{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,12,24]],"date-time":"2024-12-24T05:07:04Z","timestamp":1735016824858,"version":"3.32.0"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643685694","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,12,20]],"date-time":"2024-12-20T00:00:00Z","timestamp":1734652800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,12,20]]},"abstract":"<jats:p>Using the classification-based data mining approach, this study aims to model annual CO2 emission (A-CO2 E) per capital for Asian countries. The dataset collected for the model contains 1287 cases from year 1985 to 2022 with 41 countries involved. The original dataset was granulated to investigate existence of noise label to ensure usefulness, followed by selecting the best one with highest classification accuracy (CA) and robustness (AUC) among five classifiers. Demographics of variables and generated decision rules are presented. Main findings are as follows. (1) Tree-based model reveals the best classifier with CA 0.9067 and AUC 0.962, (2) Country code presents the highest classification power of level of A-CO2 E, showing an individual sign leading to the level of A-CO2 E, (3) The A-CO2 E of some countries higher than that of the World oscillate as year goes, (4) Asian averages of A-CO2 E from 5.8405 (1985) to 7.2950 (2022) are higher than that of the World after year 2000, but this trend likely goes flat, signifying that Asian countries increasingly put efforts on reducing A-CO2 E while increasing GDP.<\/jats:p>","DOI":"10.3233\/faia241419","type":"book-chapter","created":{"date-parts":[[2024,12,23]],"date-time":"2024-12-23T09:48:30Z","timestamp":1734947310000},"source":"Crossref","is-referenced-by-count":0,"title":["A Data Mining Approach to Modeling Annual CO2 Emission Per Capital for Asian Countries"],"prefix":"10.3233","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1331-8790","authenticated-orcid":false,"given":"ChienHsing","family":"Wu","sequence":"first","affiliation":[{"name":"National University of Kaohsiung, Taiwan"}]},{"given":"Shu-Chen","family":"Kao","sequence":"additional","affiliation":[{"name":"Kun Shan University, Taiwan"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Fuzzy Systems and Data Mining X"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA241419","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,23]],"date-time":"2024-12-23T09:48:30Z","timestamp":1734947310000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA241419"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,20]]},"ISBN":["9781643685694"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia241419","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,12,20]]}}}