{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,16]],"date-time":"2026-01-16T18:22:25Z","timestamp":1768587745896,"version":"3.49.0"},"reference-count":33,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2018,12,1]],"date-time":"2018-12-01T00:00:00Z","timestamp":1543622400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"DOI":"10.13039\/501100002322","name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002322","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003593","name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003593","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004809","name":"Financiadora de Estudos e Projetos","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004901","name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de Minas Gerais","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004901","id-type":"DOI","asserted-by":"publisher"}]},{"name":"MasWeb"},{"name":"InWeb"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2018,12,1]]},"DOI":"10.1109\/tkde.2018.2820051","type":"journal-article","created":{"date-parts":[[2018,3,27]],"date-time":"2018-03-27T19:07:37Z","timestamp":1522177657000},"page":"2242-2256","source":"Crossref","is-referenced-by-count":22,"title":["A Thorough Evaluation of Distance-Based Meta-Features for Automated Text Classification"],"prefix":"10.1109","volume":"30","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2973-4158","authenticated-orcid":false,"given":"Sergio","family":"Canuto","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Daniel Xavier","family":"Sousa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2075-3363","authenticated-orcid":false,"given":"Marcos Andre","family":"Goncalves","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7117-3994","authenticated-orcid":false,"given":"Thierson Couto","family":"Rosa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref33","first-page":"95","article-title":"SPEA2: Improving the strength pareto evolutionary algorithm for multiobjective optimization","author":"zitzler","year":"2001","journal-title":"Proc EUROGEN"},{"key":"ref32","first-page":"856","article-title":"Feature selection for high-dimensional data: A fast correlation-based filter solution","author":"yu","year":"2003","journal-title":"Proc Int Conf Int Conf Mach Learn"},{"key":"ref31","first-page":"412","article-title":"A comparative study on feature selection in text categorization","author":"yang","year":"1997","journal-title":"Proc 14th Int Conf Mach Learn"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-011-5270-7"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/1835449.1835503"},{"key":"ref11","first-page":"359","article-title":"Correlation-based feature selection for discrete and numeric class machine learning","author":"hall","year":"2000","journal-title":"Proc 17th Int Conf Mach Learn"},{"key":"ref12","author":"hastie","year":"2003","journal-title":"The Elements of Statistical Learning"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.5120\/3358-4633"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"1457","DOI":"10.1109\/TKDE.2006.180","article-title":"Some effective techniques for naive bayes text classification","volume":"18","author":"kim","year":"2006","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"ref15","first-page":"129","article-title":"The feature selection problem: Traditional methods and a new algorithm","author":"kira","year":"1992","journal-title":"Proc Nat Conf Artif Intell"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/1277741.1277918"},{"key":"ref17","article-title":"Combining clustering with classification for spam detection in social bookmarking systems","author":"kyriakopoulou","year":"2008"},{"key":"ref18","first-page":"763","article-title":"Proposing a new term weighting scheme for text categorization","author":"lan","year":"2006","journal-title":"Proc 21st Nat Conf Artif Intell"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-44719-9_13"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1023\/A:1009982220290"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/2661829.2662060"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/2.294849"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"333","DOI":"10.1145\/2766462.2767743","article-title":"Efficient and scalable metafeature-based document classification using massively parallel computing","author":"canuto","year":"2015","journal-title":"Proc Int ACM SIGIR Conf Res Develop Inf Retrieval"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1002\/(SICI)1099-1360(199801)7:1<34::AID-MCDA161>3.0.CO;2-6"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/383952.383975"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.tcs.2011.02.016"},{"key":"ref8","first-page":"1871","article-title":"LIBLINEAR: A library for large linear classification","volume":"9","author":"fan","year":"2008","journal-title":"J Mach Learn Res"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/JCDL.2014.6970169"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/2835776.2835821"},{"key":"ref9","author":"fisher","year":"1925","journal-title":"Statistical Methods for Research Workers"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010933404324"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/2792984"},{"key":"ref22","first-page":"319","article-title":"A probabilistic approach to feature selection - a filter solution","author":"liu","year":"1996","journal-title":"Proc 13th Int Conf Mach Learn"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TAI.1995.479783"},{"key":"ref24","first-page":"2825","article-title":"Scikit-learn: Machine learning in Python","volume":"12","author":"pedregosa","year":"2011","journal-title":"J Mach Learn Res"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-014-0358-x"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/2983323.2983792"},{"key":"ref25","first-page":"514","article-title":"Using unlabelled data for text classification through addition of cluster parameters","author":"raskutti","year":"2002","journal-title":"Proc 9th Int Conf Mach Learn"}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/69\/8525379\/08326556.pdf?arnumber=8326556","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,17]],"date-time":"2022-08-17T04:03:16Z","timestamp":1660708996000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8326556\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,12,1]]},"references-count":33,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tkde.2018.2820051","relation":{},"ISSN":["1041-4347","1558-2191","2326-3865"],"issn-type":[{"value":"1041-4347","type":"print"},{"value":"1558-2191","type":"electronic"},{"value":"2326-3865","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,12,1]]}}}