Mohammad M. Masud

Tahseen Al-Khateeb, Mohammad M. Masud, Latifur Khan, Bhavani M. Thuraisingham: Cloud Guided Stream Classification Using Class-Based Ensemble. IEEE CLOUD 2012: 694-701

Tahseen Al-Khateeb, Mohammad M. Masud, Latifur Khan, Charu C. Aggarwal, Jiawei Han, Bhavani M. Thuraisingham: Stream Classification with Recurring and Novel Class Detection Using Class-Based Ensemble. ICDM 2012: 31-40

Mohammad M. Masud, Clay Woolam, Jing Gao, Latifur Khan, Jiawei Han, Kevin W. Hamlen, Nikunj C. Oza: Facing the reality of data stream classification: coping with scarcity of labeled data. Knowl. Inf. Syst. 33(1): 213-244 (2011)

Mohammad M. Masud, Jing Gao, Latifur Khan, Jiawei Han, Bhavani M. Thuraisingham: Classification and Novel Class Detection in Concept-Drifting Data Streams under Time Constraints. IEEE Trans. Knowl. Data Eng. 23(6): 859-874 (2011)

Mohammad Farhan Husain, James P. McGlothlin, Mohammad M. Masud, Latifur R. Khan, Bhavani M. Thuraisingham: Heuristics-Based Query Processing for Large RDF Graphs Using Cloud Computing. IEEE Trans. Knowl. Data Eng. 23(9): 1312-1327 (2011)

Mohammad M. Masud, Tahseen Al-Khateeb, Kevin W. Hamlen, Jing Gao, Latifur Khan, Jiawei Han, Bhavani M. Thuraisingham: Cloud-based malware detection for evolving data streams. ACM Trans. Management Inf. Syst. 2(3): 16 (2011)

Mohammad M. Masud, Tahseen Al-Khateeb, Latifur Khan, Charu C. Aggarwal, Jing Gao, Jiawei Han, Bhavani M. Thuraisingham: Detecting Recurring and Novel Classes in Concept-Drifting Data Streams. ICDM 2011: 1176-1181

Mohammad M. Masud, Qing Chen, Latifur Khan, Charu C. Aggarwal, Jing Gao, Jiawei Han, Bhavani M. Thuraisingham: Addressing Concept-Evolution in Concept-Drifting Data Streams. ICDM 2010: 929-934

Mohammad M. Masud, Jing Gao, Latifur Khan, Jiawei Han, Bhavani M. Thuraisingham: Classification and Novel Class Detection in Data Streams with Active Mining. PAKDD (2) 2010: 311-324

Mohammad M. Masud, Qing Chen, Jing Gao, Latifur Khan, Jiawei Han, Bhavani M. Thuraisingham: Classification and Novel Class Detection of Data Streams in a Dynamic Feature Space. ECML/PKDD (2) 2010: 337-352

Kevin W. Hamlen, Vishwath Mohan, Mohammad M. Masud, Latifur Khan, Bhavani M. Thuraisingham: Exploiting an antivirus interface. Computer Standards & Interfaces 31(6): 1182-1189 (2009)

Clay Woolam, Mohammad M. Masud, Latifur Khan: Lacking Labels in the Stream: Classifying Evolving Stream Data with Few Labels. ISMIS 2009: 552-562

Mohammad M. Masud, Jing Gao, Latifur Khan, Jiawei Han, Bhavani M. Thuraisingham: A Multi-partition Multi-chunk Ensemble Technique to Classify Concept-Drifting Data Streams. PAKDD 2009: 363-375

Mohammad M. Masud, Jing Gao, Latifur Khan, Jiawei Han, Bhavani M. Thuraisingham: Integrating Novel Class Detection with Classification for Concept-Drifting Data Streams. ECML/PKDD (2) 2009: 79-94

Mohammad M. Masud, Latifur Khan, Bhavani M. Thuraisingham: A scalable multi-level feature extraction technique to detect malicious executables. Information Systems Frontiers 10(1): 33-45 (2008)

Bhavani M. Thuraisingham, Latifur Khan, Mohammad M. Masud, Kevin W. Hamlen: Data Mining for Security Applications. EUC (2) 2008: 585-589

Mohammad M. Masud, Jing Gao, Latifur Khan, Jiawei Han, Bhavani M. Thuraisingham: A Practical Approach to Classify Evolving Data Streams: Training with Limited Amount of Labeled Data. ICDM 2008: 929-934

Mohammad M. Masud, Latifur Khan, Bhavani M. Thuraisingham, Xinran Wang, Peng Liu, Sencun Zhu: Detecting Remote Exploits Using Data Mining. IFIP Int. Conf. Digital Forensics 2008: 177-189

Mohammad M. Masud, Latifur Khan, Bhavani M. Thuraisingham: E-Mail Worm Detection Using Data Mining. IJISP 1(4): 47-61 (2007)

Mohammad M. Masud, Latifur Khan, Bhavani M. Thuraisingham: A Hybrid Model to Detect Malicious Executables. ICC 2007: 1443-1448

Mohammad M. Masud, Latifur Khan, Bhavani M. Thuraisingham: Feature Based Techniques for Auto-Detection of Novel Email Worms. PAKDD 2007: 205-216

Mohammad M. Masud, Latifur Khan, Ehab Al-Shaer: Email Worm Detection Using Naïve Bayes and Support Vector Machine. ISI 2006: 733-734