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

By Yudong Zhang, Shuihua Wang, Preetha Phillips, Genlin Ji. Knowledge-Based Systems, 2014

417 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems

View Paper: https://www.semanticscholar.org/paper/19ffc793a33802285ad8b890d4bf5b2197565bcb

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Aboul Ella Otifey Hassanien
2. Hossam M. Zawbaa
3. Eid Emary
4. Yudong Zhang
5. V. Varadharajan
6. Suhuai Luo
7. Min Xu
8. Ibrahim A. Hameed

In Information Systems

1. V. Varadharajan
2. Aboul Ella Otifey Hassanien

Citations in the corpus

• A Survey on Machine Learning Techniques for Cyber Security in the Last Decade (2020, methodology): “Decision Tree was further used in [274], [313], [351]–[355] for spam classification.”
• Binary ant lion approaches for feature selection (2016, methodology): “Lots of research used a binary version of bio-inspired algorithms [22], [23], [24], [25].”
• A Comprehensive Survey on Particle Swarm Optimization Algorithm and Its Applications (2015, methodology): “[186] proposed a novel spam detection method that focused on reducing the false positive error ofmislabeling nonspamas spam.”