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008			220124s2022 sz | s |||| 0|eng d
020			_a9783030885670
024	7		_a10.1007/978-3-030-88567-0 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aCC80.4 _b2022 EB
100	1		_aSierra Castillo, María Elena _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9683269
245	1	0	_aComputational and Machine Learning Tools for Archaeological Site Modeling _cby Maria Elena Castiello
250			_aFirst edition 2022
264		1	_aCham _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XVIII, 296 páginas) _b159 ilustraciones, 139 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aSpringer Theses Recognizing Outstanding Ph.D. Research _x2190-5061
505	0		_aIntroduction -- Space, Environment and Quantitative approaches in Archaeology -- Predictive Modeling -- Materials and Data.
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.
988			_aSpringer_Robotics_2022
650		7	_2embne _9166090 _aAprendizaje automático
650		7	_2embne _9666617 _aArqueología _xProceso de datos
650		7	_2embne _9143900 _aDiseño asistido por ordenador
776	0	8	_iPrinted edition: _z9783030885663
776	0	8	_iPrinted edition: _z9783030885687
776	0	8	_iPrinted edition: _z9783030885694
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-88567-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE _n0
998			_b03/2022 _dz _esc _zSI