We propose a dimensionality reduction technique for time series analysis that significantly improves the efficiency and accuracy of similarity searches. In contrast to piecewise c...
Discovering patterns with highly significance is an important problem in data mining discipline. An episode is defined to be a partially ordered set of events for a consecutive an...
We argue that artificial intelligence systems must be able to manipulate their own internal representations automatically in order to deal with an infinitely complex and ever chan...
This article basically consists of three differentiated but related between themselves parts. The first part is a brief overview of the Artificial Intelligence science (in it, the...
A fundamental problem in artificial intelligence is that nobody really knows what intelligence is. The problem is especially acute when we need to consider artificial systems whic...
This paper introduces an ant-based colony system for the representation of a verbal route description. It is grounded on a natural metaphor that mimics the behavior of ant colonie...