{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T02:24:17Z","timestamp":1778811857264,"version":"3.51.4"},"reference-count":15,"publisher":"IEEE","license":[{"start":{"date-parts":[[2018,10,1]],"date-time":"2018-10-01T00:00:00Z","timestamp":1538352000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2018,10,1]],"date-time":"2018-10-01T00:00:00Z","timestamp":1538352000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,10]]},"DOI":"10.1109\/icsens.2018.8589580","type":"proceedings-article","created":{"date-parts":[[2019,1,18]],"date-time":"2019-01-18T22:13:44Z","timestamp":1547849624000},"page":"1-4","source":"Crossref","is-referenced-by-count":28,"title":["An Effective Gas Sensor Array Optimization Method Based on Random Forest"],"prefix":"10.1109","author":[{"given":"Guangfen","family":"Wei","sequence":"first","affiliation":[{"name":"School of Information &#x0026; Electronic Engineering, Shandong Technology and Business University, Yantai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jie","family":"Zhao","sequence":"additional","affiliation":[{"name":"School of Computer Science &#x0026; Technology, Shandong Technology and Business University, Yantai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zechuan","family":"Yu","sequence":"additional","affiliation":[{"name":"Glasgow College, University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanli","family":"Feng","sequence":"additional","affiliation":[{"name":"School of Computer Science &#x0026; Technology, Shandong Technology and Business University, Yantai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gang","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer Science &#x0026; Technology, Shandong Technology and Business University, Yantai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xue","family":"Sun","sequence":"additional","affiliation":[{"name":"School of Information &#x0026; Electronic Engineering, Shandong Technology and Business University, Yantai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2105-8-25"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.csda.2012.09.020"},{"key":"ref12","article-title":"Variable Selection Using Mean Decrease Accuracy And Mean Decrease Gini Based on Random Forest","author":"han","year":"2016","journal-title":"Software Engineering and Service Science (ICSESS) 2016 7th IEEE International Conference on IEEE"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.csda.2015.10.005"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btq134"},{"key":"ref15","author":"geoffrey","year":"2004","journal-title":"Analyzing Microarray Gene Expression Data"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.jfoodeng.2013.11.017"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.snb.2009.04.029"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.snb.2009.08.015"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.jfoodeng.2007.02.005"},{"key":"ref8","author":"breiman","year":"1984","journal-title":"Classification and Regression Trees"},{"key":"ref7","first-page":"347","article-title":"Chemical sensor array optimization: geometric and information theoretic approaches","author":"pearce","year":"2003","journal-title":"Handbook of Artificial Olfaction Machines"},{"key":"ref2","first-page":"1157","article-title":"An Introduction to Variable and Feature Selection","volume":"3","author":"guyon","year":"2003","journal-title":"Journal of Machine Learning Research"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/0925-4005(94)87085-3"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010933404324"}],"event":{"name":"2018 IEEE SENSORS","location":"New Delhi, India","start":{"date-parts":[[2018,10,28]]},"end":{"date-parts":[[2018,10,31]]}},"container-title":["2018 IEEE SENSORS"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8572682\/8589503\/08589580.pdf?arnumber=8589580","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,10]],"date-time":"2022-10-10T20:22:53Z","timestamp":1665433373000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8589580\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,10]]},"references-count":15,"URL":"https:\/\/doi.org\/10.1109\/icsens.2018.8589580","relation":{},"subject":[],"published":{"date-parts":[[2018,10]]}}}