Comp527 - Data Mining

Department of Computer Science
University of Liverpool
Liverpool, L69 3BX
United Kingdom

Email: mskhan@liv.ac.uk
Phone: -

Worked on HEIF-II (funded £9000) project in 2006 with Dr. Maybin Muyeba at Liverpool Hope University:

PROJECT: Health Association Rule Mining (HARM project 2006), £9,000 UK Sterling

My main areas of research interest include, but not limited to the following:

• Data Engineering
• Performance of Data Mining Algorithms
• Intelligent Information Retrieval
• Fuzzy Logic (as applied to Data Mining)
• Persvasive Computing (Peer to peer systems)

• M. Sulaiman Khan, Muyeba, M and Coenen, F. 2008. "A Weighted utility Framework for Mining Association Rules", to appear in 2nd UKSim european Symposium on Computer Modelling and Simulation (EMS2008), Liverpool, UK.
• M. Sulaiman Khan, Muyeba, M and Coenen, F. 2008. "Weighted Association Rule Mining from Binary and Fuzzy Data", to appear in 8th Industrial Conference on Data Mining (ICDM08), LeipZig, Germany.
• M. Sulaiman Khan, Muyeba, M and Coenen, F. 2008. "Mining Fuzzy Association Rules from Composite Items", to appear in IFIP International Conference on Artificial Intelligence (IFIP-AI 2008), Milano, Italy.
• M. Sulaiman Khan, Muyeba, M and Coenen, F. 2008. "Fuzzy Weighted Association Rule Mining with Weighted Support and Confidence Framework", to appear in Algorithms for Large-Scale Information Processing in Knowledge Discovery (ALSIP 2008), Osaka, Japan.
• M. Sulaiman Khan, Muyeba, M and Coenen, F. 2008. “A Framework for Mining Fuzzy Association Rules from Composite Items”, to appear in Algorithms for Large-Scale Information Processing in Knowledge Discovery (ALSIP 2008), Osaka, Japan.
• Khan, M. S.; Muyeba, M and Coenen, F. 2007.“On Extraction of Nutritional Patterns (NPS) Using Fuzzy Association Rule Mining”, To appear in Proceedings of International Conference on Health Informatics (HEALTHINFO 2008),Madeira, Portugal, IEEE/EMB Sponsored,Indexed by DBLP, INSPEC, ISI
• Khan, M. S.; Muyeba, M and Tjortjis, C. and Coenen, F. 2007.“An Effective Fuzzy Healthy Association Rule Mining Algorithm (FHARM)”, To appear in UKCI 2007, the 7th Annual Workshop on Computational Intelligence (FUZZ-IEEE co-located), London, UK
• Muyeba, M; Khan, M. S.; Malik, Z. and Tjortjis, C. 2006.“Towards Healthy Association Rule Mining (HARM): A Fuzzy Quantitative Approach”, Lecture Notes in Computer Science (LNCS), Springer, IDEAL, Volume 4224, pp 1014-1022.
• Khan, M. S.; Muyeba, M. 2006.“Query Coordination for Distributed Data Sharing in P2P Networks”, Lecture Notes in Computer Science(LNCS), Springer, VLDB 2006 (DBISP2P), Volume 4125, pp. 376-384.
• Muyeba, M; Khan, M. S. and Gong, Z. 2006.“On Clustering Attribute-Oriented Induction”, Research and Development in Intelligent Systems XXIII 2006, Springer-Verlag, Bramer, M.; et al (Eds.), pp 403-407