Organizations are increasingly interested in classifying texts or parts thereof into categories,
as this enables more effective use of their information. Manual procedures for text …

Although machine learning methods have been used as an outcome prediction tool in many
fields, their utilization in predicting incident outcome in occupational safety is relatively new …

The overall accuracy, macro precision, macro recall, F-score and class balance accuracy,
due to their simplicity and easy interpretation, have been among the most popular metrics to …

Abstract Comparison of classification techniques in Data mining to find the best technique
for creating risk prediction model of heart disease at minimum effort. In Data mining, different …

Feature selection, a critical pre-processing step for data mining, is aimed at determining
representative variables/predictors from a large and feature-rich dataset for development of …

Identifying driving styles using classification models with in-vehicle data can provide
automated feedback to drivers on their driving behavior, particularly if they are driving safely …

Vehicle sensor data enable novel, usage-based insurance premium models known as 'Pay-
As-You-Drive'(PAYD) insurance, but pose substantial challenges for actuarial decision …

Usage-based insurance (UBI) adjusts premiums based on an individual policyholder's
dynamic risk evaluation, incentivizing policyholders to maintain safe driving behavior in …

Although graduation rates have interested stakeholders, educational researchers, and
policymakers for some time, little progress has been made on the overall graduation rate at …

The use of data mining methods in corporate decision making has been increasing in the
past decades. Its popularity can be attributed to better utilizing data mining algorithms …