One crucial task of actuaries is to structure data so that observed events are explained by their inherent risk factors. They are proficient at generalizing important elements to obtain useful forecasts. Although this expertise is beneficial when paired with conventional statistical models, it...

Today's economy is characterized by increased competition, faster product development and increased product differentiation. As a consequence product lifecycles become shorter and demand patterns become more volatile which especially affects the retail industry. This new situation imposes...

Cash related market want is the display of endeavoring to envision the future estimation of an affiliation stock. The beneficial want of a stock future cost could reestablish the fundamental preferred standpoint yet this information is to an incredible degree enormous in nature. So managing this...

The world has become data driven, which highly accentuated the utilization of information technology. The movements of stock markets are influenced, by both the micro as well as macro economic variables including the legal framework and taxation policies of the respective economies. The crux of...

The paper tries to resolve the complexity encountered in processing of Big Data through various methodology which includes Reverse Geometric Data Perturbation to estimate the spectral flow of data through new learning methods for underlying neural networks. It also has insights into the...

The agri-food sector is an endless source of expansion for nourishing a vast population, but there is a considerable need to develop high-standard procedures through intelligent and innovative technologies, such as artificial intelligence (AI) and big data. This paper addresses the research...