Business analytics aims to enable organizations to make quicker, better, and more
intelligent decisions with the aim to create business value. To date, the major focus in the …

Big Data Systems (BDSs) are an emerging class of scalable software technologies whereby
massive amounts of heterogeneous data are gathered from multiple sources, managed …

Many real-world analytics problems involve two significant challenges: prediction and
optimization. Because of the typically complex nature of each challenge, the standard …

This monograph develops a comprehensive statistical learning framework that is robust to
(distributional) perturbations in the data using Distributionally Robust Optimization (DRO) …

Nowadays, huge amounts of data have been captured along with the day-to-day operation
of assets including railway systems. Hence, we have come to the era of big data. The …

In the broad sphere of Analytics, prescriptive analytics is one of the emerging areas of
interest for both academicians and practitioners. As prescriptive analytics has transitioned …

Analytics today is an area whose demand has reached a boom with every other
organization using it to ponder upon major decisions. The data is growing exponentially day …

Many approaches for solving problems in business and industry are based on analytics and
statistical modeling. Analytical problem solving is driven by the modeling of relationships …

In early 2020, the world was shocked by the outbreak of COVID-19. World Health
Organization (WHO) urged people to stay indoors to avoid the risk of infection. Thus, more …

In this paper, we demonstrate how to learn the objective function of a decision maker while
only observing the problem input data and the decision maker's corresponding decisions …