001443935 000__ 03361cam\a2200565Ia\4500
001443935 001__ 1443935
001443935 003__ OCoLC
001443935 005__ 20230310003609.0
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001443935 020__ $$a9783030885670$$q(electronic bk.)
001443935 020__ $$a3030885674$$q(electronic bk.)
001443935 020__ $$z3030885666
001443935 020__ $$z9783030885663
001443935 0247_ $$a10.1007/978-3-030-88567-0$$2doi
001443935 035__ $$aSP(OCoLC)1293775809
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001443935 049__ $$aISEA
001443935 050_4 $$aCC80.4
001443935 08204 $$a930.10285/631$$223
001443935 1001_ $$aCastiello, Maria Elena.
001443935 24510 $$aComputational and machine learning tools for archeological site modeling /$$cMaria Elena Castiello.
001443935 260__ $$aCham, Switzerland :$$bSpringer,$$c2022.
001443935 300__ $$a1 online resource
001443935 336__ $$atext$$btxt$$2rdacontent
001443935 337__ $$acomputer$$bc$$2rdamedia
001443935 338__ $$aonline resource$$bcr$$2rdacarrier
001443935 347__ $$atext file$$bPDF$$2rda
001443935 4901_ $$aSpringer theses,$$x2190-5061
001443935 500__ $$a"Doctoral Thesis accepted by University of Bern, Switzerland."
001443935 504__ $$aIncludes bibliographical references.
001443935 5050_ $$aIntroduction -- Space, Environment and Quantitative approaches in Archaeology -- Predictive Modeling -- Materials and Data.
001443935 506__ $$aAccess limited to authorized users.
001443935 520__ $$aThis book describes a novel machine-learning based approach to answer some traditional archaeological problems, relating to archaeological site detection and site locational preferences. Institutional data collected from six Swiss regions (Zurich, Aargau, Grisons, Vaud, Geneva and Fribourg) have been analyzed with an original conceptual framework based on the Random Forest algorithm. It is shown how the algorithm can assist in the modelling process in connection with heterogeneous, incomplete archaeological datasets and related cultural heritage information. Moreover, an in-depth review of past and more recent works of quantitative methods for archaeological predictive modelling is provided. The book guides the readers to set up their own protocol for: i) dealing with uncertain data, ii) predicting archaeological site location, iii) establishing environmental features importance, iv) and suggest a model validation procedure. It addresses both academics and professionals in archaeology and cultural heritage management, and offers a source of inspiration for future research directions in the field of digital humanities and computational archaeology.
001443935 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed February 9, 2022).
001443935 650_0 $$aArchaeology$$xData processing.
001443935 650_0 $$aMachine learning.
001443935 650_6 $$aArchéologie$$xInformatique.
001443935 650_6 $$aApprentissage automatique.
001443935 655_0 $$aElectronic books.
001443935 77608 $$iPrint version:$$z3030885666$$z9783030885663$$w(OCoLC)1266896600
001443935 830_0 $$aSpringer theses,$$x2190-5061
001443935 852__ $$bebk
001443935 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-88567-0$$zOnline Access$$91397441.1
001443935 909CO $$ooai:library.usi.edu:1443935$$pGLOBAL_SET
001443935 980__ $$aBIB
001443935 980__ $$aEBOOK
001443935 982__ $$aEbook
001443935 983__ $$aOnline
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