Shafiq Alam

Shafiq Alam received his Ph.D. degree from the University of Auckland and is currently working as a research fellow in the Department of Computer Science, University of Auckland. His research interests include optimization based data mining, web usage mining, and computational intelligence. He has two masters, one in Information Technology, and another in Computer Science. He has a B.Sc. in Computer Science. Shafiq Alam has held the positions of Lecturer, Assistant Professor, and Academic Coordinator at university level. He has been on the Program Committees of A-ranked data mining conferences and computational intelligence conferences.

Publications

Biologically Inspired Techniques for Data Mining: A Brief Overview of Particle Swarm Optimization for KDD
Biologically Inspired Techniques for Data Mining: A Brief Overview of Particle Swarm Optimization for KDD
Shafiq Alam, Gillian Dobbie, Yun Sing Koh, Saeed ur Rehman. © 2016. 10 pages.
Knowledge Discovery and Data (KDD) mining helps uncover hidden knowledge in huge amounts of data. However, recently, different researchers have questioned the capability of...
Biologically-Inspired Techniques for Knowledge Discovery and Data Mining
Biologically-Inspired Techniques for Knowledge Discovery and Data Mining
Shafiq Alam, Gillian Dobbie, Yun Sing Koh, Saeed ur Rehman. © 2014. 375 pages.
Biologically-inspired data mining has a wide variety of applications in areas such as data clustering, classification, sequential pattern mining, and information extraction in...