Browsing by Subject "Data mining"
Now showing items 1-10 of 16
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An analytical framework for monitoring and optimizing bank branch network efficiency
(North-West University, 2009)Financial institutions make use of a variety of delivery channels for servicing their customers. The primary channel utilised as a means of acquiring new customers and increasing market share is through the retail branch ... -
Automated construction of generalized additive neural networks for predictive data mining
(North-West University, 2006)In this thesis Generalized Additive Neural Networks (GANNs) are studied in the context of predictive Data Mining. A GANN is a novel neural network implementation of a Generalized Additive Model. Originally GANNs were ... -
Comparing generalised additive neural networks with decision trees and alternating conditional expectations
(North-West University, 2008)In this dissertation generalised additive neural networks (GANNs), decision trees and alternating conditional expectations (ACE) are studied and compared as computerised techniques in the field of predictive data mining. ... -
A customisable data analysis interface for an online electrical energy information system
(2014)In South Africa the main electricity supplier “Eskom” is struggling to meet the increasing demand. To lower the problematic electricity demand, demand side management projects are implemented by large electricity consumers. ... -
Data mining: a technique used to extract information from tan delta measurements on medium voltage induction motors
(IEEE, 2007)The study attempted to understand the condition of the insulation system and to classify the data according to its condition. Data mining processes were used to gain insight into the data and the condition of the insulation ... -
Development of a model for road transport fuel management
(SAIIE, 2016)Road transport is responsible for 76% of cargo movement in South Africa; at the same time transport cost in Sub-Sahara Africa forms a much higher fraction of the total cost of landed goods compared to the rest of the world. ... -
An empirical investigation of alternative semi-supervised segmentation methodologies
(ASSAf, 2019)Segmentation of data for the purpose of enhancing predictive modelling is a well-established practice in the banking industry. Unsupervised and supervised approaches are the two main types of segmentation and examples of ... -
Extracting the ground level enhancement event of February 1956 from Legacy cosmic ray recordings
(IEEE, 2018)Early continuous recordings of cosmic rays, as measured with Carnegie Type C Ionization Chambers, were made on rolls of photographic paper. This paper describes the extraction of the ionization data of a ground level ... -
Implementation and analysis of improved apriori algorithm in data mining
(North-West University (South Africa), 2018)"Abstract not copied" -
A multi-wavelength study of a sample of galaxy clusters
(North-West University, 2012)In this dissertation we aim to perform a multi-wavelength analysis of galaxy clusters. We discuss various methods for clustering in order to determine physical parameters of galaxy clusters required for this type of study. ...
