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Functional Classification of Bitcoin Addresses. (arXiv:2202.12019v1 [stat.AP])
Feb. 25, 2022, 2:10 a.m. | Manuel Febrero-Bande, Wenceslao González-Manteiga, Brenda Prallon, Yuri F. Saporito
stat.ML updates on arXiv.org arxiv.org
This paper proposes a classification model for predicting the main activity
of bitcoin addresses based on their balances. Since the balances are functions
of time, we apply methods from functional data analysis; more specifically, the
features of the proposed classification model are the functional principal
components of the data. Classifying bitcoin addresses is a relevant problem for
two main reasons: to understand the composition of the bitcoin market, and to
identify accounts used for illicit activities. Although other bitcoin
classifiers …
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