{"id":"https://openalex.org/W4283210949","doi":"https://doi.org/10.1109/infocomwkshps54753.2022.9797958","title":"Resolving Conflicts among Unbalanced Multi-Source Data When Multi-Value Objects Exist","display_name":"Resolving Conflicts among Unbalanced Multi-Source Data When Multi-Value Objects Exist","publication_year":2022,"publication_date":"2022-05-02","ids":{"openalex":"https://openalex.org/W4283210949","doi":"https://doi.org/10.1109/infocomwkshps54753.2022.9797958"},"language":"en","primary_location":{"id":"doi:10.1109/infocomwkshps54753.2022.9797958","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocomwkshps54753.2022.9797958","pdf_url":null,"source":{"id":"https://openalex.org/S4363607985","display_name":"IEEE INFOCOM 2022 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","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":"IEEE INFOCOM 2022 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","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/A5010764369","display_name":"Xiu Susie Fang","orcid":"https://orcid.org/0000-0003-1527-9270"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiu Susie Fang","raw_affiliation_strings":["Donghua University,Shanghai,China","Donghua University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Donghua University,Shanghai,China","institution_ids":["https://openalex.org/I181326427"]},{"raw_affiliation_string":"Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080744092","display_name":"Quan Z. Sheng","orcid":"https://orcid.org/0000-0002-3326-4147"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Quan Z. Sheng","raw_affiliation_strings":["Macquarie University,Sydney,Australia","Macquarie University, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Macquarie University,Sydney,Australia","institution_ids":["https://openalex.org/I99043593"]},{"raw_affiliation_string":"Macquarie University, Sydney, Australia","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009644404","display_name":"Jian Yang","orcid":"https://orcid.org/0000-0002-4408-1952"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jian Yang","raw_affiliation_strings":["Macquarie University,Sydney,Australia","Macquarie University, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Macquarie University,Sydney,Australia","institution_ids":["https://openalex.org/I99043593"]},{"raw_affiliation_string":"Macquarie University, Sydney, Australia","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101637485","display_name":"Guohao Sun","orcid":"https://orcid.org/0000-0002-0310-0598"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guohao Sun","raw_affiliation_strings":["Donghua University,Shanghai,China","Donghua University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Donghua University,Shanghai,China","institution_ids":["https://openalex.org/I181326427"]},{"raw_affiliation_string":"Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076107706","display_name":"Xianzhi Wang","orcid":"https://orcid.org/0000-0001-9582-3445"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xianzhi Wang","raw_affiliation_strings":["University of Technology Sydney,Sydney,Australia","University of Technology Sydney, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Technology Sydney,Sydney,Australia","institution_ids":["https://openalex.org/I114017466"]},{"raw_affiliation_string":"University of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081101711","display_name":"Yihong Zhang","orcid":"https://orcid.org/0000-0002-4758-9911"},"institutions":[{"id":"https://openalex.org/I15807432","display_name":"Osaka Prefecture University","ror":"https://ror.org/02cf1je33","country_code":"JP","type":"education","lineage":["https://openalex.org/I15807432"]},{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yihong Zhang","raw_affiliation_strings":["Osaka University,Osaka Prefecture,Japan","Osaka University, Osaka Prefecture, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Osaka University,Osaka Prefecture,Japan","institution_ids":["https://openalex.org/I15807432","https://openalex.org/I98285908"]},{"raw_affiliation_string":"Osaka University, Osaka Prefecture, Japan","institution_ids":["https://openalex.org/I15807432","https://openalex.org/I98285908"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04937103,"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":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9980999827384949,"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"}},"topics":[{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9980999827384949,"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"}},{"id":"https://openalex.org/T11182","display_name":"Auction Theory and Applications","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/computer-science","display_name":"Computer science","score":0.6741204857826233},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.5436398983001709},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.09019121527671814}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6741204857826233},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.5436398983001709},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.09019121527671814}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/infocomwkshps54753.2022.9797958","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocomwkshps54753.2022.9797958","pdf_url":null,"source":{"id":"https://openalex.org/S4363607985","display_name":"IEEE INFOCOM 2022 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","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":"IEEE INFOCOM 2022 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.5}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2081754212","https://openalex.org/W2169585110","https://openalex.org/W2537655998","https://openalex.org/W2888324453"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W4402327032","https://openalex.org/W2382290278"],"abstract_inverted_index":{"When":[0],"considering":[1],"multi-value":[2],"objects,":[3],"the":[4,12,40,44],"inevitable":[5],"unbalanced":[6],"data":[7],"distribution":[8],"is":[9],"overlooked":[10],"by":[11],"existing":[13],"truth":[14],"discovery":[15],"methods.":[16],"In":[17],"this":[18,30],"work,":[19],"we":[20],"propose":[21],"a":[22],"confidence":[23,62],"interval":[24],"based":[25],"approach":[26],"(CIMTD)":[27],"to":[28,42,77,86],"tackle":[29],"issue.":[31],"We":[32],"estimate":[33],"source":[34,71],"reliability":[35,55],"from":[36],"two":[37],"aspects,":[38],"i.e.,":[39],"ability":[41],"claim":[43],"correct":[45],"number":[46],"of":[47,64],"value(s)":[48],"and":[49,59,94],"specific":[50],"value(s).":[51],"To":[52],"reflect":[53,87],"real":[54,88],"for":[56,91],"both":[57,92],"\u201cbig\u201d":[58],"\u201csmall\u201d":[60],"sources,":[61],"intervals":[63,82],"enriched":[65],"estimation":[66],"are":[67,75,83],"considered.":[68],"While":[69],"estimating":[70],"reliability,":[72],"uncertainty":[73,89],"degrees":[74,90],"introduced":[76],"model":[78],"object":[79],"differences.":[80],"Confidence":[81],"also":[84],"considered":[85],"\u201chot\u201d":[93],"\u201ccold\u201d":[95],"objects.":[96],"CIMTD":[97],"outperforms":[98],"baseline":[99],"methods":[100],"on":[101],"real-world":[102],"datasets.":[103]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}