{"id":"https://openalex.org/W2047186225","doi":"https://doi.org/10.1109/icnc.2010.5583274","title":"Assessment of surface contamination condition of insulator based on attribute reduction algorithm of rough sets and least squares support vector machine","display_name":"Assessment of surface contamination condition of insulator based on attribute reduction algorithm of rough sets and least squares support vector machine","publication_year":2010,"publication_date":"2010-08-01","ids":{"openalex":"https://openalex.org/W2047186225","doi":"https://doi.org/10.1109/icnc.2010.5583274","mag":"2047186225"},"language":"en","primary_location":{"id":"doi:10.1109/icnc.2010.5583274","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc.2010.5583274","pdf_url":null,"source":{"id":"https://openalex.org/S4363608012","display_name":"2010 Sixth International Conference on Natural Computation","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 Sixth International Conference on Natural Computation","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083262932","display_name":"Shangbin Jiao","orcid":"https://orcid.org/0000-0002-1858-2075"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shangbin Jiao","raw_affiliation_strings":["Department of Automation of Engineering, Xi''an University of Technology, Xi'an, China","Dept. of Automation of Engineering, Xi'an University of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation of Engineering, Xi''an University of Technology, Xi'an, China","institution_ids":["https://openalex.org/I4210131919"]},{"raw_affiliation_string":"Dept. of Automation of Engineering, Xi'an University of Technology, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101522028","display_name":"Ding Liu","orcid":"https://orcid.org/0000-0002-2070-9661"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ding Liu","raw_affiliation_strings":["Department of Automation of Engineering, Xi''an University of Technology, Xi'an, China","Dept. of Automation of Engineering, Xi'an University of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation of Engineering, Xi''an University of Technology, Xi'an, China","institution_ids":["https://openalex.org/I4210131919"]},{"raw_affiliation_string":"Dept. of Automation of Engineering, Xi'an University of Technology, China","institution_ids":["https://openalex.org/I4210131919"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210131919"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"43","issue":null,"first_page":"858","last_page":"863"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14262","display_name":"Extenics and Innovation Methods","score":0.9596999883651733,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.9559000134468079,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.8280919790267944},{"id":"https://openalex.org/keywords/contamination","display_name":"Contamination","score":0.6366291046142578},{"id":"https://openalex.org/keywords/least-squares-support-vector-machine","display_name":"Least squares support vector machine","score":0.5316750407218933},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5181423425674438},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5045243501663208},{"id":"https://openalex.org/keywords/radial-basis-function-kernel","display_name":"Radial basis function kernel","score":0.45893949270248413},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4572434723377228},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.42699533700942993},{"id":"https://openalex.org/keywords/decision-table","display_name":"Decision table","score":0.4213341772556305},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4193381667137146},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41419684886932373},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4009564220905304},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.389255166053772},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3550516963005066},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.26683276891708374}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8280919790267944},{"id":"https://openalex.org/C112570922","wikidata":"https://www.wikidata.org/wiki/Q60528603","display_name":"Contamination","level":2,"score":0.6366291046142578},{"id":"https://openalex.org/C145828037","wikidata":"https://www.wikidata.org/wiki/Q17086219","display_name":"Least squares support vector machine","level":3,"score":0.5316750407218933},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5181423425674438},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5045243501663208},{"id":"https://openalex.org/C75866337","wikidata":"https://www.wikidata.org/wiki/Q7280263","display_name":"Radial basis function kernel","level":4,"score":0.45893949270248413},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4572434723377228},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.42699533700942993},{"id":"https://openalex.org/C172967692","wikidata":"https://www.wikidata.org/wiki/Q747762","display_name":"Decision table","level":3,"score":0.4213341772556305},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4193381667137146},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41419684886932373},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4009564220905304},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.389255166053772},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3550516963005066},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.26683276891708374},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnc.2010.5583274","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc.2010.5583274","pdf_url":null,"source":{"id":"https://openalex.org/S4363608012","display_name":"2010 Sixth International Conference on Natural Computation","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 Sixth International Conference on Natural Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1541251032","https://openalex.org/W1596717185","https://openalex.org/W2020148590","https://openalex.org/W2123176339","https://openalex.org/W2152693096","https://openalex.org/W2156909104","https://openalex.org/W2351685342","https://openalex.org/W2381678562","https://openalex.org/W2391981756","https://openalex.org/W4236741334"],"related_works":["https://openalex.org/W1968977907","https://openalex.org/W2472455248","https://openalex.org/W3013418296","https://openalex.org/W1762865978","https://openalex.org/W2379959492","https://openalex.org/W2142981909","https://openalex.org/W2354227702","https://openalex.org/W2380686565","https://openalex.org/W2392716952","https://openalex.org/W2169520161"],"abstract_inverted_index":{"A":[0],"model":[1],"of":[2,5,9,16,47,54,62,103,131,144,148,172,176],"the":[3,14,31,44,48,59,87,91,95,99,104,109,121,129,142,153,158,170],"assessment":[4,63,117,143,173],"surface":[6,145],"contamination":[7,64,96,115,146,174],"condition":[8,65,116,147,175],"insulator":[10,149],"was":[11,77,112,118],"investigated":[12],"by":[13,52,120],"method":[15,130],"combining":[17,132],"rough":[18],"sets":[19],"(RS)":[20],"theory":[21],"and":[22,33,43,68,85,98,108,114,134,138,157],"least":[23],"squares":[24],"support":[25],"vector":[26],"machine":[27],"(LS-SVM).":[28],"According":[29],"to":[30,83],"lab":[32],"field":[34],"data,":[35],"a":[36,69,80],"attribute":[37,55],"decision":[38,71],"table":[39,72,76],"is":[40,50,66,73,136],"built":[41],"up":[42],"redundant":[45],"attributes":[46],"data":[49],"deducted":[51],"means":[53],"reduction":[56],"algorithm,":[57],"thus":[58,90],"kernel":[60,160,167],"factors":[61,111],"determined":[67],"new":[70],"formed.":[74],"The":[75],"acted":[78],"as":[79],"learning":[81],"sample":[82],"train":[84],"construct":[86],"LS-SVM":[88,123,135,155],"multi-classifier,":[89],"mapping":[92],"relationship":[93],"between":[94],"classes":[97],"electric":[100],"character":[101],"variables":[102],"leakage":[105],"current":[106],"(LC)":[107],"environment":[110],"formed":[113],"realized":[119],"trained":[122],"multi-classifier.":[124],"Experiment":[125],"results":[126],"show":[127],"that":[128],"RS":[133],"faster":[137],"more":[139,163],"accurate":[140,164],"for":[141,169],"in":[150],"compare":[151],"with":[152],"traditional":[154],"classifiers,":[156],"RBF":[159],"function":[161,168],"has":[162],"than":[165],"polynomial":[166],"problem":[171],"insulator.":[177]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}