A Visual Tool For Mining Macroeconomics Data
Author(s)
D. Giordano & F. Maiorana
Abstract
Data mining environments need tools capable of aiding results comprehension,
in particular by resorting to the power of visual perception. This paper presents a
tool designed and implemented in MatLab™ to facilitate visual mining of a large
set of macroeconomics data on the world import and export activity of seven
countries, in order to extend an analysis already performed with the aim of
building models of national specialization and identifying possible market
outlets. A model of the \“market” is built, by using a Multilayer Perceptron; then
it is fed to a graphical interface which supports queries such as: can country X
expand towards country Y in one particular sector? Answer messages point out,
for the selected countries, sectors in which the market could be expanded, and
for what specific products. As an aid to making sense of a given suggestion, a
detailed market analysis can be carried out by resorting to a set of tabular and
graphical views that are able to map the productive structure of each country and
also the dynamics of its evolution through the years. The advantages of
MatLab™ as a development environment are pointed out. It is argued that the
additional effort for developing ad-hoc task oriented interfaces is especially
justified in the case of frequent and interactive mining to be performed by
decision makers.
Keywords: visual data mining, neural networks, MatLab, macroeconomics.
1 Introduction
One of the issues of interest in developing usable data mining environments is to
provide the analysts with tools that aid model comprehension, quick analysis,
and results interpretation. Flexible tools for data exploration and results
visualization are one of the most appropriate solutions towards this aim. In
Kopanakis and Theodoulidis [1] visual data mining is defined as involving the
Keywords
visual data mining, neural networks, MatLab, macroeconomics.
Related Book
Other papers in this volume
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