Australia’s New South Wales Police used a legacy facial recognition algorithm for over a decade and declined repeated offers of updates from the vendor, instead replacing it with a system adapted ...

In light of recent changes in the law and closely monitor developments in this area, New York landlords and software companies should review the design and deployment of any algorithms used in ...

Junior faculty are often told to protect their time, but nobody provides instructions for how to do so. As an assistant professor at a public university, I have struggled to balance my course load, my ...

An advanced ensemble-based machine learning trading system for S&P 500 stocks with Interactive Brokers (IBKR) integration. This project implements a comprehensive pipeline from data acquisition to ...

This paper first discusses the storage structure of trees, selects a convenient storage method for solving the nullity of trees, and then applies the relationship between the maximum matching number ...

Abstract: Utilizing data mining tasks such as classification on spatial data is more complex than those on non-spatial data. It is because spatial data mining algorithms have to consider not only ...

I had a very interesting discussion about decision trees recently and I thought it worth my time to explore use cases. A simple terminal-based decision tree implementation that processes structured ...

1 Department of Pharmacy Practice & Science, The University of Arizona R. Ken Coit College of Pharmacy, Tucson, AZ, United States 2 The University of Arizona College of Nursing, Tucson, AZ, United ...

Decision trees are a powerful tool for decision-making and predictive analysis. They help organizations process large amounts of data and break down complex problems into clear, logical steps. Used in ...