Patricia E. N. Lutu

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Data mining has become a commonly used method for the analysis of organisational data, for purposes of summarizing data in useful ways and identifying non-trivial patterns and relationships in the data. Given the large volumes of data that are collected by business, government, non-government and scientific research organizations, a major challenge for data(More)
One-Versus-All (OVA) classification is a classifier construction method where a k-class prediction task is decomposed into k 2-class sub-problems. One base model is constructed for each sub-problem and the base models are then combined into one model. Aggregate model implementation is the process of constructing several base models which are then combined(More)
Sampling of large datasets for data mining is important for at least two reasons. The processing of large amounts of data results in increased computational complexity. The cost of this additional complexity may not be justifiable. On the other hand, the use of small samples results in fast and efficient computation for data mining algorithms. Statistical(More)
Data stream mining is the process of applying data mining methods to a data stream in real-time in order to create descriptive or predictive models. Due to the dynamic nature of data streams, new classes may emerge as a data stream evolves, and the concept being modelled may change with time. This gives rise to the need to continuously make revisions to the(More)
Data stream mining is the process of applying data mining methods to a data stream in real-time in order to create descriptive or predictive models. Due to the dynamic nature of data streams, new classes may emerge as a data stream evolves, and the concept being modeled may change with time. This gives rise to the need to continuously make revisions to the(More)
Classification modeling is commonly used for predictive data mining to create models (classifiers) that can predict the values of qualitative variables. Ensemble classification is concerned with the creation of many base classifiers which are then combined into one predictive classification model. Positive-versus-negative (pVn) classification has recently(More)
Social media technologies and services have empowered individuals and organisations by revolutionalising the way people communicate, socialise and conduct business. Two examples of social media services are Facebook and Twitter. Many organisations have been quick to realise the potential benefits of social media and have adopted social media marketing(More)