Data mining system for air quality monitoring networks

P.O. Czechowski , Artur Jerzy Badyda , G Majewski

Abstract

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.
Author P.O. Czechowski - [Akademia Morska w Gdyni]
P.O. Czechowski,,
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, Artur Jerzy Badyda (FEE / DISEQR)
Artur Jerzy Badyda,,
- Department of Informationa Science and Environment Quality Research
, G Majewski - [Szkola Glowna Gospodarstwa Wiejskiego]
G Majewski,,
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Journal seriesArchives of Environmental Protection, ISSN 2083-4772, [0324-8461]
Issue year2013
Vol39
No4
Pages123-144
Keywords in EnglishAir pollutants; data quality analysis; data mining; estimation; exploratory methods; harmonic; Principal Component Analysis; statistical tests for outliers; influential; leverage observations; analytical software system; programming; EDM; Winsorized mean; Cook; Mahalanobis distance; DFITS; COVRATIO
ASJC Classification2300 General Environmental Science
DOIDOI:10.2478/aep-2013-0041
URL http://www.degruyter.com/view/j/aep.2013.39.issue-4/aep-2013-0041/aep-2013-0041.xml
Languageen angielski
Score (nominal)15
Score sourcejournalList
ScoreMinisterial score = 10.0, 15-09-2020, ArticleFromJournal
Ministerial score (2013-2016) = 15.0, 15-09-2020, ArticleFromJournal
Publication indicators WoS Citations = 5; Scopus Citations = 2; GS Citations = 8.0; Scopus SNIP (Source Normalised Impact per Paper): 2013 = 0.738; WoS Impact Factor: 2013 = 0.901 (2) - 2013=0.619 (5)
Citation count*8 (2020-09-28)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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