A Statistical Analysis of Lazy Classifiers Using Canadian Institute of Cybersecurity Datasets-Reference-Cited by-同舟云学术

A Statistical Analysis of Lazy Classifiers Using Canadian Institute of Cybersecurity Datasets

Published:2020 Issue: Volume: Page:215-222
ISSN:2367-4512
Container-title:Advances in Data Science and Management
language:
Short-container-title:

Author:

Panigrahi Ranjit,Borah Samarjeet

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-0978-0_21

Reference20 articles.

1. E.K. Garcia, S. Feldman, M.R. Gupta, S. Srivastava, Completely lazy learning. IEEE Trans. Knowl. Data Eng. 22(9), 1274–1285 (2010)

2. P. Tiwari, H. Dao, Nguyen GN: performance evaluation of lazy, decision tree classifier and multilayer perceptron on traffic accident analysis. Informatica 41(1), 13 (2017)

3. D. Aha, D. Kibler, Instance-based learning algorithms. Mach. Learn. 6, 37–66 (1991)

4. E. Frank, Fully supervised training of Gaussian radial basis function networks in WEKA. Department of Computer Science, University of Waikato (2014)

5. J.G. Cleary, L.E. Trigg, K*, an instance-based learner using an entropic distance measure, in 12th International Conference on Machine Learning, pp. 108–114 (1995)

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. PDF Malware Detection optimisation using machine learning;2023 3rd International Conference on Computing and Information Technology (ICCIT);2023-09-13

2. Towards data generation to alleviate privacy concerns for cybersecurity applications;2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC);2023-06

3. Machine Learning Approach to Automate Decision Support on Information System Attacks;Business Intelligence;2022

4. Machine Learning for Intrusion Detection: Design and Implementation of an IDS Based on Artificial Neural Network;Advances in Intelligent Systems and Computing;2021