Staff Profile

Photo of Dr Shafiq Alam

Dr Shafiq Alam

Tutor - Business Information Systems

Dr Shafiq Alam is a lecturer at the NorthTec International Auckland Campus teaching business information systems.

Research Interests

  • Data Mining

  • Big data 

  • Machine Learning

  • Decision Support Systems

  • Financial Data Mining

Current Research

  • ​​Using big data infrastructure to predict traffic demands 

  • Tackling risks in recommender system

  • Predicting property prices based on historical data

  • Analysing legal documents for predicting the outcomes 

  • Using neural networks to classify medical (X-ray) data

  • Search engine optimisation using Machine learning 

  • Muscular data mining 

  • Crime data mining 

Publications

36. Rehman SU, Sowerby KW, Chong PH, Alam S. Robustness of radiometric fingerprinting in the presence of an impersonator. In2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC) 2017 Oct 8 (pp. 1-5). IEEE.

35. Alam, S., Dobbie G, Sun X. Improving Imputation Accuracy in Ordinal Data Using Classification. In International Conference on Intelligent Systems Design and Applications 2016 Dec 14 (pp. 45-56). Springer, Cham.

34. Rehman, S., K. W. Sowerby, Alam, S., Ardekani, I.,An Overview of Radio Frequency Fingerprinting for Low-End Devices, International Journal of Mobile Computing and Multimedia Communications , December 2015.

33.Wang, X., Junhao, W., Alam, S., Gao, X., Zhu, J.and Zeng, Jun.,Semi-supervised Learning Combining Transductive Support Vector Machine with Active Learning, Neurocomputing, 2015.

32.Alam, S., Dobbie, G., Riddle, P., and Koh, YS., Analysis of Particle Swarm Optimization Based Hierarchical Data Clustering Approaches, Swarm and Evolutionary Computation, 2015.(Impact factor: 4.5)

31.Zhou, W., Junhao, W., Koh, YS., Alam, S., and Dobbie, G., Detection of Abnormal Profiles on Group attacks in Recommender Systems, ACM SIGIR, 2014 (Core A-ranked)

30.Wang, X., Junhao, W., Alam, S., Gao, X., Zhu, J.and Zeng, Jun., Sales growth rate forecasting using Improved PSO and SVM, Mathematical Problems in Engineering, 2014. (Impact factor: 1.3)

29. Zhou, W., Junhao, W., Koh, YS., Alam, S., and Dobbie, G., Attack Detection in Recommender Systems Based on Target Item Analysis, IJCNN, 2014. (Core A-ranked)

28. Alam, S., Dobbie, G., Riddle, P., and Koh, YS., Research on Particle Swarm Optimization Based Clustering: A Systematic Review of Literature and Techniques, Swarm and Evolutionary Computation, 2014.(Impact factor: 4.0)

27. Zhou, W., Junhao, W., Koh, YS., Alam, S., and Dobbie, G., Shilling Attacks Detection in Recommender Systems Based on Target Item Analysis. PLoS ONE 10(7): e0130968. doi:10.1371/journal.pone.0130968

26. Wang, X., Junhao, W., Alam, S., Gao, X., Zhu, J.and Zeng, Jun., Personalized recommendation system based on improved Twin Support Vector Machine, Submitted to Expert Systems with Applications, 2014.

25. Sidney Tsang, Dobbie, G., Koh, YS., and Alam, S., SPAN: Finding Collaborative Frauds in Online Auctions, Knowledge-Based Systems, 2014.(Impact factor: 3.0)

24. Sidney Tsang, Dobbie, G., Koh, YS., and Alam, S., Improving Detection of Shilling Fraud in Online Auctions Using Supervised Learning Methods, Expert Systems with Applications, 2013. (Impact factor: 2.0)

23. Alam, S., Dobbie, G., Koh, YS., and Riddle, P., Web bot detection using Particle Swarm Optimization, IEEE Congress on Evolutionary Computation (IEEE CEC), 2014. (Core A-ranked)

22. Mohammad Abdullatif, Dobbie, G., Koh, YS., and Alam, S., Verb Selection using Semantic Role Labeling for Citation Classification, Computational Scientometrics: Theory and Applications, ACM CIKM 2013.

21. Alam, S., Dobbie, G., Koh, YS., and Riddle, P., Web Usage Ming Based Recommender Systems for Implicit Heterogeneous Data, A Particle Swarm Optimization based clustering approach”, Web Intelligence and Agent Systems, 2014.

20. Rehman, S., K. W. Sowerby, Alam, S., Ardekani, I., Radio frequency fingerprinting and its challenges, IEEE CNS, 2014.

19. Rehman, S., K. W. Sowerby, Alam, S., Ardekani, I., Portability of an RF Fingerprint of a Wireless Transmitter, IEEE CNS, 2014.

18. Rehman, S., Alam, S., and Ardekani, I., Improving Physical Layer Security for Wireless Devices Based on Neural Network, Biologically-Inspired Techniques for KDD, Biologically- Inspired Techniques for Knowledge Discovery and Data Mining, IGI Global, 2013.

17. Alam, S., Dobbie, G., Koh, YS., and Rehman, S., Techniques For Data Mining: A Brief overview Of Particle Swarm Optimization for KDD, Biologically-Inspired Techniques for Knowledge Discovery and Data Mining, IGI Global, 2013.

16. Alam, S., Dobbie, G., and Koh, YS., Biologically-Inspired Techniques for Knowledge Discovery and Data Mining, Edited. Book, IGI Global, 2014.

15. Alam, S., Dobbie, G., Riddle, P., and Koh, YS., Analysis of Hierarchical Particle Swarm Optimization based data clustering techniques, Swarm and Evolutionary Computation, 2013. 

14. Alam, S., Dobbie, G., Riddle, P., and Koh, YS., Clustering Heterogeneous Web Usage Data Using HPSO-Clustering, IEEE-SIS 2013, Singapore, 2013.

13. Alam, S., Dobbie, G., Riddle, P., and Koh, YS., Analysis of Web Usage Data for Clustering Based Recommender System, PAAMS, Salamanca, 2013.

12. Alam, S., Dobbie, G., Riddle, P., and Koh, YS., Hierarchical PSO Clustering Based Recommender System, IEEE CEC 2012, Brisbane, Australia, 2012. (Core A-ranked)

11. Alam, S., Intelligent Web Usage Clustering Based Recommender System, ACM Conference on Recommender Systems, Chicago Illinois, USA, 2011.

10. Alam, S., Dobbie, G., and Riddle, P., Towards Recommender System Using Particle Swarm Optimization Based Web Usage Clustering, PAKDD (BDM 2011), Shenzhen, China.

9. M. Asif Naeem, Dobbie, G., Gerald Weber, and Alam, S., R-MESHJOIN for Near-Real- Time Data Warehousing, DOLAP 2010, Toronto, Canada.

8. Alam, S., Dobbie, G., Riddle, P., and M. Asif Naeem A Swarm Intelligence Based Clustering Approach for Outlier Detection, IEEE CEC 2010, Barcelona, Spain. (Core A-ranked)

7. Alam, S., Dobbie, G., Riddle, P., and M. Asif Naeem, Swarm Intelligence Based Hierarchical Agglomerative Clustering, IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technologies (WI-IAT 2010), September 1-3, 2010, Toronto, Canada.

6. Alam, S., Dobbie, G., Riddle, P., and Koh, YS., Data Mining Based Recommendations for JAVA API Usage, 21st Australian Software Engineering Conference, 6-9 April 2010, Auckland, New Zealand.

5. Alam, S., Dobbie, G. , and Riddle, P., Exploiting the Swarm Behavior of Simple Agents for Clustering Web Users’ Session Data, Data Mining and Multi-Agent Integration, Springer 2009.

4. Alam, S., Amjad Khattak, and Dobbie, G., A Framework for pre-processing and mining association rules from weather data, IAMOT, Dubai, UAE, 2008.

3. Alam, S., Dobbie, G., and Riddle, P., An Evolutionary Particle Swarm Optimization Algorithm For Data Clustering, in proceedings of IEEE International Swarm Intelligence Symposium, Missouri, USA , 2008.

2. Alam, S., Dobbie, G., Riddle, P., Particle Swarm Optimization Based Clustering of Web Usage Data, WI-IAT,pp.451-454, 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, Sydney, Australia, 2008.

1. Alam, S., Dobbie, G., and Riddle, P., Evolutionary particle swarm clustering based outlier detection, In IEEE International Swarm Intelligence Symposium, Missouri, USA , 2008.