The present study adopts a data mining approach based on support vector machines (SVM) for modeling the number of sales of smartphone devices by eBay sellers. The data-based sensitivity analysis was adopted for extracting meaningful knowledge translated into the relevan...

The discovery of knowledge through data mining provides a valuable asset for addressing decision making problems. Although a list of features may characterize a problem, it is often the case that a subset of those features may influence more a certain group of events co...

Moro, S., Pires, G., Rita, P., & Cortez, P. (2020). A cross-cultural case study of consumers' communications about a new technological product. Journal of Business Research, 121(December), 438-447. [Advanced online publication on 16 august 2018] Link: https://doi.org/10...

As the need to address climate change is ever more urgent, many have emphasised the importance of community-level responses. The Transition movement has advanced community-based action to increase resilience for over a decade and has expanded significantly. Thus, it is ...

Amado, A., Cortez, P., Rita, P., & Moro, S. (2018). Research trends on Big Data in Marketing: A text mining and topic modeling based literature analysis. European Research on Management and Business Economics, 24(1), 1-7. DOI: 10.1016/j.iedeen.2017.06.002 Given the rese...

This study presents a literature analysis using a semiautomated text mining and topic modelling approach of the body of knowledge encompassed in 17 years (2000–2016) of literature published in the Wiley's Expert Systems journal, a key reference in Expert Systems (ESs) r...

This article seeks to understand the discourses on motherhood elicited by media in news articles dealing with infanticide. Applying thematic analysis, we studied news and online comments of a Portuguese newspaper. The analysis of infanticidal mothers reports two differe...