Details
| Original language | English |
|---|---|
| Title of host publication | Across the Alps in Prehistory |
| Subtitle of host publication | Isotopic Mapping of the Brenner Passage by Bioarchaeology |
| Publisher | Springer International Publishing AG |
| Pages | 105-125 |
| Number of pages | 21 |
| ISBN (electronic) | 9783319415505 |
| ISBN (print) | 9783319415482 |
| Publication status | Published - 24 May 2017 |
Abstract
The generation of an isotopic map of the reference region featuring local stable isotopic fingerprints requires the application of data mining methods due to the heterogeneity and complexity of the generated data. In this chapter, we explore new techniques to process isotopic data with the ultimate goal of constructing a map of locally characteristic isotopic fingerprints that help predict the places of origin of particular findings and, thus, supports archaeologists in deriving and testing hypotheses. In particular, we propose a new method for feature selection and apply it to a sample dataset of animal bones from the reference region. This application confirms that a multivariate fingerprint is clearly superior over univariate analysis and that the impact of oxygen on the reliability of the fingerprints is not very prominent. These findings confirm that it is possible to explore cremated human material for provenance analysis. Based on these results, we also propose a new spatial clustering method for detecting spatially consistent areas of homogeneous isotopic fingerprints resulting in an isotopic map of the reference region.
ASJC Scopus subject areas
- Agricultural and Biological Sciences(all)
- General Agricultural and Biological Sciences
- Biochemistry, Genetics and Molecular Biology(all)
- General Biochemistry,Genetics and Molecular Biology
- Medicine(all)
- General Medicine
- Social Sciences(all)
- General Social Sciences
- Chemistry(all)
- General Chemistry
- Computer Science(all)
- General Computer Science
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Across the Alps in Prehistory: Isotopic Mapping of the Brenner Passage by Bioarchaeology. Springer International Publishing AG, 2017. p. 105-125.
Research output: Chapter in book/report/conference proceeding › Contribution to book/anthology › Research › peer review
}
TY - CHAP
T1 - The Isotopic Fingerprint
T2 - New Methods of Data Mining and Similarity Search
AU - Mauder, Markus
AU - Ntoutsi, Eirini
AU - Kröger, Peer
AU - Kriegel, Hans Peter
N1 - Publisher Copyright: © Springer International Publishing AG 2017. All rights reserved. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2017/5/24
Y1 - 2017/5/24
N2 - The generation of an isotopic map of the reference region featuring local stable isotopic fingerprints requires the application of data mining methods due to the heterogeneity and complexity of the generated data. In this chapter, we explore new techniques to process isotopic data with the ultimate goal of constructing a map of locally characteristic isotopic fingerprints that help predict the places of origin of particular findings and, thus, supports archaeologists in deriving and testing hypotheses. In particular, we propose a new method for feature selection and apply it to a sample dataset of animal bones from the reference region. This application confirms that a multivariate fingerprint is clearly superior over univariate analysis and that the impact of oxygen on the reliability of the fingerprints is not very prominent. These findings confirm that it is possible to explore cremated human material for provenance analysis. Based on these results, we also propose a new spatial clustering method for detecting spatially consistent areas of homogeneous isotopic fingerprints resulting in an isotopic map of the reference region.
AB - The generation of an isotopic map of the reference region featuring local stable isotopic fingerprints requires the application of data mining methods due to the heterogeneity and complexity of the generated data. In this chapter, we explore new techniques to process isotopic data with the ultimate goal of constructing a map of locally characteristic isotopic fingerprints that help predict the places of origin of particular findings and, thus, supports archaeologists in deriving and testing hypotheses. In particular, we propose a new method for feature selection and apply it to a sample dataset of animal bones from the reference region. This application confirms that a multivariate fingerprint is clearly superior over univariate analysis and that the impact of oxygen on the reliability of the fingerprints is not very prominent. These findings confirm that it is possible to explore cremated human material for provenance analysis. Based on these results, we also propose a new spatial clustering method for detecting spatially consistent areas of homogeneous isotopic fingerprints resulting in an isotopic map of the reference region.
UR - http://www.scopus.com/inward/record.url?scp=85033195594&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-41550-5_5
DO - 10.1007/978-3-319-41550-5_5
M3 - Contribution to book/anthology
AN - SCOPUS:85033195594
SN - 9783319415482
SP - 105
EP - 125
BT - Across the Alps in Prehistory
PB - Springer International Publishing AG
ER -