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 …

It is well known that classification models produced by the Ripple Down Rules are easier to
maintain and update. They are compact and can provide an explanation of their reasoning …

The threat posed by cybercrime to individuals, banks and other online financial service
providers is real and serious. Through phishing, unsuspecting victims' Internet banking …

Most commercial Fraud Detection components of Internet banking systems use some kind of
hybrid setup usually comprising a Rule-Base and an Artificial Neural Network. Such rule …

As knowledge bases become more complex it is increasingly unlikely that they will have
been validated against all possible data and therefore an increasing risk of making errors …

Semi-supervised learning requires some data to be labeled but then uses this in conjunction
with a large amount of unlabeled data to learn a model for a domain. Since the labeled data …

The focus of this work is to adaptively optimize continuous queries in a wireless sensor
network. Therefore, we analyze and categorize the different types of queries used by …