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

  1. 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, 378 downloads.
  2. 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, 600 downloads.
  3. 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, 489 downloads.
  4. 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, 771 downloads.
  5. 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, 418 downloads.