Dr Maybin K. Muyeba
Dr Maybin K. Muyeba
Senior Data Scientist
No hay ninguna dirección de correo electrónico verificada. - Página principal
Citado por
Citado por
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
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
Weighted association rule mining from binary and fuzzy data
MS Khan, M Muyeba, F Coenen
Industrial Conference on Data Mining, 200-212, 2008
Business information query expansion through semantic network
Z Gong, M Muyeba, J Guo
Enterprise Information Systems 4 (1), 1-22, 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, 601-609, 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
Threat modeling revisited: Improving expressiveness of attack
DP Mirembe, M Muyeba
2008 Second UKSIM European Symposium on Computer Modeling and Simulation, 93-98, 2008
A method for web information extraction
MI Lam, Z Gong, M Muyeba
Asia-Pacific Web Conference, 383-394, 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
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
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
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
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
An effective fuzzy healthy association rule mining algorithm (FHARM)
MS Khan, M Muyeba, C Tjortjis, F Coenen
databases 4 (5), 14, 2007
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
A framework for Post-Rule Mining of Distributed Rules Bases
M Muyeba, R Marnadapali
Proceeding of Intelligent Systems and Control, 2005
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
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
A hybrid heuristic approach for attribute-oriented mining
MK Muyeba, K Crockett, W Wang, JA Keane
Decision support systems 57, 139-149, 2014
Mining Fuzzy Association Rules from Composite Items
MS Khan, M Muyeba, F Coenen
IFIP International Conference on Artificial Intelligence in Theory and …, 2008
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20