Reasons for increased learning using multimedia S Bagui Journal of educational multimedia and hypermedia 7, 3-18, 1998 | 401 | 1998 |
Database design using entity-relationship diagrams S Bagui, R Earp Auerbach Publications, 2003 | 243 | 2003 |
Resampling imbalanced data for network intrusion detection datasets S Bagui, K Li Journal of Big Data 8 (1), 6, 2021 | 183 | 2021 |
Breast cancer detection using rank nearest neighbor classification rules SC Bagui, S Bagui, K Pal, NR Pal Pattern recognition 36 (1), 25-34, 2003 | 143 | 2003 |
Comparison of machine-learning algorithms for classification of VPN network traffic flow using time-related features S Bagui, X Fang, E Kalaimannan, SC Bagui, J Sheehan Journal of Cyber Security Technology 1 (2), 108-126, 2017 | 105 | 2017 |
Introduction to NFTs: the future of digital collectibles M Ali, S Bagui International Journal of Advanced Computer Science and Applications 12 (10 …, 2021 | 63 | 2021 |
Database sharding: to provide fault tolerance and scalability of big data on the cloud S Bagui, LT Nguyen International Journal of Cloud Applications and Computing (IJCAC) 5 (2), 36-52, 2015 | 56 | 2015 |
Using machine learning techniques to identify rare cyber‐attacks on the UNSW‐NB15 dataset S Bagui, E Kalaimannan, S Bagui, D Nandi, A Pinto Security and Privacy 2 (6), e91, 2019 | 54 | 2019 |
Classifying phishing email using machine learning and deep learning S Bagui, D Nandi, S Bagui, RJ White 2019 International Conference on Cyber Security and Protection of Digital …, 2019 | 51 | 2019 |
Achievements and weaknesses of object-oriented databases S Bagui Journal of object technology 2 (4), 29-41, 2003 | 47 | 2003 |
Machine learning and deep learning for phishing email classification using one-hot encoding S Bagui, D Nandi, S Bagui, RJ White Journal of Computer Science 17, 610-623, 2021 | 37 | 2021 |
Machine learning based intrusion detection for IoT botnet S Bagui, X Wang, S Bagui International Journal of Machine Learning and Computing 11 (6), 399-406, 2021 | 36 | 2021 |
Atmospheric deposition of mercury and major ions to the Pensacola (Florida) watershed: spatial, seasonal, and inter-annual variability JM Caffrey, WM Landing, SD Nolek, KJ Gosnell, SS Bagui, SC Bagui Atmospheric Chemistry and Physics 10 (12), 5425-5434, 2010 | 33 | 2010 |
Positive and negative association rule mining in Hadoop’s MapReduce environment S Bagui, PC Dhar Journal of big data 6, 1-16, 2019 | 30 | 2019 |
Adaptable enterprise architectures for software evolution of SmartLife ecosystems A Zimmermann, B Gonen, R Schmidt, E El-Sheikh, S Bagui, N Wilde 2014 IEEE 18th International Enterprise Distributed Object Computing …, 2014 | 30 | 2014 |
A heuristic approach for load balancing the FP-growth algorithm on MapReduce S Bagui, K Devulapalli, J Coffey Array 7, 100035, 2020 | 27 | 2020 |
An approach to mining crime patterns S Bagui International Journal of Data Warehousing and Mining (IJDWM) 2 (1), 50-80, 2006 | 25 | 2006 |
Deriving strong association mining rules using a dependency criterion, the lift measure S Bagui, J Just, SC Bagui International Journal of Data Analysis Techniques and Strategies 1 (3), 297-312, 2009 | 23 | 2009 |
Mapping OWL to the entity relationship and extended entity relationship models S Bagui International journal of knowledge and web intelligence 1 (1-2), 125-149, 2009 | 17 | 2009 |
Learning SQL on SQL server 2005 SS Bagui, RW Earp " O'Reilly Media, Inc.", 2006 | 16 | 2006 |