Zobrazeno 1 - 10
of 134
pro vyhledávání: '"Pierpaolo D'Urso"'
Publikováno v:
Machine Learning with Applications, Vol 10, Iss , Pp 100417- (2022)
Although there are many contributions in the time series clustering literature, few studies still deal with count time series data. This paper aims to develop a fuzzy clustering procedure for count time series data. We propose an Integer GARCH-based
Externí odkaz:
https://doaj.org/article/22e4ad5da156491cbb4406dc25a1f62d
Autor:
Livia De Giovanni, Pierpaolo D’Urso, Nadia Fiorino, Emma Galli, Giampaolo Garzarelli, Antonio Pacifico
Publikováno v:
Applied Economics. :1-18
Publikováno v:
Annals of Operations Research.
Financiado para publicación en acceso aberto: Universidade da Coruña/CISUG. [Abstract]: Two novel distances between categorical time series are introduced. Both of them measure discrepancies between extracted features describing the underlying seri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::94901171ca81d9f228b0f54bb0c2dcb3
https://hdl.handle.net/2183/32840
https://hdl.handle.net/2183/32840
Autor:
Pierpaolo D’Urso, Livia De Giovanni, Leonardo Salvatore Alaimo, Raffaele Mattera, Vincenzina Vitale
In recent years, the research of statistical methods to analyze complex structures of data has increased. In particular, a lot of attention has been focused on the interval-valued data. In a classical cluster analysis framework, an interesting line o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e124603481e1d97f619776c00db7dcae
https://hdl.handle.net/11573/1680481
https://hdl.handle.net/11573/1680481
Publikováno v:
Annals of Operations Research.
In this paper a weighted complex network is used to detect communities of basketball players on the basis of their performances. A sparsification procedure to remove weak edges is also applied. In our proposal, at each removal of an edge the best com
Publikováno v:
Proceedings of the 4th International Conference on Statistics: Theory and Applications.
Publikováno v:
Social Indicators Research. 154:335-360
The popularity of the cluster analysis in the tourism field has massively grown in the last decades. However, accordingly to our review, researchers are often not aware of the characteristics and limitations of the clustering algorithms adopted. An i
Autor:
Pierpaolo D'Urso, Vincenzina Vitale
Publikováno v:
Social Indicators Research. 151:897-919
The measure of the equitable and sustainable well-being (Bes) is of growing interest in the last years. The National Institute of Statistics (Istat) provides, for Italy, a wide set of indicators describing each domain of well-being that is, by defini
Publikováno v:
Information Sciences. 512:381-401
In this paper a Self-Organizing Map (SOM) robust to the presence of outliers, the Smoothed SOM (S-SOM), is proposed. S-SOM improves the properties of input density mapping, vector quantization, and clustering of the standard SOM in the presence of ou