Climate change and the recent rapid expansion of residential areas into rural areas after the outbreak of COVID-19 expose more communities to the wildfire risk. This research adopts a unique database containing house transaction data from near the boundary of the Bushfire Prone Area (BPA), which...

Climate change and the recent rapid expansion of residential areas into rural areas after the outbreak of COVID-19 expose more communities to the wildfire risk. This research adopts a unique database containing house transaction data from near the boundary of the Bushfire Prone Area (BPA), which...

Different from traditional statistical analysis that concerns about individuals, network analysis focuses more on the dichotomous relationships between those individuals. It is then of interest to investigate the relationship against a set of predictive variables. The widely used generalized...

This paper investigates impact of digital development on labor mobility decisions across Chinese industries using data from the China Family Panel Studies (2014-2018) and China’s Input-Output Table data. Our findings reveal a significant crowding-out effect of industry digitalization...

Intro -- Table of Contents -- Preface -- Part 1: Symbolic Data -- 1 Explanatory Tools for Machine Learning in the Symbolic Data Analysis Framework -- 1.1. Introduction -- 1.2. Introduction to Symbolic Data Analysis -- 1.3. Symbolic data tables from Dynamic Clustering Method and EM -- 1.4....