| Classification and novel class detection in concept-drifting data streams under time constraints M Masud, J Gao, L Khan, J Han, BM Thuraisingham IEEE Transactions on knowledge and data engineering 23 (6), 859-874, 2010 | 536 | 2010 |
| Heuristics-based query processing for large RDF graphs using cloud computing M Husain, J McGlothlin, MM Masud, L Khan, BM Thuraisingham IEEE Transactions on Knowledge and Data Engineering 23 (9), 1312-1327, 2011 | 288 | 2011 |
| A practical approach to classify evolving data streams: Training with limited amount of labeled data MM Masud, J Gao, L Khan, J Han, B Thuraisingham 2008 Eighth IEEE International Conference on Data Mining, 929-934, 2008 | 219 | 2008 |
| Facing the reality of data stream classification: coping with scarcity of labeled data MM Masud, C Woolam, J Gao, L Khan, J Han, KW Hamlen, NC Oza Knowledge and information systems 33, 213-244, 2012 | 179 | 2012 |
| Classification and adaptive novel class detection of feature-evolving data streams MM Masud, Q Chen, L Khan, CC Aggarwal, J Gao, J Han, A Srivastava, ... IEEE Transactions on Knowledge and Data Engineering 25 (7), 1484-1497, 2012 | 171 | 2012 |
| Addressing concept-evolution in concept-drifting data streams MM Masud, Q Chen, L Khan, C Aggarwal, J Gao, J Han, B Thuraisingham 2010 IEEE International conference on data mining, 929-934, 2010 | 170 | 2010 |
| Flow-based identification of botnet traffic by mining multiple log files MM Masud, T Al-Khateeb, L Khan, B Thuraisingham, KW Hamlen 2008 first international conference on distributed framework and …, 2008 | 156 | 2008 |
| Integrating novel class detection with classification for concept-drifting data streams MM Masud, J Gao, L Khan, J Han, B Thuraisingham Machine Learning and Knowledge Discovery in Databases: European Conference …, 2009 | 132 | 2009 |
| Classification and novel class detection of data streams in a dynamic feature space MM Masud, Q Chen, J Gao, L Khan, J Han, B Thuraisingham Machine Learning and Knowledge Discovery in Databases: European Conference …, 2010 | 118 | 2010 |
| Streaming feature selection algorithms for big data: A survey N AlNuaimi, MM Masud, MA Serhani, N Zaki Applied Computing and Informatics 18 (1/2), 113-135, 2022 | 109 | 2022 |
| A scalable multi-level feature extraction technique to detect malicious executables MM Masud, L Khan, B Thuraisingham Information Systems Frontiers 10, 33-45, 2008 | 103 | 2008 |
| Detecting recurring and novel classes in concept-drifting data streams MM Masud, TM Al-Khateeb, L Khan, C Aggarwal, J Gao, J Han, ... 2011 IEEE 11th International Conference on Data Mining, 1176-1181, 2011 | 97 | 2011 |
| Data mining tools for malware detection M Masud, L Khan, B Thuraisingham CRC Press, 2016 | 96 | 2016 |
| Stream classification with recurring and novel class detection using class-based ensemble T Al-Khateeb, MM Masud, L Khan, C Aggarwal, J Han, B Thuraisingham 2012 IEEE 12th international conference on data mining, 31-40, 2012 | 96 | 2012 |
| Classification and novel class detection in data streams with active mining MM Masud, J Gao, L Khan, J Han, B Thuraisingham Advances in Knowledge Discovery and Data Mining: 14th Pacific-Asia …, 2010 | 91 | 2010 |
| Systems and methods for detecting a novel data class MM Masud, LR Khan, BM Thuraisingham, Q Chen, J Gao, J Han US Patent 9,165,051, 2015 | 88 | 2015 |
| Cloud-based malware detection for evolving data streams MM Masud, TM Al-Khateeb, KW Hamlen, J Gao, L Khan, J Han, ... ACM transactions on management information systems (TMIS) 2 (3), 1-27, 2011 | 83 | 2011 |
| A hybrid model to detect malicious executables MM Masud, L Khan, B Thuraisingham 2007 IEEE International Conference on Communications, 1443-1448, 2007 | 79 | 2007 |
| DeeProBot: a hybrid deep neural network model for social bot detection based on user profile data K Hayawi, S Mathew, N Venugopal, MM Masud, PH Ho Social Network Analysis and Mining 12 (1), 43, 2022 | 77 | 2022 |
| A multi-partition multi-chunk ensemble technique to classify concept-drifting data streams MM Masud, J Gao, L Khan, J Han, B Thuraisingham Advances in Knowledge Discovery and Data Mining: 13th Pacific-Asia …, 2009 | 77 | 2009 |
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