| Fuzzy weighted association rule mining with weighted support and confidence framework M Muyeba, MS Khan, F Coenen New Frontiers in Applied Data Mining: PAKDD 2008 International Workshops …, 2009 | 68 | 2009 |
| A weighted utility framework for mining association rules MS Khan, M Muyeba, F Coenen 2008 Second UKSIM European Symposium on Computer Modeling and Simulation, 87-92, 2008 | 59 | 2008 |
| Weighted association rule mining from binary and fuzzy data MS Khan, M Muyeba, F Coenen Advances in Data Mining. Medical Applications, E-Commerce, Marketing, and …, 2008 | 46 | 2008 |
| Business information query expansion through semantic network Z Gong, M Muyeba, J Guo Enterprise Information Systems 4 (1), 1-22, 2010 | 42 | 2010 |
| A hybrid approach using ontology similarity and fuzzy logic for semantic question answering M Rani, MK Muyeba, OP Vyas Advanced Computing, Networking and Informatics-Volume 1: Advanced Computing …, 2014 | 32 | 2014 |
| An algorithm to mine general association rules from tabular data S Ayubi, MK Muyeba, A Baraani, J Keane Information Sciences 179 (20), 3520-3539, 2009 | 27 | 2009 |
| Threat modeling revisited: Improving expressiveness of attack DP Mirembe, M Muyeba 2008 Second UKSIM European Symposium on Computer Modeling and Simulation, 93-98, 2008 | 27 | 2008 |
| A method for web information extraction MI Lam, Z Gong, M Muyeba Progress in WWW Research and Development: 10th Asia-Pacific Web Conference …, 2008 | 22 | 2008 |
| A conceptual approach to temporal weighted itemset utility mining J Pillai, OP Vyas, S Soni, M Muyeba International Journal of Computer Applications 28, 0887-0895, 2010 | 18 | 2010 |
| Huri–a novel algorithm for mining high utility rare itemsets J Pillai, OP Vyas, M Muyeba Advances in Computing and Information Technology: Proceedings of the Second …, 2013 | 16 | 2013 |
| A framework to mine high-level emerging patterns by attribute-oriented induction MK Muyeba, MS Khan, S Warnars, J Keane Intelligent Data Engineering and Automated Learning-IDEAL 2011: 12th …, 2011 | 14 | 2011 |
| A framework for mining fuzzy association rules from composite items M Muyeba, MS Khan, F Coenen New Frontiers in Applied Data Mining: PAKDD 2008 International Workshops …, 2009 | 14 | 2009 |
| Finding associations in composite data sets: the CFARM algorithm MS Khan, M Muyeba, F Coenen, D Reid, H Tawfik International Journal of Data Warehousing and Mining (IJDWM) 7 (3), 1-29, 2011 | 13 | 2011 |
| An effective fuzzy healthy association rule mining algorithm (FHARM) MS Khan, M Muyeba, C Tjortjis, F Coenen databases 4 (5), 14, 2007 | 13 | 2007 |
| Extending attribute-oriented induction as a key-preserving data mining method MK Muyeba, JA Keane Principles of Data Mining and Knowledge Discovery: Third European Conference …, 1999 | 10 | 1999 |
| A hybrid heuristic approach for attribute-oriented mining MK Muyeba, K Crockett, W Wang, JA Keane Decision support systems 57, 139-149, 2014 | 9 | 2014 |
| Towards healthy association rule mining (HARM): A fuzzy quantitative approach M Muyeba, MS Khan, Z Malik, C Tjortjis Intelligent Data Engineering and Automated Learning–IDEAL 2006: 7th …, 2006 | 9 | 2006 |
| A framework for Post-Rule Mining of Distributed Rules Bases M Muyeba, R Marnadapali Proceeding of Intelligent Systems and Control, 2005 | 9 | 2005 |
| A Fuzzy Algorithm for Mining High Utility Rare Itemsets-FHURI J Pillai, OP Vyas, MK Muyeba International Journal on Recent Trends in Engineering & Technology 10 (1), 1, 2014 | 8 | 2014 |
| A hybrid interestingness heuristic approach for attribute-oriented mining M Muyeba, K Crockett, J Keane Agent and Multi-Agent Systems: Technologies and Applications: 5th KES …, 2011 | 8 | 2011 |
Frans CoenenProfessor in Computer Science, University of Liverpool, Data Mining and Machine Learning Groupliverpool.ac.uk üzerinde doğrulanmış e-posta adresine sahip
