPLIED SOFT COMPUTING (2020)

Article Computer Science, Artificial Intelligence

Variable-Size Cooperative Coevolutionary Particle Swarm Optimization for Feature Selection on High-Dimensional Data

Xian-Fang Song et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2020)

Article Computer Science, Information Systems

Self-Adaptive Particle Swarm Optimization for Large-Scale Feature Selection in Classification

Yu Xue et al.

ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA (2019)

Article Computer Science, Information Systems

Visual and textual features based email spam classification using S-Cuckoo search and hybrid kernel support vector machine

T. Kumaresan et al.

CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS (2019)

Article Engineering, Multidisciplinary

Efficient email classification approach based on semantic methods

Eman M. Bahgat et al.

AIN SHAMS ENGINEERING JOURNAL (2018)

Article Computer Science, Artificial Intelligence

Fuzzy granular classifier approach for spam detection

Saber Salehi et al.

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS (2017)

Article Engineering, Electrical & Electronic

Email Classification Research Trends: Review and Open Issues

Ghulam Mujtaba et al.

IEEE Access (2017)

Article Computer Science, Artificial Intelligence

A Survey on Evolutionary Computation Approaches to Feature Selection

Bing Xue et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2016)

Article Automation & Control Systems

Particle swarm optimization (PSO). A tutorial

Federico Marini et al.

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2015)

Article Automation & Control Systems

A combined negative selection algorithm-particle swarm optimization for an email spam detection system

Ismaila Idris et al.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2015)

Article Computer Science, Information Systems

Clustering and classification of email contents

Izzat Alsmadi et al.

JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES (2015)

Article Computer Science, Artificial Intelligence

Improved email spam detection model with negative selection algorithm and particle swarm optimization

Ismaila Idris et al.

APPLIED SOFT COMPUTING (2014)

Article Computer Science, Artificial Intelligence

Binary PSO with mutation operator for feature selection using decision tree applied to spam detection

Yudong Zhang et al.

KNOWLEDGE-BASED SYSTEMS (2014)

Article Mathematics, Applied

Classification of Phishing Email Using Random Forest Machine Learning Technique

Andronicus A. Akinyelu et al.

JOURNAL OF APPLIED MATHEMATICS (2014)

Article Engineering, Electrical & Electronic

An Improved Particle Swarm Optimization (PSO)-Based MPPT for PV With Reduced Steady-State Oscillation

Kashif Ishaque et al.

IEEE TRANSACTIONS ON POWER ELECTRONICS (2012)

Article Computer Science, Artificial Intelligence

Application of genetic optimized artificial immune system and neural networks in spam detection

Adel Hamdan Mohammad et al.

APPLIED SOFT COMPUTING (2011)

Article Geography, Physical

Relevance of airborne lidar and multispectral image data for urban scene classification using Random Forests

Li Guo et al.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2011)

Article Mathematics, Applied

A comparative study of Artificial Bee Colony algorithm

Dervis Karaboga et al.

APPLIED MATHEMATICS AND COMPUTATION (2009)

Article Computer Science, Artificial Intelligence

Behavior-based spam detection using a hybrid method of rule-based techniques and neural networks

Chih-Hung Wu

EXPERT SYSTEMS WITH APPLICATIONS (2009)

Article Computer Science, Software Engineering

Using phrases as features in email classification

Matthew Chang et al.

JOURNAL OF SYSTEMS AND SOFTWARE (2009)

Article Computer Science, Artificial Intelligence

Random forests

L Breiman

MACHINE LEARNING (2001)