Subhash C. Bagui - researchr alias

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Viewing Publication 1 - 24 from 24

2024

Alternative tests for the significance of the intraclass correlation coefficients under unequal family sizesSubhamoy Pal, Rong Luo, Subhash C. Bagui, Sudhir Paul. cssc, 53(1):409-426, January 2024. [doi]

2023

Introducing UWF-ZeekData22: A Comprehensive Network Traffic Dataset Based on the MITRE ATT&CK FrameworkSikha Bagui, Dustin Mink, Subhash C. Bagui, Tirthankar Ghosh, Russell Plenkers, Tom McElroy, Stephan Dulaney, Sajida Shabanali. data, 8(1):18, January 2023. [doi]

Determining Resampling Ratios Using BSMOTE and SVM-SMOTE for Identifying Rare Attacks in Imbalanced Cybersecurity DataSikha Bagui, Dustin Mink, Subhash C. Bagui, Sakthivel Subramaniam. computers, 12(10):204, September 2023. [doi]

Using a Graph Engine to Visualize the Reconnaissance Tactic of the MITRE ATT&CK Framework from UWF-ZeekData22Sikha Bagui, Dustin Mink, Subhash C. Bagui, Michael Plain, Jadarius Hill, Marshall Elam. fi, 15(7):236, July 2023. [doi]

Resampling Imbalanced Network Intrusion Datasets to Identify Rare AttacksSikha Bagui, Dustin Mink, Subhash C. Bagui, Sakthivel Subramaniam, Daniel Wallace. fi, 15(4):130, April 2023. [doi]

Anomaly Detection for Modbus over TCP in Control Systems Using Entropy and Classification-Based AnalysisTirthankar Ghosh, Sikha Bagui, Subhash C. Bagui, Martin Kadzis, Jackson Bare. jocsap, 3(4):895-913, December 2023. [doi]

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 FrameworkSikha Bagui, Dustin Mink, Subhash C. Bagui, Tirthankar Ghosh, Tom McElroy, Esteban Paredes, Nithisha Khasnavis, Russell Plenkers. sensors, 22(20):7999, 2022. [doi]

2021

Classifying UNSW-NB15 Network Traffic in the Big Data Framework Using Random Forest in SparkSikha Bagui, Jason Simonds, Russell Plenkers, Timothy A. Bennett, Subhash C. Bagui. ijbdia, 2(1):39-61, 2021. [doi]

Binary Classification of Network-Generated Flow Data Using a Machine Learning AlgorithmSikha Bagui, Keenal M. Shah, Yizhi Hu, Subhash C. Bagui. ijisp, 15(1):26-43, 2021. [doi]

2019

2018

Using locality sensitive hashing to improve the KNN algorithm in the mapreduce frameworkSikha Bagui, Arup Kumar Mondal, Subhash C. Bagui. ACMse 2018: [doi]

A Parallel Implementation of Information Gain Using Hive in Conjunction with MapReduce for Continuous FeaturesSikha Bagui, Sharon K. John, John P. Baggs, Subhash C. Bagui. pakdd 2018: 283-294 [doi]

A hybrid genetic algorithm for network intrusion detectionSikha Bagui, Debarghya Nandi, Subhash C. Bagui. ACMse 2018: [doi]

2017

Improving virtual screening predictive accuracy of Human kallikrein 5 inhibitors using machine learning modelsXingang Fang, Sikha Bagui, Subhash C. Bagui. CANDC, 69:110-119, 2017. [doi]

2011

An Architecture for Query Optimization Using Association Rule MiningSikha Bagui, Mohammad Islam, Subhash C. Bagui. ijkbo, 1(4):32-55, 2011. [doi]

2010

Using a cosine-type measure to derive strong association mining rulesSikha Bagui, Jiri Just, Subhash C. Bagui, Rohan Hemasinha. ijkedm, 1(1):69-83, 2010. [doi]

2009

Deriving strong association mining rules using a dependency criterion, the lift measureSikha Bagui, Jiri Just, Subhash C. Bagui. ijdats, 1(3):297-312, 2009. [doi]

2005

Combining Pattern Classifiers: Methods and AlgorithmsSubhash C. Bagui. technometrics, 47(4):517-518, 2005. [doi]

2003

Breast cancer detection using rank nearest neighbor classification rulesSubhash C. Bagui, Sikha Bagui, Kuhu Pal, Nikhil R. Pal. PR, 36(1):25-34, 2003. [doi]

1995

A multistage generalization of the rank nearest neighbor classification ruleSubhash C. Bagui, Nikhil R. Pal. prl, 16(6):601-614, 1995. [doi]

1993

Classification using first-stage rank nearest neighbor rule for multiple classesSubhash C. Bagui. prl, 14(7):537-544, 1993. [doi]

Classification of multiple observations using a rank nearest neighbor ruleSubhash C. Bagui. prl, 14(8):611-617, 1993. [doi]

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