Publication Date:
2017-04-04
Description:
Time series clustering is an important task in data analysis issues in order to extract implicit, previously unknown,
and potentially useful information froma large collection of data. Finding useful similar trends inmultivariate time
series represents a challenge in several areas including geophysics environment research. While traditional time
series analysis methods deal only with univariate time series, multivariate time series analysis is a more suitable
approach in the field of researchwhere different kinds of data are available. Moreover, the conventional time series
clustering techniques do not provide desired results for geophysical datasets due to the huge amount of data
whose sampling rate is different according to the nature of signal. In this paper, a novel approach concerning geophysical
multivariate time series clustering is proposed using dynamic time series segmentation and Self Organizing
Maps techniques. This method allows finding coupling among trends of different geophysical data
recorded from monitoring networks at Mt. Etna spanning from 1996 to 2003, when the transition from summit
eruptions to flank eruptions occurred. This information can be used to carry out a more careful evaluation of the
state of volcano and to define potential hazard assessment at Mt. Etna.
Description:
Thisworkwas partially funded by INGV
and the DPC-INGV project “Flank”.
Description:
Published
Description:
65-74
Description:
1.5. TTC - Sorveglianza dell'attività eruttiva dei vulcani
Description:
3.6. Fisica del vulcanismo
Description:
JCR Journal
Description:
reserved
Keywords:
data mining
;
features extraction
;
time series clustering
;
self organizing maps
;
Etna
;
summit and flank eruptions
;
04. Solid Earth::04.01. Earth Interior::04.01.99. General or miscellaneous
;
04. Solid Earth::04.01. Earth Interior::04.01.02. Geological and geophysical evidences of deep processes
;
04. Solid Earth::04.02. Exploration geophysics::04.02.99. General or miscellaneous
;
04. Solid Earth::04.03. Geodesy::04.03.99. General or miscellaneous
;
04. Solid Earth::04.06. Seismology::04.06.99. General or miscellaneous
;
04. Solid Earth::04.07. Tectonophysics::04.07.99. General or miscellaneous
;
04. Solid Earth::04.08. Volcanology::04.08.99. General or miscellaneous
;
05. General::05.01. Computational geophysics::05.01.99. General or miscellaneous
;
05. General::05.01. Computational geophysics::05.01.01. Data processing
;
05. General::05.01. Computational geophysics::05.01.04. Statistical analysis
Repository Name:
Istituto Nazionale di Geofisica e Vulcanologia (INGV)
Type:
article
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