A common problem for many companies, like retail stores, it is to find sets of products that are sold together. The only source of information available is the history of sales transactional data. Common techniques of ...

In this paper, we presented the Extended Association Rule Network (ExARN) to structure, prune and analyze a set of association rules, aiming to build hypothesis candidates. The ExARN extends the ARN, proposed by [2], ...

Purpose This paper aims to present an approach to detect interrelations among product categories, which are then used to produce a partition of a retailer's business into subsets of categories. The methodology also yields ...

Market basket analysis provides an insight into customer consumption patterns and trends in the industry. These will be achieved by analyzing and studying the performance of the large datasets of transactions made by ...

A huge amount of data has been collected and stored by companies year after year. However, most of them are not being analyzed in order to boost the business. Data Mining is a tool that is a tool that aims to analyze ...

A huge amount of data has been collected and stored by companies year after year. However, most of them are not being analyzed in order to boost the business. Data Mining is a tool that is a tool that aims to analyze ...

En este estudio se propone una metodología con análisis de redes para realizar un Market Basket Analysis a nivel de producto en una empresa de retail chilena. Se utiliza un algoritmo de detección de comunidades para ...

This work elaborates on the statistical study of the first cryptocurrency made: Bitcoin. It presents a brief introduction to the basic concepts behind the functioning of the entity, as well as some studies regarding ...

In recent years, it has been a growing weakening of public policies for the disposal of products and investment in family farming. This fact hindered and directly affected the production process and, for many families of ...