This article marks the occasion of Social Science Research's 50th anniversary by reflecting
on the progress of sequence analysis (SA) since its introduction into the social sciences four …

Mobile crowdsensing, an emerging sensing paradigm, promotes scalability and reduction in
the deployment of specialized sensing devices for large-scale data collection in a …

Prediction of daily transportation mode use (car, public transit, or active travel) is a important
task in transportation research. Unlike statistical models that impose a predetermined model …

What makes you hold on that old car? While the vast majority of the household vehicles are
still powered by conventional internal combustion engines, the progress of adopting …

Duplicate record is a common problem within data sets especially in huge volume
databases. The accuracy of duplicate detection determines the efficiency of duplicate …

Daily transportation mode choice is largely habitual, but transitions between life events may
disrupt travel habits and can shift choices between alternative transportation modes …

Artificial intelligence (AI) gives many benefits to our lives. However, biased AI models
created by receiving data poisoning attacks may induce social problems. Therefore …

Background Acoustic telemetry, for tracking fish movement histories, is multidimensional
capturing both spatial and temporal domains. Oftentimes, analyses of such data are limited …

Dimensionality reduction is a commonly used technique in data analytics. Reducing the
dimensionality of datasets helps not only with managing their analytical complexity but also …

Logistic regression has long been the gold standard for choice modeling in the
transportation field. Despite the rising popularity of machine learning (ML), few is applied to …