
Mohammad Masud
Role: Student
Affiliation: UTD
Department: Computer Science
Email: mehedy AT utdallas DOT edu
Business: +1(972)883-2185
Business Address: Box 830688, EC 31, Department of Computer Science,, Richardson, Texas 75083-0688, USA
Hi, welcome to my page. I am a Ph.D. candidate at the department of computer science, UTD.
My research interest is in Data Mining and Intrusion Detection
Author of 5 resources
- Mohammad Masud, Jing Gao, Latifur Khan, Jiawei Han, Xiaohu Li, "Classification and Novel Class Detection in Data Streams with Active Mining", InProceedings, Proc. 2010 Pacific-Asia Conf. on Knowledge Discovery and Data Mining (PAKDD'10), June 21, 2010, 90 downloads.
- Mohammad Masud, Jing Gao, Latifur Khan, Jiawei Han, Xiaohu Li, "Integrating Novel Class Detection with Classification for Concept-Drifting Data Streams", InProceedings, 2009 European Conf. on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD'09), September 21, 2009, 352 downloads.
- Mohammad Masud, Jing Gao, Latifur Khan, Jiawei Han, Xiaohu Li, "A Multi-Partition Multi-Chunk Ensemble Technique to Classify Concept-Drifting Data Streams", InProceedings, Pacific-Asia Conf. on Knowledge Discovery and Data Mining (PAKDD'09), April 27, 2009, 228 downloads.
- Mohammad Masud, Jing Gao, Latifur Khan, Jiawei Han, Xiaohu Li, "A Practical Approach to Classify Evolving Data Streams: Training with Limited Amount of Labeled Data", Article, December 30, 2008, 406 downloads.
- Mohammad Masud, Jing Gao, Latifur Khan, Jiawei Han, Xiaohu Li, "A Practical Approach to Classify Evolving Data Streams: Training with Limited Amount of Labeled Data", InProceedings, Int. Conf. on Data Mining (ICDM'08), December 02, 2008, 166 downloads.