| A link-based approach to the cluster ensemble problem N Iam-On, T Boongoen, S Garrett, C Price IEEE transactions on pattern analysis and machine intelligence 33 (12), 2396 …, 2011 | 269 | 2011 |
| Cluster ensembles: A survey of approaches with recent extensions and applications T Boongoen, N Iam-On Computer Science Review 28, 1-25, 2018 | 201 | 2018 |
| A link-based cluster ensemble approach for categorical data clustering N Iam-On, T Boongeon, S Garrett, C Price IEEE Transactions on knowledge and data engineering 24 (3), 413-425, 2010 | 151 | 2010 |
| LCE: a link-based cluster ensemble method for improved gene expression data analysis N Iam-On, T Boongoen, S Garrett Bioinformatics 26 (12), 1513-1519, 2010 | 148 | 2010 |
| Refining pairwise similarity matrix for cluster ensemble problem with cluster relations N Iam-On, T Boongoen, S Garrett International Conference on Discovery Science, 222-233, 2008 | 101 | 2008 |
| Generating descriptive model for student dropout: a review of clustering approach N Iam-On, T Boongoen Human-centric Computing and Information Sciences 7, 1-24, 2017 | 87 | 2017 |
| Nearest-neighbor guided evaluation of data reliability and its applications T Boongoen, Q Shen IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 40 …, 2010 | 82 | 2010 |
| Improved student dropout prediction in Thai University using ensemble of mixed-type data clusterings N Iam-On, T Boongoen International Journal of Machine Learning and Cybernetics 8, 497-510, 2017 | 80 | 2017 |
| Cluster-based KNN missing value imputation for DNA microarray data P Keerin, W Kurutach, T Boongoen 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2012 | 80 | 2012 |
| Extending data reliability measure to a filter approach for soft subspace clustering T Boongoen, C Shang, N Iam-On, Q Shen IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 41 …, 2011 | 68 | 2011 |
| Disclosing false identity through hybrid link analysis T Boongoen, Q Shen, C Price Artificial Intelligence and Law 18, 77-102, 2010 | 58 | 2010 |
| Prediction of student dropout using personal profile and data mining approach P Meedech, N Iam-On, T Boongoen Intelligent and Evolutionary Systems: The 19th Asia Pacific Symposium, IES …, 2016 | 51 | 2016 |
| Comparative study of matrix refinement approaches for ensemble clustering N Iam-On, T Boongoen Machine Learning 98, 269-300, 2015 | 49 | 2015 |
| Clustering data with the presence of missing values by ensemble approach M Pattanodom, N Iam-On, T Boongoen 2016 second asian conference on defence technology (acdt), 151-156, 2016 | 38 | 2016 |
| Clus-DOWA: A new dependent OWA operator T Boongoen, Q Shen 2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on …, 2008 | 35 | 2008 |
| Diversity-driven generation of link-based cluster ensemble and application to data classification N Iam-On, T Boongoen Expert Systems with Applications 42 (21), 8259-8273, 2015 | 33 | 2015 |
| A secure and privacy-preserving e-government framework using blockchain and artificial immunity N Elisa, L Yang, F Chao, N Naik, T Boongoen IEEE Access 11, 8773-8789, 2023 | 31 | 2023 |
| Improved knn imputation for missing values in gene expression data P Keerin, T Boongoen Computers, Materials and Continua 70 (2), 4009-4025, 2021 | 30 | 2021 |
| Fuzzy-import hashing: A static analysis technique for malware detection N Naik, P Jenkins, N Savage, L Yang, T Boongoen, N Iam-On Forensic Science International: Digital Investigation 37, 301139, 2021 | 30 | 2021 |
| Embedded YARA rules: strengthening YARA rules utilising fuzzy hashing and fuzzy rules for malware analysis N Naik, P Jenkins, N Savage, L Yang, T Boongoen, N Iam-On, K Naik, ... Complex & Intelligent Systems 7, 687-702, 2021 | 29 | 2021 |
