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Dr Maybin K. Muyeba
Dr Maybin K. Muyeba
Lead Data Scientist
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Title
Cited by
Cited by
Year
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
672009
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
592008
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
452008
Business information query expansion through semantic network
Z Gong, M Muyeba, J Guo
Enterprise Information Systems 4 (1), 1-22, 2010
422010
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
322014
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
272009
Threat modeling revisited: Improving expressiveness of attack
DP Mirembe, M Muyeba
2008 Second UKSIM European Symposium on Computer Modeling and Simulation, 93-98, 2008
262008
A method for web information extraction
MI Lam, Z Gong, M Muyeba
Progress in WWW Research and Development: 10th Asia-Pacific Web Conference …, 2008
222008
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
182010
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
162013
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
142011
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
142009
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
132011
An effective fuzzy healthy association rule mining algorithm (FHARM)
MS Khan, M Muyeba, C Tjortjis, F Coenen
databases 4 (5), 14, 2007
132007
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
101999
A hybrid heuristic approach for attribute-oriented mining
MK Muyeba, K Crockett, W Wang, JA Keane
Decision support systems 57, 139-149, 2014
92014
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
92006
A framework for Post-Rule Mining of Distributed Rules Bases
M Muyeba, R Marnadapali
Proceeding of Intelligent Systems and Control, 2005
92005
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
82014
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
82011
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Articles 1–20