Achievements and Weaknesses of Object-Oriented Databases. - Sikha Bagui (J. Object Technol., 2003)

Breast cancer detection using rank nearest neighbor classification rules. - Subhash C. Bagui; Sikha Bagui; Kuhu Pal; Nikhil R. Pal (Pattern Recognit., 2003)

Extended Entity Relationship Modeling. - Sikha Bagui (Encyclopedia of Database Technologies and Applications, 2005)

Rules for migrating from ER and EER diagrams to Object-Relationship (OR) diagrams. - Sikha Bagui (ACM Southeast Regional Conference (1), 2005)

Learning SQL on SQL server 2005 - the simplest way to learn to query SQL server. - Sikha Bagui; Richard Walsh Earp (O'Reilly, 2006)

A Java Based Parser Software for Converting XML Documents to the ER Model and Relational Databases. - Sikha Bagui; Damien Walker (SWWS, 2006)

An Approach to Mining Crime Patterns. - Sikha Bagui (Int. J. Data Warehous. Min., 2006)

Developing a Conceptual Model for XML Schema. - Sikha Bagui (SWWS, 2007)

Data mining techniques to study voting patterns in the US. - Sikha Bagui; Dustin Mink; Patrick Cash (Data Sci. J., 2007)

Mapping XML Schema to Entity Relationship and Extended Entity Relationship Models. - Sikha Bagui (Int. J. Intell. Inf. Database Syst., 2007)

A formal definition for translating XML documents to the entity relationship model. - Sikha Bagui (Int. J. Metadata Semant. Ontologies, 2007)

An Approach to Mining Crime Patterns. - Sikha Bagui (Selected Readings on Database Technologies and Applications, 2009)

Innovative Strategies to Build IT Workforce. - Lakshmi Prayaga; Laura J. White; Sikha Bagui (CSEE&T, 2009)

Deriving strong association mining rules using a dependency criterion, the lift measure. - Sikha Bagui; Jiri Just; Subhash C. Bagui (Int. J. Data Anal. Tech. Strateg., 2009)

Generating Join Queries for Large Databases and Web Services. - Sikha Bagui; Adam Loggins (Int. J. Inf. Technol. Web Eng., 2009)

Mapping OWL to the Entity Relationship and Extended Entity Relationship models. - Sikha Bagui (Int. J. Knowl. Web Intell., 2009)

Database education in the new millenium. - Sikha Bagui; Leo Ter Haar (J. Comput. Sci. Coll., 2009)

Query optimization in large databases using association rule mining. - Sikha Bagui; Mohammad Islam (ACM Southeast Regional Conference, 2010)

Using a cosine-type measure to derive strong association mining rules. - Sikha Bagui; Jiri Just; Subhash C. Bagui; Rohan Hemasinha (Int. J. Knowl. Eng. Data Min., 2010)

An Architecture for Query Optimization Using Association Rule Mining. - Sikha Bagui; Mohammad Islam; Subhash C. Bagui (Int. J. Knowl. Based Organ., 2011)

Modeling Service Data Objects (SDOs) to the Entity-Relationship (ER) Model. - Sikha Bagui; Richard Sweetman (Int. J. Inf. Technol. Web Eng., 2012)

Adaptable Enterprise Architectures for Software Evolution of SmartLife Ecosystems. - Alfred Zimmermann; Bilal Gonen; Rainer Schmidt 001; Eman El-Sheikh; Sikha Bagui; Norman Wilde (EDOC Workshops, 2014)

Maintaining SOA Systems of the Future - How Can Ontological Modeling Help?. - Bilal Gonen; Xingang Fang; Eman El-Sheikh; Sikha Bagui; Norman Wilde; Alfred Zimmermann; Ilia Petrov 001 (KEOD, 2014)

Database Sharding: To Provide Fault Tolerance and Scalability of Big Data on the Cloud. - Sikha Bagui; Loi Tang Nguyen (Int. J. Cloud Appl. Comput., 2015)

Impact of Automated Software Testing Tools on Reflective Thinking and Student Performance in Introductory Computer Science Programming Classes. - Evorell Fridge; Sikha Bagui (Int. J. Inf. Commun. Technol. Educ., 2016)

Improving virtual screening predictive accuracy of Human kallikrein 5 inhibitors using machine learning models. - Xingang Fang; Sikha Bagui; Subhash C. Bagui (Comput. Biol. Chem., 2017)

Mining positive and negative association rules in Hadoop's MapReduce environment. - Sikha Bagui; Probal Chandra Dhar (ACM Southeast Regional Conference, 2018)

A comparative study of mapreduce and hive based on the design of the information gain algorithm for analytical workloads. - Sikha Bagui; Sharon K. John; John P. Baggs (ACM Southeast Regional Conference, 2018)

Using locality sensitive hashing to improve the KNN algorithm in the mapreduce framework. - Sikha Bagui; Arup Kumar Mondal; Subhash C. Bagui (ACM Southeast Regional Conference, 2018)

A hybrid genetic algorithm for network intrusion detection. - Sikha Bagui; Debarghya Nandi; Subhash C. Bagui (ACM Southeast Regional Conference, 2018)

A Parallel Implementation of Information Gain Using Hive in Conjunction with MapReduce for Continuous Features. - Sikha Bagui; Sharon K. John; John P. Baggs; Subhash C. Bagui (PAKDD (Workshops), 2018)

Comparison of Hive's query optimisation techniques. - Sikha Bagui; Keerthi Devulapalli (Int. J. Big Data Intell., 2018)

Classifying Phishing Email Using Machine Learning and Deep Learning. - Sikha Bagui; Debarghya Nandi; Subhash C. Bagui; Robert Jamie White (Cyber Security, 2019)

Design and Testing of a Real-Time Audio-Quality Feedback System for Weather Broadcasts and a Framework for a Weather Broadcast Transmission Technology Switch. - Amitabh Mishra; Sikha Bagui; John Compo (IEEE Access, 2019)

Improving the Performance of kNN in the MapReduce Framework Using Locality Sensitive Hashing. - Sikha Bagui; Arup Kumar Mondal; Subhash C. Bagui (Int. J. Distributed Syst. Technol., 2019)

Positive and negative association rule mining in Hadoop's MapReduce environment. - Sikha Bagui; Probal Chandra Dhar (J. Big Data, 2019)

Using machine learning techniques to identify rare cyber-attacks on the UNSW-NB15 dataset. - Sikha Bagui; Ezhil Kalaimannan; Subhash C. Bagui; Debarghya Nandi; Anthony Pinto (Secur. Priv., 2019)

Trusted Digital Identities for Mobile Devices. - P. Renee Carnley; Pam Rowland; Dave Bishop; Sikha Bagui; Matt Miller (DASC/PiCom/CBDCom/CyberSciTech, 2020)

A heuristic approach for load balancing the FP-growth algorithm on MapReduce. - Sikha Bagui; Keerthi Devulapalli; John Coffey 001 (Array, 2020)

Apache Spark SVM for Predicting Obstructive Sleep Apnea. - Katie Jin; Sikha Bagui (Big Data Cogn. Comput., 2020)

MapReduce Implementation of a Multinomial and Mixed Naive Bayes Classifier. - Sikha Bagui; Keerthi Devulapalli; Sharon K. John (Int. J. Intell. Inf. Technol., 2020)

Mining frequent itemsets from streaming transaction data using genetic algorithms. - Sikha Bagui; Richard P. Stanley (J. Big Data, 2020)

Marine Vessel Tracking using a Monocular Camera. - Tobias Jacob; Raffaele Galliera; Muddasar Ali; Sikha Bagui (DeLTA, 2021)

Near-Real-Time IDS for the U.S. FAA's NextGen ADS-B. - Dustin Mink; Jeffrey Todd McDonald; Sikha Bagui; William Bradley Glisson; Jordan Shropshire; Ryan Benton; Samuel H. Russ (Big Data Cogn. Comput., 2021)

Classifying UNSW-NB15 Network Traffic in the Big Data Framework Using Random Forest in Spark. - Sikha Bagui; Jason Simonds; Russell Plenkers; Timothy A. Bennett; Subhash C. Bagui (Int. J. Big Data Intell. Appl., 2021)

Binary Classification of Network-Generated Flow Data Using a Machine Learning Algorithm. - Sikha Bagui; Keenal M. Shah; Yizhi Hu; Subhash C. Bagui (Int. J. Inf. Secur. Priv., 2021)

Resampling imbalanced data for network intrusion detection datasets. - Sikha Bagui; Kunqi Li (J. Big Data, 2021)

Spark Configurations to Optimize Decision Tree Classification on UNSW-NB15. - Sikha Bagui; Mary Walauskis; Robert DeRush; Huyen Praviset; Shaunda Boucugnani (Big Data Cogn. Comput., 2022)

A Public Infrastructure for a Trusted Wireless World. - Renee Carnley; Sikha Bagui (Future Internet, 2022)

Machine Learning for Android Scareware Detection. - Sikha Bagui; Hunter Brock (J. Inf. Technol. Res., 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. - Sikha Bagui; Dustin Mink; Subhash C. Bagui; Tirthankar Ghosh; Tom McElroy; Esteban Paredes; Nithisha Khasnavis; Russell Plenkers (Sensors, 2022)

Introducing UWF-ZeekData22: A Comprehensive Network Traffic Dataset Based on the MITRE ATT&CK Framework. - Sikha Bagui; Dustin Mink; Subhash C. Bagui; Tirthankar Ghosh; Russell Plenkers; Tom McElroy; Stephan Dulaney; Sajida Shabanali (Data, 2023)

Resampling Imbalanced Network Intrusion Datasets to Identify Rare Attacks. - Sikha Bagui; Dustin Mink; Subhash C. Bagui; Sakthivel Subramaniam; Daniel Wallace (Future Internet, 2023)

Using a Graph Engine to Visualize the Reconnaissance Tactic of the MITRE ATT&CK Framework from UWF-ZeekData22. - Sikha Bagui; Dustin Mink; Subhash C. Bagui; Michael Plain; Jadarius Hill; Marshall Elam (Future Internet, 2023)

Determining Resampling Ratios Using BSMOTE and SVM-SMOTE for Identifying Rare Attacks in Imbalanced Cybersecurity Data. - Sikha Bagui; Dustin Mink; Subhash C. Bagui; Sakthivel Subramaniam (Comput., 2023)

Anomaly Detection for Modbus over TCP in Control Systems Using Entropy and Classification-Based Analysis. - Tirthankar Ghosh; Sikha Bagui; Subhash C. Bagui; Martin Kadzis; Jackson Bare (J. Cybersecur. Priv., 2023)

A Case Study of Taking AP Computer Science Principles: A Student's Perspective. - Sarah Cameron; Tony Pham; Sikha Bagui (SIGCSE (2), 2024)

Node Classification of Network Threats Leveraging Graph-Based Characterizations Using Memgraph. - Sadaf Charkhabi; Peyman Samimi; Sikha Bagui; Dustin Mink; Subhash C. Bagui (Comput., 2024)

Extended Isolation Forest for Intrusion Detection in Zeek Data. - Fariha Moomtaheen; Sikha Bagui; Subhash C. Bagui; Dustin Mink (Inf., 2024)

Introducing UWF-ZeekData24: An Enterprise MITRE ATT&CK Labeled Network Attack Traffic Dataset for Machine Learning/AI. - Marshall Elam; Dustin Mink; Sikha Bagui; Russell Plenkers; Subhash C. Bagui (Data, 2025)