{"id":"https://openalex.org/W1989225134","doi":"https://doi.org/10.1109/tpds.2015.2427805","title":"PURE: Blind Regression Modeling for Low Quality Data with Participatory Sensing","display_name":"PURE: Blind Regression Modeling for Low Quality Data with Participatory Sensing","publication_year":2015,"publication_date":"2015-04-29","ids":{"openalex":"https://openalex.org/W1989225134","doi":"https://doi.org/10.1109/tpds.2015.2427805","mag":"1989225134"},"language":"en","primary_location":{"id":"doi:10.1109/tpds.2015.2427805","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpds.2015.2427805","pdf_url":null,"source":{"id":"https://openalex.org/S97130795","display_name":"IEEE Transactions on Parallel and Distributed Systems","issn_l":"1045-9219","issn":["1045-9219","1558-2183","2161-9883"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Parallel and Distributed Systems","raw_type":"journal-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/A5013173652","display_name":"Shan Chang","orcid":"https://orcid.org/0000-0002-5253-2549"},"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":"Shan Chang","raw_affiliation_strings":["School of Computer Science & Technology, Donghua University, Shanghai, P.R. China","School of Computer Science and Technology, Donghua University, Shanghai, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science & Technology, Donghua University, Shanghai, P.R. China","institution_ids":["https://openalex.org/I181326427"]},{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University, Shanghai, P.R. China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071050711","display_name":"Hongzi Zhu","orcid":"https://orcid.org/0000-0001-8657-5064"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongzi Zhu","raw_affiliation_strings":["Department of Computer Science and Technology, Shanghai Jiao Tong University, Shanghai, P.R. China","Department of Computer Science and Technology, Shanghai Jiao Tong University, Shanghai, P.R. China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Shanghai Jiao Tong University, Shanghai, P.R. China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Department of Computer Science and Technology, Shanghai Jiao Tong University, Shanghai, P.R. China#TAB#","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115592026","display_name":"Wei Zhang","orcid":"https://orcid.org/0009-0004-4280-7563"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["Department of Computer Science and Technology, Shanghai Jiao Tong University, Shanghai, P.R. China","Department of Computer Science and Technology, Shanghai Jiao Tong University, Shanghai, P.R. China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Shanghai Jiao Tong University, Shanghai, P.R. China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Department of Computer Science and Technology, Shanghai Jiao Tong University, Shanghai, P.R. China#TAB#","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009390861","display_name":"Li Lu","orcid":"https://orcid.org/0000-0002-4361-012X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Lu","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology, Chengdu, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology, Chengdu, P.R. China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081759167","display_name":"Yanmin Zhu","orcid":"https://orcid.org/0000-0001-6406-4992"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanmin Zhu","raw_affiliation_strings":["Department of Computer Science and Technology, Shanghai Jiao Tong University, Shanghai, P.R. China","Department of Computer Science and Technology, Shanghai Jiao Tong University, Shanghai, P.R. China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Shanghai Jiao Tong University, Shanghai, P.R. China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Department of Computer Science and Technology, Shanghai Jiao Tong University, Shanghai, P.R. China#TAB#","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.479,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.93026431,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"27","issue":"4","first_page":"1199","last_page":"1211"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9991999864578247,"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"}},{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9968000054359436,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.992900013923645,"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/computer-science","display_name":"Computer science","score":0.767963707447052},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.5332531332969666},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5227987170219421},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.5178582668304443},{"id":"https://openalex.org/keywords/participatory-sensing","display_name":"Participatory sensing","score":0.48387253284454346},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34782612323760986},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.33254027366638184},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.22166728973388672},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.18015113472938538},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.13095057010650635},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1021760106086731}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.767963707447052},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.5332531332969666},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5227987170219421},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.5178582668304443},{"id":"https://openalex.org/C2779208394","wikidata":"https://www.wikidata.org/wiki/Q7140460","display_name":"Participatory sensing","level":2,"score":0.48387253284454346},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34782612323760986},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.33254027366638184},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.22166728973388672},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.18015113472938538},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.13095057010650635},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1021760106086731},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tpds.2015.2427805","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpds.2015.2427805","pdf_url":null,"source":{"id":"https://openalex.org/S97130795","display_name":"IEEE Transactions on Parallel and Distributed Systems","issn_l":"1045-9219","issn":["1045-9219","1558-2183","2161-9883"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Parallel and Distributed Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","score":0.4300000071525574,"display_name":"Partnerships for the goals"}],"awards":[{"id":"https://openalex.org/G1944819817","display_name":"\u65e0\u7ebf\u8f66\u8f86\u7f51\u7edc\u6570\u636e\u901a\u4fe1\u53ca\u79fb\u52a8\u611f\u77e5\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61170238","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1991617982","display_name":"\u57fa\u4e8e\u60c5\u666f\u611f\u77e5\u7684\u53ef\u9760\u53ef\u4fe1\u57ce\u5e02\u8f66\u8f86\u5b9a\u4f4d\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61472255","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2678392855","display_name":null,"funder_award_id":"61202375","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2870669183","display_name":"\u80fd\u91cf\u9ad8\u6548\u7684\u53ef\u8ba1\u7b97\u65e0\u7ebf\u5c04\u9891\u8bc6\u522b\u6807\u7b7e\u7814\u7a76","funder_award_id":"61472068","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3036662534","display_name":null,"funder_award_id":"2014CB340303","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G3191704008","display_name":null,"funder_award_id":"61300199","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4755751023","display_name":null,"funder_award_id":"61420106010","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5166716213","display_name":"\u65e0\u7ebfAd Hoc\u7f51\u7edc\u62d3\u6251\u653b\u51fb\u63a2\u6d4b\u4e0e\u5b9a\u4f4d\u7814\u7a76","funder_award_id":"61173171","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G521141657","display_name":"\u6570\u636e\u5e7f\u64ad\u73af\u5883\u4e0b\u5b9e\u65f6\u8c03\u5ea6\u7406\u8bba\u53ca\u5e94\u7528\u7814\u7a76","funder_award_id":"61370205","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6245833847","display_name":null,"funder_award_id":"2232014D3-21","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G6742635656","display_name":null,"funder_award_id":"2014M550466","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G7123709921","display_name":"\u7fa4\u667a\u611f\u77e5\u8ba1\u7b97\u4e2d\u4efb\u52a1\u8c03\u5ea6\u53ca\u8d44\u6e90\u7ba1\u7406\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61472254","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G735999489","display_name":null,"funder_award_id":"12ZR1414900","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320321885","display_name":"Science and Technology Commission of Shanghai Municipality","ror":"https://ror.org/03kt66j61"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320337387","display_name":"Division of Computing and Communication Foundations","ror":"https://ror.org/01mng8331"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W36711357","https://openalex.org/W1510952750","https://openalex.org/W1525630739","https://openalex.org/W1968265138","https://openalex.org/W1974371521","https://openalex.org/W1986123955","https://openalex.org/W2000785875","https://openalex.org/W2005617509","https://openalex.org/W2011627547","https://openalex.org/W2026422606","https://openalex.org/W2039482292","https://openalex.org/W2048674665","https://openalex.org/W2050439513","https://openalex.org/W2056360854","https://openalex.org/W2069721762","https://openalex.org/W2071079847","https://openalex.org/W2074968817","https://openalex.org/W2077884493","https://openalex.org/W2092685727","https://openalex.org/W2101001078","https://openalex.org/W2110811672","https://openalex.org/W2118024521","https://openalex.org/W2123876335","https://openalex.org/W2129249398","https://openalex.org/W2130099852","https://openalex.org/W2132391423","https://openalex.org/W2144182447","https://openalex.org/W2145002834","https://openalex.org/W2151956781","https://openalex.org/W2164807969","https://openalex.org/W2171157447","https://openalex.org/W2489822048","https://openalex.org/W2498631646","https://openalex.org/W3146425672"],"related_works":["https://openalex.org/W2348097614","https://openalex.org/W2058237999","https://openalex.org/W2116911522","https://openalex.org/W2347219288","https://openalex.org/W2354822586","https://openalex.org/W2366221835","https://openalex.org/W3149424243","https://openalex.org/W2358841807","https://openalex.org/W2156401290","https://openalex.org/W2102614828"],"abstract_inverted_index":{"Participatory":[0],"regression":[1,75,89],"modeling":[2],"is":[3,25,94,105,127,136,146],"a":[4,95,147,177],"cost-efficient":[5],"mechanism":[6],"to":[7,86,106],"establish":[8],"the":[9,33,41,57,73,78,115,122,184],"relationships":[10],"among":[11],"multiple":[12],"dimensions":[13],"of":[14,35,37,98,103,167,170,179],"sensory":[15],"data":[16,43,50,84],"collected":[17,58],"from":[18],"volunteers.":[19],"Getting":[20],"an":[21,65,130,163],"accurate":[22],"model":[23,76],"estimate":[24,72,117],"challenging":[26],"for":[27,80,151],"two":[28,168],"main":[29],"reasons.":[30],"First,":[31],"with":[32,51,173,183],"concern":[34],"confidentiality":[36],"individual":[38,108,142],"private":[39,83],"data,":[40],"original":[42],"are":[44,53],"nearly":[45],"unavailable;":[46],"second,":[47],"low":[48],"quality":[49],"outliers":[52,99,175],"inherently":[54],"embedded":[55],"in":[56,129],"data.":[59],"In":[60],"this":[61],"paper,":[62],"we":[63],"propose":[64],"innovative":[66],"scheme,":[67],"PURE,":[68],"which":[69],"can":[70,139,161],"accurately":[71],"global":[74,116],"without":[77],"need":[79],"knowing":[81],"local":[82],"(referred":[85],"as":[87],"blind":[88],"modeling)":[90],"even":[91,172],"when":[92],"there":[93],"large":[96],"portion":[97],"embedded.":[100],"The":[101],"wisdom":[102],"PURE":[104,135,145,160],"let":[107],"participants":[109],"peer":[110],"judge":[111],"and":[112,138],"further":[113],"improve":[114],"via":[118],"negotiations.":[119],"Meanwhile,":[120],"during":[121],"whole":[123],"process,":[124],"all":[125],"information":[126],"exchanged":[128],"aggregated":[131],"way.":[132],"By":[133],"design,":[134],"secure":[137],"well":[140],"protect":[141],"privacy.":[143],"Furthermore,":[144],"lightweight":[148],"protocol":[149],"suitable":[150],"mobile":[152],"devices.":[153],"Extensive":[154],"trace-driven":[155],"simulation":[156],"results":[157],"show":[158],"that":[159],"achieve":[162],"outstanding":[164],"accuracy":[165],"gain":[166],"orders":[169],"magnitude":[171],"random":[174],"near":[176],"ratio":[178],"50":[180],"percent":[181],"compared":[182],"state-of-the-art":[185],"least":[186],"square":[187],"estimator.":[188]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
