Publication details

Is On-Line Data Analysis Safety? Pitfalls Steaming from Automated Processing of Heterogeneous Environmental Data and Possible Solutions

Authors

JARKOVSKÝ Jiří DUŠEK Ladislav JANOUŠOVÁ Eva

Year of publication 2011
Type Article in Proceedings
Conference Environmental Software Systems: Frameworks of Environment, IFIP Advances in Information and Communication Technology, vol. 359
MU Faculty or unit

Faculty of Medicine

Citation
Field Other medical specializations
Keywords classification; nonparametric multivariate analysis; heterogeneous data
Description 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.

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