With the overwhelming amount of complex and heterogeneous data pouring from any-where, any-time, and any-device, there is undeniably an era of Big Data. The emergence of the Big Data as a disruptive technology for next generation of intelligent systems, has brought many issues of how to extract...

Background: Our day-to-day commodities truly depend on the industrial sector, which is expanding at a rapid rate along with the growing population. The production of goods needs to be accurate and rapid. Thus, for the present research, we have incorporated machine-learning (ML) technology in the...

In this paper, we present a modeling approach for aggregate and disaggregate level models for cluster based diffusion of a new technology. For a homogenous population, the Bass (1969) model has been used extensively to predict the sales of newly introduced consumer durables. In comparison,...

Purpose – The purpose of this paper is to present a modeling approach for aggregate and disaggregate level models for cluster‐based diffusion of a new technology. The aggregate approach refers to the diffusion modeling of a product at the overall population level, while the disaggregate...