乐胖代购免代理版

{"id":"https://openalex.org/W2510343936","doi":"https://doi.org/10.1145/2983323.2983676","title":"Multi-source Hierarchical Prediction Consolidation","display_name":"Multi-source Hierarchical Prediction Consolidation","publication_year":2016,"publication_date":"2016-10-24","ids":{"openalex":"https://openalex.org/W2510343936","doi":"https://doi.org/10.1145/2983323.2983676","mag":"2510343936"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1145/2983323.2983676","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2983676&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://dl.acm.org/ft_gateway.cfm?id=2983676&type=pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017147857","display_name":"Chenwei Zhang","orcid":"https://orcid.org/0000-0002-0488-4603"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"funder","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chenwei Zhang","raw_affiliation_strings":["University of Illinois at Chicago, Chicago, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Chicago, Chicago, IL, USA","institution_ids":["https://openalex.org/I39422238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102861459","display_name":"Sihong Xie","orcid":"https://orcid.org/0000-0001-5741-9740"},"institutions":[{"id":"https://openalex.org/I186143895","display_name":"Lehigh University","ror":"https://ror.org/012afjb06","country_code":"US","type":"funder","lineage":["https://openalex.org/I186143895"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sihong Xie","raw_affiliation_strings":["Lehigh University, Bethlehem, PA, USA"],"affiliations":[{"raw_affiliation_string":"Lehigh University, Bethlehem, PA, USA","institution_ids":["https://openalex.org/I186143895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046576694","display_name":"Yaliang Li","orcid":"https://orcid.org/0000-0002-4204-6096"},"institutions":[{"id":"https://openalex.org/I115441956","display_name":"Buffalo State University","ror":"https://ror.org/05ms04m92","country_code":"US","type":"education","lineage":["https://openalex.org/I115441956"]},{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"funder","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yaliang Li","raw_affiliation_strings":["SUNY Buffalo, Buffalo, NY, USA"],"affiliations":[{"raw_affiliation_string":"SUNY Buffalo, Buffalo, NY, USA","institution_ids":["https://openalex.org/I115441956","https://openalex.org/I63190737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077201324","display_name":"Jing Gao","orcid":"https://orcid.org/0000-0003-1778-8909"},"institutions":[{"id":"https://openalex.org/I115441956","display_name":"Buffalo State University","ror":"https://ror.org/05ms04m92","country_code":"US","type":"education","lineage":["https://openalex.org/I115441956"]},{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"funder","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jing Gao","raw_affiliation_strings":["SUNY Buffalo, Buffalo, NY, USA"],"affiliations":[{"raw_affiliation_string":"SUNY Buffalo, Buffalo, NY, USA","institution_ids":["https://openalex.org/I115441956","https://openalex.org/I63190737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100380588","display_name":"Wei Fan","orcid":"https://orcid.org/0009-0008-1900-7081"},"institutions":[],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Fan","raw_affiliation_strings":["Baidu Research Big Data Lab, Sunnyvale, CA, USA"],"affiliations":[{"raw_affiliation_string":"Baidu Research Big Data Lab, Sunnyvale, CA, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036357902","display_name":"Philip S. Yu","orcid":"https://orcid.org/0000-0002-3491-5968"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"funder","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Philip S. Yu","raw_affiliation_strings":["University of Illinois at Chicago & Tsinghua University, Chicago, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Chicago & Tsinghua University, Chicago, IL, USA","institution_ids":["https://openalex.org/I39422238"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.439,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":5,"citation_normalized_percentile":{"value":0.556971,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":81,"max":82},"biblio":{"volume":null,"issue":null,"first_page":"2251","last_page":"2256"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9993,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9993,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9953,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9888,"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/crowdsourcing","display_name":"Crowdsourcing","score":0.68772364},{"id":"https://openalex.org/keywords/data-aggregator","display_name":"Data aggregator","score":0.56440586},{"id":"https://openalex.org/keywords/consolidation","display_name":"Consolidation","score":0.5223576},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.48241127}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7706624},{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.68772364},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.56710285},{"id":"https://openalex.org/C82578977","wikidata":"https://www.wikidata.org/wiki/Q16773055","display_name":"Data aggregator","level":3,"score":0.56440586},{"id":"https://openalex.org/C2776014549","wikidata":"https://www.wikidata.org/wiki/Q3050847","display_name":"Consolidation (business)","level":2,"score":0.5223576},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.50838894},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.49289942},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.48241127},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.48152715},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44932985},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.31888688},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.102199405},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.08678624},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1145/2983323.2983676","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2983676&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1608.03344","pdf_url":"http://arxiv.org/pdf/1608.03344","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1145/2983323.2983676","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2983676&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation","award_id":"III-1526499"}],"datasets":[],"versions":[],"referenced_works_count":12,"referenced_works":["https://openalex.org/W1878441768","https://openalex.org/W1966280301","https://openalex.org/W2014566476","https://openalex.org/W2064564356","https://openalex.org/W2096744808","https://openalex.org/W2106578604","https://openalex.org/W2110952388","https://openalex.org/W2120100126","https://openalex.org/W2137917513","https://openalex.org/W2401393052","https://openalex.org/W2963486721","https://openalex.org/W55768394"],"related_works":["https://openalex.org/W4384486036","https://openalex.org/W4318823662","https://openalex.org/W4286908577","https://openalex.org/W3207526114","https://openalex.org/W3032998312","https://openalex.org/W2886410948","https://openalex.org/W2337920774","https://openalex.org/W2025875869","https://openalex.org/W1503094549","https://openalex.org/W135177976"],"abstract_inverted_index":{"In":[0],"big":[1],"data":[2,7],"applications":[3],"such":[4,133],"as":[5,87,117,134],"healthcare":[6],"mining,":[8],"due":[9],"to":[10,16,42,45,54,80,125],"privacy":[11],"concerns,":[12],"it":[13],"is":[14,69,91],"necessary":[15,104],"collect":[17],"predictions":[18],"from":[19],"multiple":[20,36],"information":[21,68],"sources":[22],"for":[23],"the":[24,47,51,55,88],"same":[25],"instance,":[26],"with":[27,84],"raw":[28],"features":[29],"being":[30],"discarded":[31],"or":[32,61,138],"withheld":[33],"when":[34],"aggregating":[35],"predictions.":[37],"Besides,":[38],"crowd-sourced":[39],"labels":[40],"need":[41],"be":[43,114],"aggregated":[44],"estimate":[46],"ground":[48],"truth":[49],"of":[50,128],"data.":[52],"Due":[53],"imperfection":[56],"caused":[57],"by":[58,122],"predictive":[59],"models":[60],"human":[62],"crowdsourcing":[63],"workers,":[64],"noisy":[65],"and":[66,71,94],"conflicting":[67],"ubiquitous":[70],"inevitable.":[72],"Although":[73],"state-of-the-art":[74],"aggregation":[75,97],"methods":[76],"have":[77],"been":[78,107],"proposed":[79],"handle":[81],"label":[82,89,100,111,131],"spaces":[83],"flat":[85],"structures,":[86],"space":[90],"becoming":[92],"more":[93,95],"complicated,":[96],"under":[98],"a":[99],"hierarchical":[101],"structure":[102],"becomes":[103],"but":[105],"has":[106],"largely":[108],"ignored.":[109],"These":[110],"hierarchies":[112],"can":[113],"quite":[115],"informative":[116],"they":[118],"are":[119],"usually":[120],"created":[121],"domain":[123],"experts":[124],"make":[126],"sense":[127],"highly":[129],"complex":[130],"correlations":[132],"protein":[135],"functionality":[136],"interactions":[137],"disease":[139],"relationships.":[140]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2510343936","counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-02-22T06:53:54.382637","created_date":"2016-09-16"}