Published July 19, 2022
| Version v1
Publication
Performance of Algorithms for Interval Discretization of Biomedical Signals
Description
A methodology to quantify the dependence be tween features using the Ameva discretization algorithm and
the advantages of qualitative models is presented in this paper.
This approach will be applied over medical data sets. A com parison among Ameva and other related works has been done.
The results, as will be depth explained in this paper, show that
Ameva-based methodology can be used to determine the depen dence between features in a fast and understandable way from
data sets with a high number of attributes and low number
of instances. This is a quite important feature in genomic en vironments among others. This methodology has been applied
to some well-known medical data sets and the results obtained
shown that is a good alternative to other established algorithms
in terms of clarity and computational cost.
Abstract
Ministerio de Economía y Competitividad TIN2013-46801-C4-1-RAbstract
Junta de Andalucía TIC-8052 (Simon)Additional details
Identifiers
- URL
- https://idus.us.es/handle//11441/135547
- URN
- urn:oai:idus.us.es:11441/135547