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ORCIDPatricia E. N. Lutu
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2010 – 2019
- 2016
[c4]Patricia E. N. Lutu:
Data analytics to support social media marketing: challenges and opportunities. CONF-IRM 2016: 54- 2015
- [c3]Patricia E. N. Lutu:
Naïve Bayes Classification Ensembles to Support Modeling Decisions in Data Stream Mining. SSCI 2015: 335-340 - 2013
- [j7]Patricia E. N. Lutu, Andries P. Engelbrecht
:
Base Model Combination Algorithm for Resolving Tied Predictions for K-Nearest Neighbor OVA Ensemble Models. INFORMS J. Comput. 25(3): 517-526 (2013) - [j6]Patricia E. N. Lutu, Andries P. Engelbrecht:
Positive-versus-Negative Classification for Model Aggregation in Predictive Data Mining. INFORMS J. Comput. 25(4): 792-807 (2013) - 2012
- [j5]Refiloe Motjolopane, Patricia E. N. Lutu:
Improving Data Quality in the Banking Supervisory Data of Southern Africa Central Banks. Electron. J. Inf. Syst. Dev. Ctries. 50(1): 1-22 (2012) - [j4]Patricia E. N. Lutu, Andries P. Engelbrecht:
Using OVA modeling to improve classification performance for large datasets. Expert Syst. Appl. 39(4): 4358-4376 (2012) - 2011
- [c2]Patricia E. N. Lutu:
Using Confusion Matrices and Confusion Graphs to Design Ensemble Classification Models from Large Datasets. DaWaK 2011: 301-315 - [c1]Patricia E. N. Lutu:
Empirical comparison of four classifier fusion strategies for positive-versus-negative ensembles. SAICSIT 2011: 302-305 - 2010
- [j3]Patricia E. N. Lutu, Andries P. Engelbrecht:
A decision rule-based method for feature selection in predictive data mining. Expert Syst. Appl. 37(1): 602-609 (2010)
2000 – 2009
- 2009
- [r1]Patricia E. N. Lutu:
Database Sampling for Data Mining. Encyclopedia of Data Warehousing and Mining 2009: 604-609 - 2007
- [j2]Patricia E. N. Lutu, Andries P. Engelbrecht:
A Comparative study of sample selection methods for classification. ARIMA J. 6: 6 (2007) - 2006
- [j1]Patricia E. N. Lutu, Andries P. Engelbrecht:
A comparative study of sample selection methods for classification. South Afr. Comput. J. 36: 69-85 (2006)
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