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@inproceedings{947162,
author = {Jarkovský, Jiří and Dušek, Ladislav and Janoušová, Eva},
address = {Neuveden},
booktitle = {Environmental Software Systems: Frameworks of Environment, IFIP Advances in Information and Communication Technology, vol. 359},
editor = {Jiří Hřebíček, Gerald Schimak, Ralf Denzer},
keywords = {classification; nonparametric multivariate analysis; heterogeneous data},
howpublished = {paměťový nosič},
language = {eng},
location = {Neuveden},
isbn = {978-3-642-22284-9},
pages = {486-490},
publisher = {Springer},
title = {Is On-Line Data Analysis Safety? Pitfalls Steaming from Automated Processing of Heterogeneous Environmental Data and Possible Solutions},
year = {2011}
}
TY - JOUR
ID - 947162
AU - Jarkovský, Jiří - Dušek, Ladislav - Janoušová, Eva
PY - 2011
TI - Is On-Line Data Analysis Safety? Pitfalls Steaming from Automated Processing of Heterogeneous Environmental Data and Possible Solutions
PB - Springer
CY - Neuveden
SN - 9783642222849
KW - classification
KW - nonparametric multivariate analysis
KW - heterogeneous data
N2 - The current situation in environmental monitoring is characterized by increasing amount of data from monitoring networks together with increasing requirements on joining of these data from various sources in comprehensive databases and their usage for decision support in environmental protection and management. The automated analysis of such a heterogeneous datasets is a complicated process, rich in statistical pitfalls. There is a number of methods for multivariate classification of objects, e.g. logistic regression, discriminant analysis or neural networks; however, most of commonly used classification techniques have prerequisites about distribution of data, are computationally demanding or their model can be considered as “black box”. Keeping these facts in mind, we attempted to develop a robust multivariate method suitable for classification of unknown cases with minimum sensitivity to data distribution problems; and thus, suitable for routine use in practice.
ER -
JARKOVSKÝ, Jiří, Ladislav DUŠEK and Eva JANOUŠOVÁ. Is On-Line Data Analysis Safety? Pitfalls Steaming from Automated Processing of Heterogeneous Environmental Data and Possible Solutions. In Jiří Hřebíček, Gerald Schimak, Ralf Denzer. \textit{Environmental Software Systems: Frameworks of Environment, IFIP Advances in Information and Communication Technology, vol. 359}. Neuveden: Springer. p.~486-490. ISBN~978-3-642-22284-9. 2011.
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