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Discovering geo-magnetic anomalies: a clustering-based approach. / Volzhina, Elena; Chudin, Andrei; Novikov, Boris; Grafeeva, Natalia; Mikhailova, Elena.

Proceedings of the International FRUCT Conference on Intelligence, Social Media and Web (ISMW FRUCT 2016). Institute of Electrical and Electronics Engineers Inc., 2016. p. 71-80.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Harvard

Volzhina, E, Chudin, A, Novikov, B, Grafeeva, N & Mikhailova, E 2016, Discovering geo-magnetic anomalies: a clustering-based approach. in Proceedings of the International FRUCT Conference on Intelligence, Social Media and Web (ISMW FRUCT 2016). Institute of Electrical and Electronics Engineers Inc., pp. 71-80, 2016 International FRUCT Conference on Intelligence, Social Media and Web, Saint-Petersburg, Russian Federation, 28/08/16. https://doi.org/10.1109/FRUCT.2016.7584873

APA

Volzhina, E., Chudin, A., Novikov, B., Grafeeva, N., & Mikhailova, E. (2016). Discovering geo-magnetic anomalies: a clustering-based approach. In Proceedings of the International FRUCT Conference on Intelligence, Social Media and Web (ISMW FRUCT 2016) (pp. 71-80). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/FRUCT.2016.7584873

Vancouver

Volzhina E, Chudin A, Novikov B, Grafeeva N, Mikhailova E. Discovering geo-magnetic anomalies: a clustering-based approach. In Proceedings of the International FRUCT Conference on Intelligence, Social Media and Web (ISMW FRUCT 2016). Institute of Electrical and Electronics Engineers Inc. 2016. p. 71-80 https://doi.org/10.1109/FRUCT.2016.7584873

Author

Volzhina, Elena ; Chudin, Andrei ; Novikov, Boris ; Grafeeva, Natalia ; Mikhailova, Elena. / Discovering geo-magnetic anomalies: a clustering-based approach. Proceedings of the International FRUCT Conference on Intelligence, Social Media and Web (ISMW FRUCT 2016). Institute of Electrical and Electronics Engineers Inc., 2016. pp. 71-80

BibTeX

@inproceedings{f27f3b5d2e9040f99202edf544dbaca5,
title = "Discovering geo-magnetic anomalies: a clustering-based approach",
abstract = "The paper investigates the application of clustering algorithms to data obtained by magnetometry in the places of archaeological excavations. The goal was to enable automatic detection in order to find possible anomalies in the data that could indicate the presence of potential archeological sites. Analysis of the results of following experiments with clustering algorithms is presented: d48c;-means, d484;-means and DBScan. The algorithms were run on a number of datasets, and visual assessment by experts confirmed the high level of accuracy of the results.",
keywords = "magnetometry, clustering algorithms",
author = "Elena Volzhina and Andrei Chudin and Boris Novikov and Natalia Grafeeva and Elena Mikhailova",
year = "2016",
doi = "10.1109/FRUCT.2016.7584873",
language = "English",
isbn = "978-952-68397-7-6, 978-952-68397-6-9",
pages = "71--80",
booktitle = "Proceedings of the International FRUCT Conference on Intelligence, Social Media and Web (ISMW FRUCT 2016)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
address = "United States",
note = "2016 International FRUCT Conference on Intelligence, Social Media and Web, ISMW FRUCT 2016 ; Conference date: 28-08-2016 Through 04-09-2016",

}

RIS

TY - GEN

T1 - Discovering geo-magnetic anomalies: a clustering-based approach

AU - Volzhina, Elena

AU - Chudin, Andrei

AU - Novikov, Boris

AU - Grafeeva, Natalia

AU - Mikhailova, Elena

PY - 2016

Y1 - 2016

N2 - The paper investigates the application of clustering algorithms to data obtained by magnetometry in the places of archaeological excavations. The goal was to enable automatic detection in order to find possible anomalies in the data that could indicate the presence of potential archeological sites. Analysis of the results of following experiments with clustering algorithms is presented: d48c;-means, d484;-means and DBScan. The algorithms were run on a number of datasets, and visual assessment by experts confirmed the high level of accuracy of the results.

AB - The paper investigates the application of clustering algorithms to data obtained by magnetometry in the places of archaeological excavations. The goal was to enable automatic detection in order to find possible anomalies in the data that could indicate the presence of potential archeological sites. Analysis of the results of following experiments with clustering algorithms is presented: d48c;-means, d484;-means and DBScan. The algorithms were run on a number of datasets, and visual assessment by experts confirmed the high level of accuracy of the results.

KW - magnetometry

KW - clustering algorithms

U2 - 10.1109/FRUCT.2016.7584873

DO - 10.1109/FRUCT.2016.7584873

M3 - Conference contribution

SN - 978-952-68397-7-6, 978-952-68397-6-9

SP - 71

EP - 80

BT - Proceedings of the International FRUCT Conference on Intelligence, Social Media and Web (ISMW FRUCT 2016)

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2016 International FRUCT Conference on Intelligence, Social Media and Web

Y2 - 28 August 2016 through 4 September 2016

ER -

ID: 7596179