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Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
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Computational and Machine Learning Tools for Archaeological Site Modeling (Hardcover, 1st ed. 2022)
Loot Price: R6,561
Discovery Miles 65 610
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Computational and Machine Learning Tools for Archaeological Site Modeling (Hardcover, 1st ed. 2022)
Series: Springer Theses
Expected to ship within 10 - 15 working days
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Total price: R6,581
Discovery Miles: 65 810
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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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