Hybrid decision tree and naïve Bayes classifiers for multi-class classification tasks
By Dewan Md. Farid, Li Zhang, Chowdhury Mofizur Rahman, Mohammed Alamgir Hossain, Rebecca Strachan. Expert systems with applications, 2014
407 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Information Systems
View Paper: https://www.semanticscholar.org/paper/b3d586acb6a680cc82a9aa8cde792bd3a316a113
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
- Benjamin P. Turnbull
- Nour Moustafa
- Kim-Kwang Raymond Choo
- Chin-Teng Lin
- Himan Shahabi
- Ataollah Shirzadi
- Binh Thai Pham
- Mukesh Prasad
In Information Systems
- Chin-Teng Lin
- Binh Thai Pham
- Mukesh Prasad
- Meng Joo Er
- Akshansh Gupta
- Neha Bharill
- Kim-Kwang Raymond Choo
- Nour Moustafa
Citations in the corpus
- An Ensemble Intrusion Detection Technique Based on Proposed Statistical Flow Features for Protecting Network Traffic of Internet of Things (2019, methodology): “2) ANN [11]: It is a technique that transforms inputs into outputs to match targets (i.”
- Mapping Groundwater Potential Using a Novel Hybrid Intelligence Approach (2018, methodology): “2014), logistic regression (LR) (Mair and El-Kadi 2013), Naive Bayes (NB) (Farid et al. 2014) and decision tree (Tehrany et al.”
- A review of clustering techniques and developments (2017, background): “There has been a rich amount of work in supervised classification, some of the pioneer supervised classification algorithms can be found in neural networks [10, 11], fuzzy sets [12, 13], PSO [14, 15], rough sets [16-18] , decision tree [19], Bayes classifiers [20] etc.”