Project deliverable Open Access
Data mining tools
Flavio Cannavò;
Mathjis Koymans;
Daniele Carbone;
Eleonora Rivalta;
Mehdi Nikkhoo;
Elske De Zeeuw-Van Dalfsen
This is deliverable 4.2 – Data mining tools – of the H2020 FET-Open project NEWTON-g (GA No 801221). The work described here was carried out in the framework of WP4 (Data analysis). D4.2 presents the “data mining” software tools that have been developed to automatically detect meaningful anomalies in the dataset produced by the NEWTON-g's gravity imager.
Files
(2.0 MB)
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NEWTON-g_D4.2_DMT_07092020.pdf
md5:3892442b439b5a2823a12171a5f06a7a |
2.0 MB | Download |
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| Views | 92 | 92 |
| Downloads | 103 | 103 |
| Data volume | 203.1 MB | 203.1 MB |
| Unique views | 86 | 86 |
| Unique downloads | 92 | 92 |
Indexed in
- Publication date:
- December 20, 2020
- DOI:
-
- Keyword(s):
- data mining tools gravity time series MEMS gravimeter quantum gravimeter
- Grants:
-
European Commission:
- NEWTON-g - New Tools for Terrain Gravimetry (801221)
- License (for files):
- Creative Commons Attribution 4.0 International