Subhash C. Bagui

Orcid: 0000-0001-6140-5384

According to our database1, Subhash C. Bagui authored at least 24 papers between 1993 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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On csauthors.net:

Bibliography

2024
Alternative tests for the significance of the intraclass correlation coefficients under unequal family sizes.
Commun. Stat. Simul. Comput., January, 2024

2023
Anomaly Detection for Modbus over TCP in Control Systems Using Entropy and Classification-Based Analysis.
J. Cybersecur. Priv., December, 2023

Determining Resampling Ratios Using BSMOTE and SVM-SMOTE for Identifying Rare Attacks in Imbalanced Cybersecurity Data.
Comput., September, 2023

Using a Graph Engine to Visualize the Reconnaissance Tactic of the MITRE ATT&CK Framework from UWF-ZeekData22.
Future Internet, July, 2023

Resampling Imbalanced Network Intrusion Datasets to Identify Rare Attacks.
Future Internet, April, 2023

Introducing UWF-ZeekData22: A Comprehensive Network Traffic Dataset Based on the MITRE ATT&CK Framework.
Data, January, 2023

2022
Detecting Reconnaissance and Discovery Tactics from the MITRE ATT&CK Framework in Zeek Conn Logs Using Spark's Machine Learning in the Big Data Framework.
Sensors, 2022

2021
Binary Classification of Network-Generated Flow Data Using a Machine Learning Algorithm.
Int. J. Inf. Secur. Priv., 2021

Classifying UNSW-NB15 Network Traffic in the Big Data Framework Using Random Forest in Spark.
Int. J. Big Data Intell. Appl., 2021

2019
Using machine learning techniques to identify rare cyber-attacks on the UNSW-NB15 dataset.
Secur. Priv., 2019

Improving the Performance of kNN in the MapReduce Framework Using Locality Sensitive Hashing.
Int. J. Distributed Syst. Technol., 2019

Classifying Phishing Email Using Machine Learning and Deep Learning.
Proceedings of the 2019 International Conference on Cyber Security and Protection of Digital Services, 2019

2018
A Parallel Implementation of Information Gain Using Hive in Conjunction with MapReduce for Continuous Features.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2018

A hybrid genetic algorithm for network intrusion detection.
Proceedings of the ACMSE 2018 Conference, Richmond, KY, USA, March 29-31, 2018, 2018

Using locality sensitive hashing to improve the KNN algorithm in the mapreduce framework.
Proceedings of the ACMSE 2018 Conference, Richmond, KY, USA, March 29-31, 2018, 2018

2017
Improving virtual screening predictive accuracy of Human kallikrein 5 inhibitors using machine learning models.
Comput. Biol. Chem., 2017

2011
An Architecture for Query Optimization Using Association Rule Mining.
Int. J. Knowl. Based Organ., 2011

2010
Using a cosine-type measure to derive strong association mining rules.
Int. J. Knowl. Eng. Data Min., 2010

2009
Deriving strong association mining rules using a dependency criterion, the lift measure.
Int. J. Data Anal. Tech. Strateg., 2009

2005
Combining Pattern Classifiers: Methods and Algorithms.
Technometrics, 2005

2003
Breast cancer detection using rank nearest neighbor classification rules.
Pattern Recognit., 2003

1995
A multistage generalization of the rank nearest neighbor classification rule.
Pattern Recognit. Lett., 1995

1993
Classification of multiple observations using a rank nearest neighbor rule.
Pattern Recognit. Lett., 1993

Classification using first-stage rank nearest neighbor rule for multiple classes.
Pattern Recognit. Lett., 1993


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