Clustering is an essential data mining task with various types of applications. Traditional clustering algorithms are based on a vector space model representation. A relational dat...
Background: Gene expression databases are key resources for microarray data management and analysis and the importance of a proper annotation of their content is well understood. ...
Andrea Splendiani, Marco Brandizi, Gael Even, Otta...
This paper develops an algorithm that extracts explanatory rules from microarray data, which we treat as time series, using genetic programming (GP) and fuzzy logic. Reverse polis...
It is estimated that less than ten percent of the world’s species have been discovered and described. The main reason for the slow pace of new species description is that the sc...
There are a number of established products on the market for wrapping—semi-automatic navigation and extraction of data—from web pages. These solutions make use of the inherent...