A Comparative study of sample selection methods for classification. - Patricia E. N. Lutu; Andries P. Engelbrecht (ARIMA J., 2007)

Database Sampling for Data Mining. - Patricia E. N. Lutu (Encyclopedia of Data Warehousing and Mining, 2009)

A decision rule-based method for feature selection in predictive data mining. - Patricia E. N. Lutu; Andries P. Engelbrecht (Expert Syst. Appl., 2010)

Using Confusion Matrices and Confusion Graphs to Design Ensemble Classification Models from Large Datasets. - Patricia E. N. Lutu (DaWaK, 2011)

Empirical comparison of four classifier fusion strategies for positive-versus-negative ensembles. - Patricia E. N. Lutu (SAICSIT, 2011)

Improving Data Quality in the Banking Supervisory Data of Southern Africa Central Banks. - Refiloe Motjolopane; Patricia E. N. Lutu (Electron. J. Inf. Syst. Dev. Ctries., 2012)

Using OVA modeling to improve classification performance for large datasets. - Patricia E. N. Lutu; Andries P. Engelbrecht (Expert Syst. Appl., 2012)

Base Model Combination Algorithm for Resolving Tied Predictions for K-Nearest Neighbor OVA Ensemble Models. - Patricia E. N. Lutu; Andries P. Engelbrecht (INFORMS J. Comput., 2013)

Positive-versus-Negative Classification for Model Aggregation in Predictive Data Mining. - Patricia E. N. Lutu; Andries P. Engelbrecht (INFORMS J. Comput., 2013)

Naïve Bayes Classification Ensembles to Support Modeling Decisions in Data Stream Mining. - Patricia E. N. Lutu (SSCI, 2015)

Data analytics to support social media marketing: challenges and opportunities. - Patricia E. N. Lutu (CONF-IRM, 2016)