The ascent of the current industrial revolution known as Industry 4.0 (I40) or smart
manufacturing is considerably impacting the manufacturing sector with the utilization of more
intelligent and advanced practices such ...
Cloete, I; Theron, H(South African Institute of Computer Scientists and Information Technologists, 1991)
Quinlan's ID3 is a popular and efficient algorithm for inducing decision trees from concept examples, where the examples are presented as vectors of attribute-value pairs. If some attributes have integer or real domains ...
Maize (zea mays) is the staple food of Southern Africa and most of the African regions. This staple food has
been threatened by a lot of diseases in terms of its yield and existence. Within this domain, it is important ...
Nowadays human activities produce massive amounts of data everyday. It is estimated that 2.5
quintillions bytes of data are produced daily. The ability to analyse and interpret such data, usually
referred to as ‘big ...
This research study focuses on the application models of Data Mining and Machine Learning covering cellular network traffic, in the objective to arm Mobile Network Operators with full view of performance branches (Services, ...
For research in speech processing and analysis of audio content in general, extensive data sets are
required. Creating such a dataset manually turns out to be time and labour consuming, but it is a
task very suitable ...
Differential Evolution is an optimization technique of stochastic search for a population-based vector, which is powerful and efficient over a continuous space for solving differentiable and non-linear optimization problems. ...
Paijmans, H(South African Computer Society (SAICSIT), 1999)
This paper describes some experiments with the automated attribution of authorship. Lexical cohesion in combination with machine learning techniques are used as a method to compare texts of different authors. A methodology ...
Deep learning has successfully been applied in computer vision, including in image classification,
object recognition and detection, and in image segmentation in applications
such as remote sensing, scene understanding, ...
Brand loyalty is seen as a repeat purchase and also the ability to recommend services or products. Telecommunication service providers require loyal customers to stay in business.
The current thesis examines the impact ...
Recently, there have been various attempts to combine the strengths of
similarity-based learning (SBL) and explanation-based learning (EBL) in a single learning system.
We describe a graph-based learning method called ...
Oosthuizen, GD; Avenant, C(South African Institute of Computer Scientists and Information Technologists, 1992)
Recently, there have been various attempts to combine the strengths of similarity-based learning (SBL) and explanation-based learning (EBL) in a single learning system. We describe a graph-based learning method called ...
The recent advances of e-commerce and e-payment systems have sparked an increase in financial fraud cases such as credit card fraud. It is therefore crucial to implement mechanisms that can detect the credit card fraud. ...
As developing nations like South Africa chart a path of socio-economic
development, the spatialisation of progress, opportunity, and neglect is a critical antecedent to policy-making and regional interventionism. Efforts ...
The transport industry is one of the biggest contributors to air pollution, with the major air pollutants being COx, NOx, and SOx. SOx is produced by the combustion of the organic sulphur compound found in fuels, e.g. ...
Multi-channel messaging (MCM) systems have been implemented to integrate heterogeneous
messaging channels for message delivery to Financial Services Institutions (FSIs) customers
worldwide. However, implementations ...
The study of MicroRNAs (miRNAs), long non-coding RNAs (lncRNAs) and gene interactions may be expected to provide new technologies to serve as valuable biomarkers for personalized treatments of diseases and to aid in the ...
Data mining is the process of extracting informative patterns from data stored in a database or data warehouse. Decision tree induction algorithms, from the area of machine learning are well suited for building classification ...
Policy lapse is a vital component in life insurance as it affects future pricing and impacts the solvency of the life insurer. Accurate prediction of lapse will help the insurers to implement personalised retention strategies ...
The telecommunication market is growing at a very fast pace with the evolution of new technologies to support high speed throughput and the availability of a wide range of services and applications in the mobile networks. ...