Source characterization alone is not sufficient to account for the effective impact of odours on
citizens, which would require to quantify odours directly at receptors. However, despite a …

Algorithm fairness has started to attract the attention of researchers in AI, Software
Engineering and Law communities, with more than twenty different notions of fairness …

Artificial intelligence enabled systems have been an inevitable part of everyday life.
However, efficient software engineering principles and processes need to be considered …

This paper introduces a new technique for feature selection and illustrates it on a real data
set. Namely, the proposed approach creates subsets of attributes based on two criteria:(1) …

Witten and Frank's textbook was one of two books that 1 used for a data mining class in the
Fall of 2001. The book covers all major methods of data mining that produce a knowledge …

Data Mining Page 1 Data Mining Practical Machine Learning Tools and Techniques Third
Edition Ian H. Witten Eibe Frank Mark A. Hall ELSEVIER AMSTERDAM • BOSTON • …

Monitoring electricity consumption in the home is an important way to help reduce energy
usage. Nonintrusive Load Monitoring (NILM) is existing technique which helps us monitor …

This essay gives advice to authors of papers on machine learning, although much of it
carries over to other computational disciplines. The issues covered include the material that …

Companies across domains are rapidly engaged in shifting computational power and
intelligence from centralized cloud to fully decentralized edges to maximize value delivery …

Confusion Matrix is an important measure to evaluate the accuracy of credit scoring models.
However, the literature about Confusion Matrix is limited. The analytical properties of …