{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,22]],"date-time":"2025-02-22T05:28:50Z","timestamp":1740202130122,"version":"3.37.3"},"reference-count":0,"publisher":"IOS Press","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"abstract":"<jats:p>This paper first selects four layers of economic benefits, the economic movement quality, economic growth and industrial structure to screen audition indicators. Then data mining is performed to collect data from 2002 to 2013 from Beijing, Tianjin, Hebei (three provinces in China). Combined with a statistical method of correlation analysis and principal component analysis, the index with redundant information is deleted. Finally, this approach builds a highly representative economic development evaluation system.<\/jats:p>","DOI":"10.3233\/978-1-61499-619-4-354","type":"book-chapter","created":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T10:27:05Z","timestamp":1740133625000},"source":"Crossref","is-referenced-by-count":0,"title":["Construction of Economic Evaluation Index System Based on Primary Information and Evidence of Three Provinces: Beijing, Tianjin and Hebei, China"],"prefix":"10.3233","author":[{"family":"Du Yong-Qiang","sequence":"additional","affiliation":[]},{"family":"Hu Jing-Jing","sequence":"additional","affiliation":[]},{"family":"Lu Zhi-Yi","sequence":"additional","affiliation":[]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Fuzzy System and Data Mining"],"original-title":[],"deposited":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T11:38:08Z","timestamp":1740137888000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.medra.org\/servlet\/aliasResolver?alias=iospressISBN&isbn=978-1-61499-618-7&spage=354&doi=10.3233\/978-1-61499-619-4-354"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/978-1-61499-619-4-354","relation":{},"ISSN":["0922-6389"],"issn-type":[{"value":"0922-6389","type":"print"}],"subject":[],"published":{"date-parts":[[2016]]}}}