{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T10:21:20Z","timestamp":1763202080087},"reference-count":55,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"8","license":[{"start":{"date-parts":[[2018,8,1]],"date-time":"2018-08-01T00:00:00Z","timestamp":1533081600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"name":"S\u00e3o Paulo State Research Foundation\u2013FAPESP","award":["2012\/07926-3","2015\/50122-0","2013\/07375-0"],"award-info":[{"award-number":["2012\/07926-3","2015\/50122-0","2013\/07375-0"]}]},{"name":"Brazilian Coordination for the Improvement of Higher Education-CAPES"},{"name":"Brazilian National Council for Scientific and Technological Development\u2013CNPq"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2018,8]]},"DOI":"10.1109\/tnnls.2017.2726082","type":"journal-article","created":{"date-parts":[[2017,8,1]],"date-time":"2017-08-01T18:30:55Z","timestamp":1501612255000},"page":"3361-3373","source":"Crossref","is-referenced-by-count":23,"title":["Organizational Data Classification Based on the Importance Concept of Complex Networks"],"prefix":"10.1109","volume":"29","member":"263","reference":[{"key":"ref39","author":"langville","year":"2011","journal-title":"Google&#x2019;s PageRank and Beyond The Science of Search Engine Rankings"},{"key":"ref38","article-title":"The pagerank citation ranking: Bringing order to the Web","author":"page","year":"1999"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1186\/1678-4804-20-14"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2014.09.048"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2012.2195027"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2013.05.016"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2012.10.007"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/279943.279962"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-17290-3"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2014.6889407"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2011.2181413"},{"key":"ref27","article-title":"Semi-supervised learning literature survey","author":"zhu","year":"2008"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2011.07.043"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1038\/nrg3920"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1201\/b17320"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1080\/00018732.2011.572452"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1093\/acprof:oso\/9780199206650.001.0001"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.physrep.2009.11.002"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2011.2181866"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1162\/089976603321780317"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2007.250598"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/9780262033589.001.0001"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-31537-4_13"},{"key":"ref51","first-page":"1","article-title":"Statistical comparisons of classifiers over multiple data sets","volume":"7","author":"dem\u0161ar","year":"2006","journal-title":"J Mach Learn Res"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1002\/spe.4380211102"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-21073-0_38"},{"key":"ref53","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"van der maaten","year":"2008","journal-title":"J Mach Learn Res"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1016\/S0933-3657(01)00082-3"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010933404324"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-94-017-2053-3"},{"key":"ref40","first-page":"496","article-title":"Link-based classification","author":"lu","year":"2003","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2015.2461552"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-3264-1"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2014.2333664"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1137\/S003614450342480"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1038\/30918"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"509","DOI":"10.1126\/science.286.5439.509","article-title":"Emergence of scaling in random networks","volume":"286","author":"barab\u00e1si","year":"1999","journal-title":"Science"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1103\/RevModPhys.74.47"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.75.045102"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.asr.2015.04.017"},{"key":"ref3","author":"bishop","year":"2006","journal-title":"Pattern Recognition and Machine Learning"},{"key":"ref6","doi-asserted-by":"crossref","first-page":"430","DOI":"10.1109\/TNNLS.2014.2315296","article-title":"ML-TREE: A tree-structure-based approach to multilabel learning","volume":"26","author":"wu","year":"2015","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2015.2497318"},{"key":"ref8","author":"haykin","year":"2009","journal-title":"Neural Networks and Learning Machines"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2014.2329240"},{"key":"ref49","first-page":"255","article-title":"KEEL data-mining software tool: Data set repository, integration of algorithms and experimental analysis framework","volume":"17","author":"alcal\u00e1-fdez","year":"2011","journal-title":"J Multiple-Valued Logic Soft Comput"},{"key":"ref9","author":"nielsen","year":"2007","journal-title":"Bayesian Networks and Decision Graphs"},{"key":"ref46","first-page":"2825","article-title":"Scikit-learn: Machine learning in Python","volume":"12","author":"pedregosa","year":"2011","journal-title":"J Mach Learn Res"},{"key":"ref45","first-page":"1989","article-title":"Fast approximate kNN graph construction for high dimensional data via recursive Lanczos bisection","volume":"10","author":"chen","year":"2009","journal-title":"J Mach Learn Res"},{"key":"ref48","author":"frank","year":"2010","journal-title":"UCI Machine Learning Repository"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1145\/1961189.1961199"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1145\/2339530.2339628"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.physa.2013.07.021"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.87.198701"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1145\/1060745.1060827"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/8417016\/07999257.pdf?arnumber=7999257","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T16:23:11Z","timestamp":1642004591000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/7999257\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,8]]},"references-count":55,"journal-issue":{"issue":"8"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2017.2726082","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,8]]}}}