Machine learning algorithms hold extraordinary promise, but the reality is that their success
depends entirely on the suitability of the data available. This book is about Ripple-Down …

Various expert system development approaches were proposed but most of them cannot
deal with two problems: the difficulty of analysis and maintenance. Rather than to spend time …

Increasingly, researchers and developers of knowledge based systems (KBS) have been
attempting to incorporate the notion of context. For instance, Repertory Grids, Formal …

Prudence analysis (PA) is a relatively new, practical and highly innovative approach to
solving the problem of brittleness in knowledge based system (KBS) development. PA is …

t is necessary to provide a method to store Web information effectively so it can be utilised as
a future knowledge resource. A commonly adopted approach is to classify the retrieved …

Abstract The MCRDR (Multiple Classification Ripple-Down Rules) Classifier was developed
to classify documents incrementally. A knowledge base of MCRDR-Classifier consists of two …

In general, document classification research focuses on the automated placement of unseen
documents into pre-defined categories. This is regarded as one core technical component of …

Traditional Knowledge base systems (KBS) are typically constrained by their ability to
acquire new knowledge without the intercession of a technical knowledge engineer. Even …

Abstract The World Wide Web (Web) was not designed to 'push'information to clients but for
clients to 'pull'information from servers (providers). This type of technology is not efficient in …

Abstract The Ripple Down Rules (RDR) approach was developed by Compton and Jansen
(Compton and Jansen 1989; Compton and Jansen 1992) to effectively remove the …