Computational and Machine Learning Tools for Archaeological Site Modeling

Name: Computational and Machine Learning Tools for Archaeological Site Modeling
Brand: Springer Nature Switzerland AG
SKU: 9783030885663
Price: 933.8 PLN
Availability: InStock

Autor: Maria Elena Castiello

Język:

Oprawa: Twarda

Wydawca: Springer Nature Switzerland AG

Dostępność: Dostępna u dostawcy

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This book describes a novel machine-learning based approach to answer some traditional archaeologi...

Informacje o książce

Autor

Maria Elena Castiello

Język

Angielski

Oprawa

Książka - Twarda

Data wydania

2022

strony

296

EAN

9783030885663

Enbook ID

38503919

Wydawca

Springer Nature Switzerland AG

Waga

641

Wymiary

155 x 235 x 23

Pełny opis

This 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.

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