Maybin K. Muyeba

According to our database, Maybin K. Muyeba authored at least 32 papers between 1999 and 2017.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2017

A Hybrid Approach using Ontology Similarity and Fuzzy Logic for Semantic Question Answering.

Monika Rani, Maybin K. Muyeba, O. P. Vyas

CoRR, 2017

2014

A hybrid heuristic approach for attribute-oriented mining.

Maybin K. Muyeba, Keeley A. Crockett, Wenjia Wang, John A. Keane

Decis. Support Syst., 2014

Knowledge Representation in Agent's Logic with Uncertainty and Agent's Interaction.

Maybin K. Muyeba, Vladimir V. Rybakov

CoRR, 2014

An energy efficient and resource preserving target tracking approach for wireless sensor networks.

Muhammad Jasim Saeed, Liangxiu Han, Maybin K. Muyeba

Proceedings of the 9th International Symposium on Communication Systems, 2014

2013

Understanding Low Back Pain Using Fuzzy Association Rule Mining.

Maybin K. Muyeba, Sandra Lewis, Liangxiu Han, John A. Keane

Proceedings of the IEEE International Conference on Systems, 2013

Fuzzy classification in web usage mining using fuzzy quantifiers.

Maybin K. Muyeba, Liangxiu Han

Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

Classifying Mass Spectral Data Using SVM and Wavelet-Based Feature Extraction.

Wong Liyen, Maybin K. Muyeba, John A. Keane, Zhiguo Gong, Valerie Edwards-Jones

Proceedings of the Active Media Technology - 9th International Conference, 2013

2012

HURI - A Novel Algorithm for Mining High Utility Rare Itemsets.

Jyothi Pillai, O. P. Vyas, Maybin K. Muyeba

Proceedings of the Advances in Computing and Information Technology - Proceedings of the Second International Conference on Advances in Computing and Information Technology (ACITY) July 13-15, 2012, Chennai, India, 2012

2011

Finding Associations in Composite Data Sets: The CFARM Algorithm.

M. Sulaiman Khan, Maybin K. Muyeba, Frans Coenen, David C. Reid, Hissam Tawfik

Int. J. Data Warehous. Min., 2011

A Hybrid Interestingness Heuristic Approach for Attribute-Oriented Mining.

Maybin K. Muyeba, Keeley A. Crockett, John A. Keane

Proceedings of the Agent and Multi-Agent Systems: Technologies and Applications, 2011

A Framework to Mine High-Level Emerging Patterns by Attribute-Oriented Induction.

Maybin K. Muyeba, Muhammad S. Khan, Spits Warnars, John A. Keane

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2011, 2011

2010

Business information query expansion through semantic network.

Zhiguo Gong, Maybin K. Muyeba, Jingzhi Guo

Enterp. Inf. Syst., 2010

2009

An algorithm to mine general association rules from tabular data.

Siyamand Ayubi, Maybin K. Muyeba, Ahmad Baraani-Dastjerdi, John A. Keane

Inf. Sci., 2009

2008

A Framework for Mining Fuzzy Association Rules from Composite Items.

Maybin K. Muyeba, M. Sulaiman Khan, Frans Coenen

Proceedings of the New Frontiers in Applied Data Mining, 2008

Fuzzy Weighted Association Rule Mining with Weighted Support and Confidence Framework.

Maybin K. Muyeba, M. Sulaiman Khan, Frans Coenen

Proceedings of the New Frontiers in Applied Data Mining, 2008

Weighted Association Rule Mining from Binary and Fuzzy Data.

M. Sulaiman Khan, Maybin K. Muyeba, Frans Coenen

Proceedings of the Advances in Data Mining. Medical Applications, 2008

Mining Fuzzy Association Rules from Composite Items.

M. Sulaiman Khan, Maybin K. Muyeba, Frans Coenen

Proceedings of the Artificial Intelligence in Theory and Practice II, 2008

Fuzzification of Spiked Neural Networks.

David C. Reid, Maybin K. Muyeba

Proceedings of the EMS 2008, 2008

Threat Modeling Revisited: Improving Expressiveness of Attack.

Drake Patrick Mirembe, Maybin K. Muyeba

Proceedings of the EMS 2008, 2008

A Weighted Utility Framework for Mining Association Rules.

M. Sulaiman Khan, Maybin K. Muyeba, Frans Coenen

Proceedings of the EMS 2008, 2008

On Extraction of Nutritional Patterns (NPS) Using Fuzzy Association Rule Mining.

M. Sulaiman Khan, Maybin K. Muyeba, Frans Coenen

Proceedings of the First International Conference on Health Informatics, 2008

A Method for Web Information Extraction.

Man I. Lam, Zhiguo Gong, Maybin K. Muyeba

Proceedings of the Progress in WWW Research and Development, 2008

2007

A Novelty Detection Method Based on Frequent Itemsets.

Siyamand Ayubi, Ahmad Baraani-Dastjerdi, Amir Hassan Monadjemi, Maybin K. Muyeba

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2007

An Efficient Classifier Using Decision Trees and Association Rules.

Siyamand Ayubi, Ahmad Baraani-Dastjerdi, Maybin K. Muyeba

Proceedings of the Advances in Data Mining. 7th Industrial Conference, 2007

An Algorithm to Mine General Association Rules from Tabular Data.

Siyamand Ayubi, Maybin K. Muyeba, John A. Keane

Proceedings of the Intelligent Data Engineering and Automated Learning, 2007

2006

On Clustering Attribute-oriented Induction.

Maybin K. Muyeba, M. Sulaiman Khan, Zhiguo Gong

Proceedings of the Research and Development in Intelligent Systems XXIII, 2006

Towards Healthy Association Rule Mining (HARM): A Fuzzy Quantitative Approach.

Maybin K. Muyeba, M. Sulaiman Khan, Zarrar Malik, Christos Tjortjis

Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

Query Coordination for Distributed Data Sharing in P2P Networks.

Maybin K. Muyeba, M. Sulaiman Khan

Proceedings of the Databases, 2006

2000

Interestingness in Attribute-Oriented Induction (AOI): Multiple-Level Rule Generation.

Maybin K. Muyeba, John A. Keane

Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000

A Concurrent Approach to the Key-Preserving Attribute-Oriented Induction Method.

Maybin K. Muyeba, John A. Keane

Proceedings of the Knowledge Discovery and Data Mining, 2000

Distributed data mining: an attribute-oriented key-preserving method.

Maybin K. Muyeba, John A. Keane

Proceedings of the Data Mining and Knowledge Discovery: Theory, 2000

1999

Extending Attribute-Oriented Induction as a Key-Preserving Data Mining Method.

Maybin K. Muyeba, John A. Keane

Proceedings of the Principles of Data Mining and Knowledge Discovery, 1999