Model Mining of Multivariate Heterogeneous Time-Varying Data using Heterogeneous Neurons: Its Potential in the Study of Geological Hazards

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TypeArticle
ConferenceProceedings of the 2003 Annual Conference of the International Association for Mathematical Geology (IAMG 2003), September 7-12, 2003., Portsmouth, UK
AbstractProcessing heterogeneous information is necessary in many domains, but it is specially important in the study of complex systems like geologic phenomena responsible for natural hazards. The developments in sensor, communication and computer technologies allows the monitoring and storage of different geophysical, geochemical and geological variables on a continuous base. In addition, field observation and laboratory analysis incorporate more information, also changing with time. Some of the problems associated with these large masses of information are: (a) the presence of heterogeneous variables (i.e. ratio, interval, nominal, ordinal, and other more complex like images, spectra, etc.), (b) the uncertainty associated with the observed variables in terms of observation or measurement errors, vagueness, subjectivity, etc, and (c) the incompleteness due to monitoring gaps, irregular sampling frequencies and missing data.
Publication date
LanguageEnglish
AffiliationNRC Institute for Information Technology; National Research Council Canada
Peer reviewedNo
NRC number46515
NPARC number5763590
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Record identifier8474ebc8-fece-44c4-be18-8076d5433210
Record created2009-03-29
Record modified2016-05-09
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