Since the dawn of agriculture, farmers have been at the stake of dealing with pests and
diseases. Chemical pesticides are a reliable source of controlling pests and pathogens, but …

Abstract Automatic Identification System (AIS) offers a wealth of vessel navigation data,
which underpins research in maritime data mining, situational awareness, and knowledge …

The induction of decision trees is a widely-used approach to build classification models that
guarantee high performance and expressiveness. Since a recursive-partitioning strategy …

The diagnosis of Parkinson's disease (PD) is important in neurological pathology for
appropriate medical therapy. Algorithms based on decision tree induction (DTI) have been …

Obtaining comprehensible classification rules may be extremely important in many real
applications such as data-driven decision-making and classification tasks. Decision-tree …

Since machine and deep learning have made accurate solutions possible, the search for
explainable predictors has begun. Decision trees are competitive in tasks that require …

Abstract While nowadays Machine Learning (ML) algorithms have achieved impressive
prediction accuracy in various fields, their ability to provide an explanation for the output …

The availability of large amounts of data in combination with Big Data analytics has
transformed many application domains. In this paper, we provide insights into how the area …

The decision tree is a widely used decision support model, which can quickly mine effective
decision rules based on the dataset. The decision tree induction algorithm for continuous …

Decision trees (DTs) are a type of machine learning technique used for classification and
regression problems. They are considered to be a part of explainable artificial intelligence …