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。A weighted feature enhanced Hidden Markov Model for spam SMS filtering
Tian Xia et al.
NEUROCOMPUTING (2021)
A novel sophisticated hybrid method for intrusion detection using the artificial immune system
Ehsan Farzadnia et al.
JOURNAL OF INFORMATION SECURITY AND APPLICATIONS (2021)
Evaluation of feature selection methods for text classification with small datasets using multiple criteria decision-making methods
Gang Kou et al.
APPLIED SOFT COMPUTING (2020)
Deep learning to filter SMS Spam
Pradeep Kumar Roy et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2020)
Smishing Detector: A security model to detect smishing through SMS content analysis and URL behavior analysis
Sandhya Mishra et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2020)
SPAMI: A cognitive spam protector for advertisement malicious images
Aaisha Makkar et al.
INFORMATION SCIENCES (2020)
A Novel Technique for Behavioral Analytics Using Ensemble Learning Algorithms in E-Commerce
Mohammad Alojail et al.
IEEE ACCESS (2020)
A new semantic-based feature selection method for spam filtering
Jose R. Mendez et al.
APPLIED SOFT COMPUTING (2019)
An intelligent system for spam detection and identification of the most relevant features based on evolutionary Random Weight Networks
Hossam Faris et al.
INFORMATION FUSION (2019)
A review of soft techniques for SMS spam classification: Methods, approaches and applications
Olusola Abayomi-Alli et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2019)
A comprehensive review of krill herd algorithm: variants, hybrids and applications
Gai-Ge Wang et al.
ARTIFICIAL INTELLIGENCE REVIEW (2019)
SMS Spam Message Detection using Term Frequency-Inverse Document Frequency and Random Forest Algorithm
Nilam Nur Amir Sjarif et al.
FIFTH INFORMATION SYSTEMS INTERNATIONAL CONFERENCE (2019)
Machine learning for email spam filtering: review, approaches and open research problems
Emmanuel Gbenga Dada et al.
HELIYON (2019)
Detection of spam-posting accounts on Twitter
Isa Inuwa-Dutse et al.
NEUROCOMPUTING (2018)
Swarm Intelligence Algorithms for Feature Selection: A Review
Lucija Brezocnik et al.
APPLIED SCIENCES-BASEL (2018)
Clustering Using an Improved Krill Herd Algorithm
Qin Li et al.
ALGORITHMS (2017)
Variational genetic algorithm for NP-hard scheduling problem solution
A. I. Diveev et al.
XII INTERNATIONAL SYMPOSIUM INTELLIGENT SYSTEMS 2016, (INTELS 2016) (2017)
Training Neural Networks with Krill Herd Algorithm
Piotr A. Kowalski et al.
NEURAL PROCESSING LETTERS (2016)
Feature Selection using K-Means Genetic Algorithm for Multi-objective Optimization
M. Anusha et al.
3RD INTERNATIONAL CONFERENCE ON RECENT TRENDS IN COMPUTING 2015 (ICRTC-2015) (2015)
Dendritic Cell Algorithm for Mobile Phone Spam Filtering
Ali A. Al-Hasan et al.
6TH INTERNATIONAL CONFERENCE ON AMBIENT SYSTEMS, NETWORKS AND TECHNOLOGIES (ANT-2015), THE 5TH INTERNATIONAL CONFERENCE ON SUSTAINABLE ENERGY INFORMATION TECHNOLOGY (SEIT-2015) (2015)
A Perception Model of Spam Risk Assessment Inspired by Danger Theory of Artificial Immune Systems
Kamahazira Zainal et al.
INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND COMPUTATIONAL INTELLIGENCE (ICCSCI 2015) (2015)
An effective krill herd algorithm with migration operator in biogeography-based optimization
Gai-Ge Wang et al.
APPLIED MATHEMATICAL MODELLING (2014)
Theoretical formulation and analysis of the deterministic dendritic cell algorithm
Feng Gu et al.
BIOSYSTEMS (2013)
The Impact of Feature Extraction and Selection on SMS Spam Filtering
A. K. Uysal et al.
ELEKTRONIKA IR ELEKTROTECHNIKA (2013)
Krill herd: A new bio-inspired optimization algorithm
Amir Hossein Gandomi et al.
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION (2012)