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 ...
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, ...
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 ...
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 ...
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 ...
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 ...
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. ...
Expert systems apply Artificial Intelligence (AI) techniques to an application area, aiming (usually) to mimic the behaviour of a human expert. However, there are some AI techniques which can be used to improve the internal ...
Artificial neural networks (ANNs) have been proven to be successful general machine
learning techniques for, amongst others, pattern recognition and classification. Realworld
problems in agriculture (soybean, tea), ...
Rekenaars kan ’n nuttige rol speel in vertaling. Twee benaderings
is vertaalgeheuestelsels en masjienvertaalstelsels. By
hierdie twee tegnologieë word ’n vertaalgeheue gebruik—’n
tweetalige versameling vorige vertalings. ...
Software quality ensures that applications that are developed are failure free. Some modern systems are intricate, due to the complexity of their information processes. Software fault prediction is an important quality ...
Paijmans, H(South African Computer Society (SAICSIT), 1998)
A number of methods for feature reduction and feature selection in text classification and information retrieval systems are compared. These include feature sets that are constructed by Latent Semantic Indexing, 'local ...