Forecasting has always been at the forefront of decision making and planning. The
uncertainty that surrounds the future is both exciting and challenging, with individuals and …

Telephone call centers are an integral part of many businesses, and their economic role is
significant and growing. They are also fascinating sociotechnical systems in which the …

We propose an autonomous blockchain-based federated learning (BFL) design for privacy-
aware and efficient vehicular communication networking, where local on-vehicle machine …

Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for
Business introduces the fundamental principles of data science, and walks you through the" …

Using detailed traces from 255 users, we conduct a comprehensive study of smartphone
use. We characterize intentional user activities--interactions with the device and the …

Call centers are an increasingly important part of today's business world, employing millions
of agents across the globe and serving as a primary customer‐facing channel for firms in …

Hospitals are complex systems with essential societal benefits and huge mounting costs.
These costs are exacerbated by inefficiencies in hospital processes, which are often …

We analyze a large, detailed operational data set from a restaurant chain to shed new light
on how workload (defined as the number of tables or diners that a server simultaneously …

We propose a nonparametric method for identifying parsimony and for producing a
statistically efficient estimator of a large covariance matrix. We reparameterise a covariance …

Many service systems display nonstationary demand: the number of customers fluctuates
over time according to a stochastic—though to some extent predictable—pattern. To …