Decision trees have become one of the most powerful and popular approaches in knowledge discovery and data mining; it is the science of exploring large and complex bodies of data in order to discover ...

This is the first comprehensive book dedicated entirely to the field of decision trees in data mining and covers all aspects of this important technique. Decision trees have become one of the most ...

Abstract: This paper focuses on continuous attributes handling for mining data stream with ... presented a one-pass algorithm. Their system VFDT use Hoeffding inequality to achieve a probabilistic ...

Antimicrobial-resistant (AMR) “superbugs” contribute to more than 4.5 million deaths globally per year and threaten to make ...

Hospital-level aggregate survey data from the UK hospital is used to identify what drives the number of reported incidents affecting patient safety. Leveraging a decision tree algorithm, our results ...

Decision tree algorithms have been successfully applied to various agricultural contexts, such as classifying raisins by size, shape, color, and texture (Raihen & Akter, 2024), identifying data types ...

Artificial intelligence has improved by leaps and bounds over the last few decades and has changed the way many people, ...

As artificial intelligence takes off, how do we efficiently integrate it into our lives and our work? Bridging the gap ...