In the last few years, Artificial Intelligence (AI) has achieved a notable momentum that, if
harnessed appropriately, may deliver the best of expectations over many application sectors …

In recent years, many accurate decision support systems have been constructed as black
boxes, that is as systems that hide their internal logic to the user. This lack of explanation …

The flooding in Bangladesh during monsoon season is very common and frequently
happens. Consequently, people have been experiencing tremendous damage to properties …

With the growing adoption of machine learning techniques, there is a surge of research
interest towards making machine learning systems more transparent and interpretable …

Decision forests are considered the best practice in many machine learning challenges,
mainly due to their superior predictive performance. However, simple models like decision …

Storing and using specific instances improves the performance of several supervised
learning algorithms. These include algorithms that learn decision trees, classification rules …

Data mining is the discovery of interesting, unexpected or valuable structures in large
datasets. As such, it has two rather different aspects. One of these concerns large …

Rules–the clearest, most explored and best understood form of knowledge representation–
are particularly important for data mining, as they offer the best tradeoff between human and …

This article reports an empirical investigation of the accuracy of rules that classify examples
on the basis of a single attribute. On most datasets studied, the best of these very simple …

Abstract Systems for inducing concept descriptions from examples are valuable tools for
assisting in the task of knowledge acquisition for expert systems. This paper presents a …