CLADAG 2021 BOOK OF ABSTRACTS AND SHORT PAPERS 13th Scientific Meeting of the Classification and Data Analysis Group - Firenze, September 9-11, 2021
The book collects the short papers presented at the 13th Scientific Meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society (SIS). The meeting has been organized by the Department of Statistics, Computer Science and Applications of the University of Florence...
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| Other Authors: | , , |
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| Format: | Electronic Book Chapter |
| Language: | English |
| Published: |
Florence
Firenze University Press
2021
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| Series: | Proceedings e report
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| Subjects: | |
| Online Access: | DOAB: download the publication DOAB: description of the publication |
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| 700 | 1 | |a Bocci, Chiara |4 edt | |
| 700 | 1 | |a PORZIO, Giovanni Camillo |4 oth | |
| 700 | 1 | |a RAMPICHINI, CARLA |4 oth | |
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| 245 | 1 | 0 | |a CLADAG 2021 BOOK OF ABSTRACTS AND SHORT PAPERS |b 13th Scientific Meeting of the Classification and Data Analysis Group - Firenze, September 9-11, 2021 |
| 260 | |a Florence |b Firenze University Press |c 2021 | ||
| 300 | |a 1 electronic resource (453 p.) | ||
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| 490 | 1 | |a Proceedings e report | |
| 506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
| 520 | |a The book collects the short papers presented at the 13th Scientific Meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society (SIS). The meeting has been organized by the Department of Statistics, Computer Science and Applications of the University of Florence, under the auspices of the Italian Statistical Society and the International Federation of Classification Societies (IFCS). CLADAG is a member of the IFCS, a federation of national, regional, and linguistically-based classification societies. It is a non-profit, non-political scientific organization, whose aims are to further classification research. | ||
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| 546 | |a English | ||
| 650 | 7 | |a Probability & statistics |2 bicssc | |
| 653 | |a Applied Data Analysis | ||
| 653 | |a Classification Theory | ||
| 653 | |a Data Science | ||
| 653 | |a Statistical Learning | ||
| 653 | |a Statistical Models | ||
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| 856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/82226 |7 0 |z DOAB: description of the publication |