Trampling fragmentation potential of lithic artifacts: an experimental approach
A proposal to estimate the Trampling fragmentation Potential (TFP) on lithic artifacts from their metric attributes is presented. We apply a data mining technique known as decision trees to experimental datasets obtained in several trampling experiments. Results show that the ratio of area to thickn...
| Autores: | , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2014 |
| País: | Argentina |
| Institución: | Consejo Nacional de Investigaciones Científicas y Técnicas |
| Repositorio: | CONICET Digital (CONICET) |
| Idioma: | inglés |
| OAI Identifier: | oai:ri.conicet.gov.ar:11336/33509 |
| Acceso en línea: | http://hdl.handle.net/11336/33509 |
| Access Level: | acceso abierto |
| Palabra clave: | TRAMPLING FRAGMENTATION POTENTIAL LITHIC EXPERIMENTS DECISION TREE https://purl.org/becyt/ford/6.1 https://purl.org/becyt/ford/6 |
| Sumario: | A proposal to estimate the Trampling fragmentation Potential (TFP) on lithic artifacts from their metric attributes is presented. We apply a data mining technique known as decision trees to experimental datasets obtained in several trampling experiments. Results show that the ratio of area to thickness is the main element affecting the probability of breakage on lithic artifacts by trampling. Also, a maximum thickness value for lithic artifacts prone to be broken by trampling is estimated. Finally, we argue establishing threshold values for trampling potential allows distinguishing incidental fractures with similar traits and different origins. |
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