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Regimes in baseball players' career data
Linköpings universitet, Institutionen för datavetenskap, Databas och informationsteknik. Linköpings universitet, Tekniska fakulteten.ORCID-id: 0000-0002-8678-1164
2017 (engelsk)Inngår i: Data mining and knowledge discovery, ISSN 1384-5810, E-ISSN 1573-756X, Vol. 31, nr 6, s. 1580-1621Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

In this paper we investigate how we can use gated Bayesian networks, a type of probabilistic graphical model, to represent regimes in baseball players’ career data. We find that baseball players do indeed go through different regimes throughout their career, where each regime can be associated with a certain level of performance. We show that some of the transitions between regimes happen in conjunction with major events in the players’ career, such as being traded or injured, but that some transitions cannot be explained by such events. The resulting model is a tool for managers and coaches that can be used to identify where transitions have occurred, as well as an online monitoring tool to detect which regime the player currently is in.

sted, utgiver, år, opplag, sider
Springer-Verlag New York, 2017. Vol. 31, nr 6, s. 1580-1621
HSV kategori
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URN: urn:nbn:se:liu:diva-141031DOI: 10.1007/s10618-017-0510-5ISI: 000412342000002Scopus ID: 2-s2.0-85019679633OAI: oai:DiVA.org:liu-141031DiVA, id: diva2:1143129
Tilgjengelig fra: 2017-09-20 Laget: 2017-09-20 Sist oppdatert: 2018-01-13bibliografisk kontrollert

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