In this paper the k-nearest-neighbours (KNN) based method is presented for the classification of time series which use qualitative learning to identify similarities using kernels. To this end, time series are transformed into symbol strings by means of several discretization methods and a distance based on a kernel between symbols in ordinal...
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February 14, 2023 (v1)PublicationUploaded on: March 1, 2023
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February 14, 2023 (v1)Publication
This paper describes a new discretization algorithm, called Ameva, which is designed to work with supervised learning algorithms. Ameva maximizes a contingency coefficient based on Chi-square statistics and generates a potentially minimal number of discrete intervals. Its most important advantage, in contrast with several existing...
Uploaded on: February 28, 2023 -
February 22, 2023 (v1)Publication
The are different approaches to the temporal study of time evolving systems. In the paper, this study is carried out by means of the comparison of the time series. This paper continues previous Works on QSI and studies the noise sensitivity of this index. The noise sensitivity dependes basically on the labelling process. This study is completed...
Uploaded on: February 28, 2023 -
February 16, 2023 (v1)Publication
Comité Interministerial de Ciencia y Tecnología TIN2004-07246-C03-03
Uploaded on: March 1, 2023 -
October 24, 2017 (v1)Publication
No description
Uploaded on: December 4, 2022 -
November 22, 2021 (v1)Publication
Ministerio de Educación y Ciencia TSI2006-13390-C02-02
Uploaded on: March 25, 2023 -
November 19, 2021 (v1)Publication
In ubiquitous computing we need to know the present context in order to interact properly with the nearby smart elements. When we are moving outdoors, mobile devices take a very important role because they provide us with a link between the world outside and ourselves through means of intelligent interfaces. There are a lot of situations in...
Uploaded on: March 25, 2023 -
May 25, 2023 (v1)Publication
The purpose of this paper is to describe the cksign of a software framework to build smart environment, based in the architecture proposed and the OSGi technology. Thc Framework divides the general process in three subprocesses, and specifies a methodology for the implementation of each part, as well as the way in which these parts must...
Uploaded on: May 26, 2023 -
May 29, 2023 (v1)Publication
In this papera new kernel, from statistical learning theory, is proposed to work with symbols chains (words) obtained from a discretization procedure of a continuous feature. Meanwhile the exact definition of the discretization is not strictly necessary, it must ever exist either, a distance or a similarity measure between symbols in a certain...
Uploaded on: May 31, 2023 -
February 27, 2015 (v1)Publication
No description
Uploaded on: December 4, 2022 -
April 3, 2017 (v1)Publication
In this paper, the study of systems that evolve in time by means of the comparison of time series is proposed. An improvement in the form to compare temporal series with the incorporation of qualitative knowledge by means of qualitative labels is carried out. Each label represents a rank of values that, from a qualitative perspective, may...
Uploaded on: December 2, 2022