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Title

Discovering Prehistoric Ritual Norms. A Machine Learning Approach

AuthorsDuboscq, Stephanie; Barceló-Álvarez, Juan Antonio; Achino, Katia; Morell, Berta; Alliése, F.; Gibaja, Juan Francisco
KeywordsSepulcres de Fossa
Statistics and Supervised Learning
Ritual Patterns
Funerary practices
Issue Date2016
PublisherArchaeopress
Università di Siena
CitationCAA2015. Proceeding of the 43rd Annual Conference on Computer Applications and Quantitative Methods in Archaeology : 837-844 (2016)
AbstractIn this paper we propose a computational approach, based on the application of supervised learning techniques, in order to understand prehistoric funerary practices. In particular we focus on the understanding of relevant ritual pattems from North-Eastem Iberian Peninsula Middle Neolithic burials. We compare standard statistical multidimensional approaches with machine learning methods based on a supervised learning approach in which the relevant category to be formally induced is the sex of the individuals. Different analysis will be explored, as Cluster and Correspondence analysis and Decision Trees to show how we can define social norms in the archaeological record based on detecting relevant differences between controlled categories. Of special relevance for our purposes is the comparison between 'classical ' Confirmatory Factor Analysis ofburial similarities and the machine learning approach to conceptual induction.
Publisher version (URL)http://archaeopress.com/ArchaeopressShop/Public/download.asp?id={77DEDD4E-DE8F-43A4-B115-ABE0BB038DA7}
URIhttp://hdl.handle.net/10261/144179
Identifiersisbn: 9781784913389
Appears in Collections:(IMF) Libros y partes de libros
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