TY - JOUR N2 - The use of quantitative methods, including stochastic and exploratory techniques in environmental studies does not seem to be sufficient in practical aspects. There is no comprehensive analytical system dedicated to this issue, as well as research regarding this subject. The aim of this study is to present the Eco Data Miner system, its idea, construction and implementation possibility to the existing environmental information systems. The methodological emphasis was placed on the one-dimensional data quality assessment issue in terms of using the proposed QAAH1 method - using harmonic model and robust estimators beside the classical tests of outlier values with their iterative expansions. The results received demonstrate both the complementarity of proposed classical methods solution as well as the fact that they allow for extending the range of applications significantly. The practical usefulness is also highly significant due to the high effectiveness and numerical efficiency as well as simplicity of using this new tool. L1 - http://www.journals.pan.pl/Content/85887/PDF/10265-Volume39-Issue4-paper_11.pdf L2 - http://www.journals.pan.pl/Content/85887 PY - 2013 IS - No 4 DO - 10.2478/aep-2013-0041 KW - air pollutants KW - data quality analysis KW - Data Mining KW - estimation KW - exploratory methods KW - harmonic KW - principal component analysis KW - statistical tests for outliers KW - influential KW - leverage observations KW - analytical software system KW - programming KW - EDM KW - Winsorized mean KW - Cook KW - Mahalanobis distance KW - DFITS KW - COVRATIO A1 - Czechowski, Piotr A1 - Badyda, Artur A1 - Majewski, Grzegorz PB - Polish Academy of Sciences VL - vol. 39 DA - 2013 T1 - Data Mining System for Air Quality Monitoring Networks UR - http://www.journals.pan.pl/dlibra/publication/edition/85887 T2 - Archives of Environmental Protection ER -