The computational analysis of large quantities of data is an important asset for the economic study of interactions among social agents. However, most of available frequent pattern discovery techniques result in a huge number of rules and scalability problems that end up requiring unnecessary subjectivity in data interpretation. This work presents Ramex-Forum, a visualization technique that can high- light important relations often hidden in economic data. A case study using recent asset prices on global economic data confirm the usefulness of the approach for expressing economic influence cues as poly-trees.
|Title of host publication||EPIA LOCAL Proceedings - Advances In Artificial Intelligence|
|Publisher||APPIA - Associação Portuguesa para a Inteligência Artificial|
|Publication status||Published - 1 Jan 2013|
|Event||EPIA - XVI Portuguese Conference on Artificial Intelligence - |
Duration: 1 Jan 2013 → …
|Conference||EPIA - XVI Portuguese Conference on Artificial Intelligence|
|Period||1/01/13 → …|