Mohammad M. Masud
Mohammad M. Masud
Associate Professor, College of Information Technology, United Arab Emirates University
Bestätigte E-Mail-Adresse bei uaeu.ac.ae - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
3932010
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
2562011
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
2562011
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
1782008
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
1382008
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
1322012
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
1312010
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 (1), 213-244, 2012
1302012
Integrating novel class detection with classification for concept-drifting data streams
MM Masud, J Gao, L Khan, J Han, B Thuraisingham
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2009
1052009
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
Joint European conference on machine learning and knowledge discovery in …, 2010
912010
A scalable multi-level feature extraction technique to detect malicious executables
MM Masud, L Khan, B Thuraisingham
Information Systems Frontiers 10 (1), 33-45, 2008
872008
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
722011
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
712011
A multi-partition multi-chunk ensemble technique to classify concept-drifting data streams
MM Masud, J Gao, L Khan, J Han, B Thuraisingham
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 363-375, 2009
702009
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
682012
Data mining tools for malware detection
M Masud, L Khan, B Thuraisingham
CRC Press, 2011
672011
Classification and novel class detection in data streams with active mining
MM Masud, J Gao, L Khan, J Han, B Thuraisingham
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 311-324, 2010
652010
Data mining for security applications
B Thuraisingham, L Khan, MM Masud, KW Hamlen
2008 IEEE/IFIP International Conference on Embedded and Ubiquitous Computing …, 2008
542008
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
512015
A hybrid model to detect malicious executables
MM Masud, L Khan, B Thuraisingham
2007 IEEE International Conference on Communications, 1443-1448, 2007
512007
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