| Fuzzy weighted association rule mining with weighted support and confidence framework M Muyeba, MS Khan, F Coenen Pacific-Asia Conference on Knowledge Discovery and Data Mining, 49-61, 2008 | 58 | 2008 |
| 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 | 48 | 2008 |
| Weighted association rule mining from binary and fuzzy data MS Khan, M Muyeba, F Coenen Industrial Conference on Data Mining, 200-212, 2008 | 40 | 2008 |
| Business information query expansion through semantic network Z Gong, M Muyeba, J Guo Enterprise Information Systems 4 (1), 1-22, 2010 | 39 | 2010 |
| A method for web information extraction MI Lam, Z Gong, M Muyeba Asia-Pacific Web Conference, 383-394, 2008 | 22 | 2008 |
| 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, 601-609, 2014 | 21 | 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 | 21 | 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 | 21 | 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 | 15 | 2010 |
| A framework to mine high-level emerging patterns by attribute-oriented induction MK Muyeba, MS Khan, S Warnars, J Keane International Conference on Intelligent Data Engineering and Automated …, 2011 | 13 | 2011 |
| 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 | 12 | 2011 |
| An effective fuzzy healthy association rule mining algorithm (FHARM) MS Khan, M Muyeba, C Tjortjis, F Coenen databases 4 (5), 14, 2006 | 12 | 2006 |
| Extending attribute-oriented induction as a key-preserving data mining method MK Muyeba, JA Keane European Conference on Principles of Data Mining and Knowledge Discovery …, 1999 | 12 | 1999 |
| Huri–a novel algorithm for mining high utility rare itemsets J Pillai, OP Vyas, M Muyeba Advances in Computing and Information Technology, 531-540, 2013 | 11 | 2013 |
| Towards healthy association rule mining (HARM): a fuzzy quantitative approach M Muyeba, MS Khan, Z Malik, C Tjortjis International Conference on Intelligent Data Engineering and Automated …, 2006 | 9 | 2006 |
| Mining fuzzy association rules from composite items MS Khan, M Muyeba, F Coenen IFIP International Conference on Artificial Intelligence in Theory and …, 2008 | 8 | 2008 |
| 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 | 7 | 2014 |
| A framework for mining fuzzy association rules from composite items M Muyeba, MS Khan, F Coenen Pacific-Asia Conference on Knowledge Discovery and Data Mining, 62-74, 2008 | 7 | 2008 |
| On Extraction of Nutritional Patterns (NPS) Using Fuzzy Association Rule Mining. MS Khan, MK Muyeba, F Coenen HEALTHINF (1), 34-42, 2008 | 7 | 2008 |
| A framework for Post-Rule Mining of Distributed Rules Bases M Muyeba, R Marnadapali Proceeding of Intelligent Systems and Control, 2005 | 7 | 2005 |
Frans CoenenProfessor in Computer Science, University of Liverpool, Data Mining and Machine Learning GroupBestätigte E-Mail-Adresse bei liverpool.ac.uk
