{"id":"https://openalex.org/W2810223046","doi":"https://doi.org/10.1109/tkde.2018.2849997","title":"Near-accurate Multiset Reconciliation","display_name":"Near-accurate Multiset Reconciliation","publication_year":2018,"publication_date":"2018-06-25","ids":{"openalex":"https://openalex.org/W2810223046","doi":"https://doi.org/10.1109/tkde.2018.2849997","mag":"2810223046"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2018.2849997","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2018.2849997","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","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/A5101630385","display_name":"Lailong Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lailong Luo","raw_affiliation_strings":["Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Hunan, China"],"raw_orcid":"https://orcid.org/0000-0002-2731-9666","affiliations":[{"raw_affiliation_string":"Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Hunan, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032623398","display_name":"Deke Guo","orcid":"https://orcid.org/0000-0003-4894-5540"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Deke Guo","raw_affiliation_strings":["Tianjin Key Laboratory of Advanced Networking School of Computer Science and Technology, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0003-4894-5540","affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Advanced Networking School of Computer Science and Technology, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014937762","display_name":"Xiang Zhao","orcid":"https://orcid.org/0000-0001-6339-0219"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiang Zhao","raw_affiliation_strings":["Collaborative Innovation Center of Geospatial Technology, Hubei, China"],"raw_orcid":"https://orcid.org/0000-0001-6339-0219","affiliations":[{"raw_affiliation_string":"Collaborative Innovation Center of Geospatial Technology, Hubei, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100600528","display_name":"Jie Wu","orcid":"https://orcid.org/0000-0002-3472-1717"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jie Wu","raw_affiliation_strings":["Department of Computer and Information Science, Temple University, Philadelphia, USA"],"raw_orcid":"https://orcid.org/0000-0002-3472-1717","affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, Temple University, Philadelphia, USA","institution_ids":["https://openalex.org/I84392919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010514482","display_name":"Ori Rottenstreich","orcid":"https://orcid.org/0000-0002-4064-1238"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ori Rottenstreich","raw_affiliation_strings":["Orbs Research and Technion, Tel Aviv-Yafo, Israel"],"raw_orcid":"https://orcid.org/0000-0002-4064-1238","affiliations":[{"raw_affiliation_string":"Orbs Research and Technion, Tel Aviv-Yafo, Israel","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101719194","display_name":"Xueshan Luo","orcid":"https://orcid.org/0009-0007-2931-0415"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueshan Luo","raw_affiliation_strings":["Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Hunan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Hunan, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7059,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.85879619,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"31","issue":"5","first_page":"952","last_page":"964"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11478","display_name":"Caching and Content Delivery","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11478","display_name":"Caching and Content Delivery","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10772","display_name":"Distributed systems and fault tolerance","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11896","display_name":"Opportunistic and Delay-Tolerant Networks","score":0.9778000116348267,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/multiset","display_name":"Multiset","score":0.9611964225769043},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8526574373245239},{"id":"https://openalex.org/keywords/bloom-filter","display_name":"Bloom filter","score":0.8450968265533447},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6325947046279907},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5462096333503723},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5447129607200623},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5436874628067017},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4599655270576477},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39928382635116577},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39339733123779297},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.10526761412620544},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10104548931121826},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.09253382682800293}],"concepts":[{"id":"https://openalex.org/C2779623528","wikidata":"https://www.wikidata.org/wiki/Q864377","display_name":"Multiset","level":2,"score":0.9611964225769043},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8526574373245239},{"id":"https://openalex.org/C147224247","wikidata":"https://www.wikidata.org/wiki/Q885373","display_name":"Bloom filter","level":2,"score":0.8450968265533447},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6325947046279907},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5462096333503723},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5447129607200623},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5436874628067017},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4599655270576477},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39928382635116577},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39339733123779297},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.10526761412620544},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10104548931121826},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.09253382682800293},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2018.2849997","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2018.2849997","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2372033617","display_name":null,"funder_award_id":"71690233","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5257144520","display_name":null,"funder_award_id":"61772544","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5315980042","display_name":"\u7f51\u7edc\u73af\u5883\u4e0b\u793e\u4f1a\u7ba1\u7406\u7684\u7ec4\u7ec7\u5efa\u6a21\u4e0e\u8ba1\u7b97\u5b9e\u9a8c\u65b9\u6cd5\u7814\u7a76","funder_award_id":"71331008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7494890979","display_name":null,"funder_award_id":"2014CB347800","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1496856923","https://openalex.org/W1655990431","https://openalex.org/W1970216338","https://openalex.org/W1970691969","https://openalex.org/W2014819730","https://openalex.org/W2016995838","https://openalex.org/W2026325114","https://openalex.org/W2033639590","https://openalex.org/W2033740195","https://openalex.org/W2036133762","https://openalex.org/W2043465005","https://openalex.org/W2066245391","https://openalex.org/W2066354072","https://openalex.org/W2069891327","https://openalex.org/W2087380001","https://openalex.org/W2106810140","https://openalex.org/W2111577338","https://openalex.org/W2119336214","https://openalex.org/W2119738171","https://openalex.org/W2123845384","https://openalex.org/W2126540423","https://openalex.org/W2142423295","https://openalex.org/W2163605932","https://openalex.org/W2188697860","https://openalex.org/W2305788608","https://openalex.org/W2337480916","https://openalex.org/W2556892980","https://openalex.org/W4240018112","https://openalex.org/W6629977238","https://openalex.org/W6672450608","https://openalex.org/W6683927305","https://openalex.org/W6687005729","https://openalex.org/W6698379459"],"related_works":["https://openalex.org/W4300455649","https://openalex.org/W2296588302","https://openalex.org/W4252409532","https://openalex.org/W4328119206","https://openalex.org/W2033245919","https://openalex.org/W2006067547","https://openalex.org/W9228044","https://openalex.org/W2086572746","https://openalex.org/W3143753676","https://openalex.org/W2556892980"],"abstract_inverted_index":{"The":[0,125,212,235],"mission":[1],"of":[2,20,166,209,252],"set":[3,7,30,63],"reconciliation":[4,31,44,64,68,108,140,187],"(also":[5],"called":[6],"synchronization)":[8],"is":[9],"to":[10,58,121,143,159,171,179,205],"identify":[11],"those":[12],"elements":[13],"which":[14],"appear":[15],"only":[16],"in":[17,250],"exactly":[18],"one":[19],"two":[21,164,197],"given":[22],"sets.":[23],"In":[24],"this":[25,150],"paper,":[26],"we":[27,152,169,189],"extend":[28],"the":[29,62,89,145,182,186,207,231,247],"problem":[32],"into":[33],"three":[34,52,146],"design":[35,190],"rationales:":[36],"(i)":[37],"multiset":[38,107,222],"support;":[39],"(ii)":[40],"near":[41],"100":[42],"percent":[43],"accuracy;":[45],"and":[46,49,76,97,135,155,162,174,218,226,254],"(iii)":[47],"communication-friendly":[48],"time-saving.":[50],"These":[51],"rationales,":[53],"if":[54],"realized,":[55],"will":[56],"lead":[57],"unprecedented":[59],"benefits":[60],"for":[61,73,80],"paradigm.":[65],"Generally,":[66],"prior":[67],"methods":[69],"are":[70,203],"mainly":[71],"designed":[72],"simple":[74],"sets":[75],"thus":[77],"remain":[78],"inapplicable":[79],"multisets.":[81],"Methods":[82],"based":[83,237],"on":[84,101,238],"probabilistic":[85,103],"data":[86,104],"structures,":[87,105],"e.g.,":[88],"Counting":[90],"Bloom":[91],"Filter":[92],"(CBF),":[93],"support":[94],"efficient":[95],"representation,":[96],"multiplicity":[98],"queries.":[99],"Based":[100],"these":[102],"approximate":[106],"can":[109],"be":[110],"enabled.":[111],"However,":[112],"they":[113],"often":[114],"cannot":[115],"achieve":[116,220],"a":[117,191],"statisfying":[118],"accuracy,":[119],"due":[120],"potential":[122],"hash":[123],"collisions.":[124],"reconciliations":[126],"enabled":[127],"by":[128],"logs":[129],"or":[130,199],"lists":[131],"incur":[132],"high":[133],"time-complexity":[134],"communication":[136,183,255],"overhead.":[137],"Therefore,":[138],"existing":[139],"methods,":[141],"fail":[142],"realize":[144],"rationales":[147],"simultaneously.":[148],"To":[149],"end,":[151],"redesign":[153],"Trie":[154,217],"Fenwick":[156],"Tree":[157],"(FT),":[158],"near-accurately":[160],"represent":[161],"reconcile":[163],"types":[165],"multisets":[167],"that":[168,216,243],"refer":[170],"as":[172],"unsorted":[173],"sorted":[175],"multisets,":[176],"respectively.":[177,234],"Moreover,":[178],"further":[180,241],"reduce":[181],"overhead":[184,256],"during":[185],"process,":[188],"partial":[192],"transmission":[193],"strategy":[194],"when":[195],"exchanging":[196],"Tries":[198],"FTs.":[200],"Comprehensive":[201],"evaluations":[202,214],"conducted":[204],"quantify":[206],"performance":[208],"our":[210,244],"proposals.":[211],"trace-driven":[213],"demonstrate":[215],"FT":[219],"near-accurate":[221],"reconciliation,":[223],"with":[224],"4.31":[225],"2.96":[227],"times":[228],"faster":[229],"than":[230],"CBF-based":[232,248],"method,":[233],"simulations":[236],"synthetic":[239],"datasets":[240],"indicate":[242],"proposals":[245],"outperform":[246],"method":[249],"terms":[251],"accuracy":[253],"at":[257],"most":[258],"time.":[259]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}