{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,2]],"date-time":"2025-08-02T17:50:17Z","timestamp":1754157017836,"version":"3.41.2"},"reference-count":15,"publisher":"Emerald","issue":"10","license":[{"start":{"date-parts":[[2009,10,16]],"date-time":"2009-10-16T00:00:00Z","timestamp":1255651200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2009,10,16]]},"abstract":"<jats:sec><jats:title content-type=\"abstract-heading\">Purpose<\/jats:title><jats:p>The purpose of this paper is to select the main impact factors of environment change automatically and identify and analyze the potential environmental impact factors with time delay by computer simulation, analyzing the impact rate of environmental impact factors. Then, the environmental impact factors analysis decision support system based on self\u2010organizing data mining model is designed.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Design\/methodology\/approach<\/jats:title><jats:p>Applying data mining methods in the analysis and decision making of regional environmental impact factors will have broad perspective. Self\u2010organization data mining is a new modeling method of complex systems modeling with strong modeling capability. It was first presented by A.G. Ivakhnenko, based on the principle of self\u2010organization of biological cybernetics and Kolmogoorov\u2010Gabor polynomial function. In this paper, the impact factors of regional environment quality evolution based on self\u2010organization data mining method is studied, selecting the main impact factors of environment change automatically by computer simulation, analyzing the impact contribution rate of environmental impact factors.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Findings<\/jats:title><jats:p>The environmental impact factors analysis decision support system based on self\u2010organizing data mining model is designed.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Research limitations\/implications<\/jats:title><jats:p>Accessibility and availability of data are the main limitations affecting which model will be applied.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Practical implications<\/jats:title><jats:p>The paper has important theoretical and practical significance for the sustainable development of regional environment, resource, economy system and the constitution of environmental protection and management measures.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Originality\/value<\/jats:title><jats:p>This paper not only exploits new application domains of self\u2010organization data mining, but also explores new ways for regional environment impact factors analysis.<\/jats:p><\/jats:sec>","DOI":"10.1108\/03684920910994376","type":"journal-article","created":{"date-parts":[[2009,11,14]],"date-time":"2009-11-14T07:01:07Z","timestamp":1258182067000},"page":"1843-1848","source":"Crossref","is-referenced-by-count":1,"title":["Self\u2010organizing data mining research on the decision support system for environmental evolution analysis"],"prefix":"10.1108","volume":"38","author":[{"given":"Zhang","family":"Shuhong","sequence":"first","affiliation":[]},{"given":"Chen","family":"Mianyun","sequence":"additional","affiliation":[]}],"member":"140","reference":[{"key":"key2022032120182278800_b2","doi-asserted-by":"crossref","unstructured":"Andrew, J., Tillman, U. and Richard, B. 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