{"id":"https://openalex.org/W2742485105","doi":"https://doi.org/10.23919/icif.2017.8009788","title":"Uncertain data classification based on the fusion of local and global information","display_name":"Uncertain data classification based on the fusion of local and global information","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2742485105","doi":"https://doi.org/10.23919/icif.2017.8009788","mag":"2742485105"},"language":"en","primary_location":{"id":"doi:10.23919/icif.2017.8009788","is_oa":false,"landing_page_url":"https://doi.org/10.23919/icif.2017.8009788","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 20th International Conference on Information Fusion (Fusion)","raw_type":"proceedings-article"},"type":"article","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/A5038197310","display_name":"Zhunga Liu","orcid":"https://orcid.org/0000-0001-7144-7449"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]},{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhun-ga Liu","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China","School of Automation, Northwestern Polytechnical University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047383541","display_name":"Ping Zhou","orcid":"https://orcid.org/0000-0002-9398-172X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping Zhou","raw_affiliation_strings":["School of Automation, Northwestern Polytechnical University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101509529","display_name":"You He","orcid":"https://orcid.org/0000-0002-6111-340X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"You He","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108517562","display_name":"Quan Pan","orcid":"https://orcid.org/0000-0001-8162-2896"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quan Pan","raw_affiliation_strings":["School of Automation, Northwestern Polytechnical University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5038197310"],"corresponding_institution_ids":["https://openalex.org/I17145004","https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13505311,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.996399998664856,"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":0.996399998664856,"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/T10057","display_name":"Face and Expression Recognition","score":0.9812999963760376,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.9779000282287598,"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/confusion-matrix","display_name":"Confusion matrix","score":0.9082868099212646},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.7893797755241394},{"id":"https://openalex.org/keywords/confusion","display_name":"Confusion","score":0.6704384088516235},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6681970357894897},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6420934796333313},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6224462985992432},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5446793437004089},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.42885932326316833},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3512321710586548}],"concepts":[{"id":"https://openalex.org/C138602881","wikidata":"https://www.wikidata.org/wiki/Q2709591","display_name":"Confusion matrix","level":2,"score":0.9082868099212646},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7893797755241394},{"id":"https://openalex.org/C2781140086","wikidata":"https://www.wikidata.org/wiki/Q557945","display_name":"Confusion","level":2,"score":0.6704384088516235},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6681970357894897},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6420934796333313},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6224462985992432},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5446793437004089},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.42885932326316833},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3512321710586548},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/icif.2017.8009788","is_oa":false,"landing_page_url":"https://doi.org/10.23919/icif.2017.8009788","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 20th International Conference on Information Fusion (Fusion)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6399999856948853,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1538372379","https://openalex.org/W1554663460","https://openalex.org/W1966333039","https://openalex.org/W1987853038","https://openalex.org/W1987929427","https://openalex.org/W2008535418","https://openalex.org/W2016648380","https://openalex.org/W2029169022","https://openalex.org/W2040895929","https://openalex.org/W2062458928","https://openalex.org/W2064639303","https://openalex.org/W2065433699","https://openalex.org/W2083143867","https://openalex.org/W2152065005","https://openalex.org/W2160767978","https://openalex.org/W2403746960","https://openalex.org/W2623293810","https://openalex.org/W4236137412","https://openalex.org/W4239510810","https://openalex.org/W4388297464","https://openalex.org/W6632312326"],"related_works":["https://openalex.org/W4366202965","https://openalex.org/W1969293528","https://openalex.org/W2349679704","https://openalex.org/W2899196211","https://openalex.org/W4389633859","https://openalex.org/W2570625548","https://openalex.org/W2144192793","https://openalex.org/W3201472348","https://openalex.org/W4280636088","https://openalex.org/W3024862996"],"abstract_inverted_index":{"In":[0,25],"the":[1,6,12,19,30,40,45,49,74,87,91,103,128,133,137,148,152,159,181,194,198,209,222,225,236,244],"complex":[2],"pattern":[3,92],"classification":[4,31,134,150,188,245],"problem,":[5],"reliability":[7],"of":[8,18,48,73,90,136,211,224],"classifier":[9,42,50,75],"output":[10,43],"for":[11],"patterns":[13,165],"located":[14],"at":[15],"different":[16,53,68,124],"regions":[17],"data":[20,57,139,230],"set":[21,58],"may":[22],"be":[23,60,144,170,191,206],"different.":[24],"order":[26],"to":[27,38,67,94,99,126,147,220,241],"efficiently":[28,242],"improve":[29,243],"accuracy,":[32],"we":[33],"propose":[34],"a":[35,83],"new":[36,237],"method":[37,227,238],"correct":[39],"original":[41],"using":[44,118,228],"local":[46,212],"knowledge":[47,72],"performance":[51,76,223],"in":[52,140,166,180],"regions.":[54,69],"The":[55,70,105,201],"training":[56,119,138],"can":[59,143,205],"divided":[61],"into":[62],"some":[63],"small":[64],"clusters":[65],"corresponding":[66],"prior":[71],"on":[77],"each":[78,109,175],"cluster":[79,110,142,168,182],"is":[80,111,122,162,239],"characterized":[81],"by":[82,102,113,193],"confusion":[84,154,160,185],"matrix":[85,106,155,161,195],"representing":[86],"conditional":[88],"probability":[89],"belonging":[93],"one":[95,141],"class":[96,101,199],"but":[97],"committed":[98],"another":[100],"classifier.":[104],"associated":[107,153],"with":[108,183,248],"learnt":[112],"minimizing":[114],"an":[115],"error":[116],"criteria":[117],"data,":[120],"which":[121],"assigned":[123],"weights":[125],"achieve":[127],"highest":[129],"possible":[130],"accuracy.":[131],"If":[132],"accuracy":[135,246],"improved":[145],"according":[146],"corrected":[149,192],"results,":[151],"becomes":[156],"valid.":[157],"Otherwise,":[158],"invalid":[163],"and":[164,213,232],"this":[167],"cannot":[169],"modified":[171],"any":[172],"more.":[173],"For":[174],"object,":[176],"if":[177],"it":[178,233],"lies":[179],"valid":[184],"matrix,":[186],"its":[187],"result":[189],"will":[190],"before":[196],"making":[197],"decision.":[200],"above":[202],"correction":[203],"process":[204],"regarded":[207],"as":[208],"fusion":[210],"global":[214],"information.":[215],"Several":[216],"experiments":[217],"are":[218],"given":[219],"test":[221],"proposed":[226],"real":[229],"sets,":[231],"shows":[234],"that":[235],"able":[240],"compared":[247],"other":[249],"related":[250],"methods.":[251]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
