{"id":"https://openalex.org/W2883210377","doi":"https://doi.org/10.1145/3220199.3220206","title":"Multi","display_name":"Multi","publication_year":2018,"publication_date":"2018-04-28","ids":{"openalex":"https://openalex.org/W2883210377","doi":"https://doi.org/10.1145/3220199.3220206","mag":"2883210377"},"language":"en","primary_location":{"id":"doi:10.1145/3220199.3220206","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3220199.3220206","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 International Conference on Big Data and Computing","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/A5062203746","display_name":"Dingding Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dingding Xie","raw_affiliation_strings":["College of Information Science and Engineering, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100363213","display_name":"Junyi Li","orcid":"https://orcid.org/0000-0003-1543-3311"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junyi Li","raw_affiliation_strings":["College of Information Science and Engineering, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057885074","display_name":"Lening Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lening Yuan","raw_affiliation_strings":["College of Information Science and Engineering, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100416328","display_name":"Peng Peng","orcid":"https://orcid.org/0000-0002-8095-8061"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Peng","raw_affiliation_strings":["College of Information Science and Engineering, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5062203746"],"corresponding_institution_ids":["https://openalex.org/I16609230"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08821648,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"38","last_page":"43"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9994000196456909,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9958000183105469,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9876000285148621,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/checksum","display_name":"Checksum","score":0.9510813355445862},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.850043773651123},{"id":"https://openalex.org/keywords/data-quality","display_name":"Data quality","score":0.5822873711585999},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5499876141548157},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.5026693344116211},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5014102458953857},{"id":"https://openalex.org/keywords/distributed-database","display_name":"Distributed database","score":0.4699680507183075},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.437570720911026},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.4181842803955078},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.3017139434814453},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.09226953983306885}],"concepts":[{"id":"https://openalex.org/C162372511","wikidata":"https://www.wikidata.org/wiki/Q218341","display_name":"Checksum","level":2,"score":0.9510813355445862},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.850043773651123},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.5822873711585999},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5499876141548157},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.5026693344116211},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5014102458953857},{"id":"https://openalex.org/C70061542","wikidata":"https://www.wikidata.org/wiki/Q989016","display_name":"Distributed database","level":2,"score":0.4699680507183075},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.437570720911026},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.4181842803955078},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.3017139434814453},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.09226953983306885},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3220199.3220206","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3220199.3220206","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 International Conference on Big Data and Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2047745978","https://openalex.org/W2094069236","https://openalex.org/W2138064798","https://openalex.org/W2142472956","https://openalex.org/W2167333415","https://openalex.org/W2514489076"],"related_works":["https://openalex.org/W2584928298","https://openalex.org/W2073512695","https://openalex.org/W4285328204","https://openalex.org/W3081133439","https://openalex.org/W4386246791","https://openalex.org/W2945537679","https://openalex.org/W3211701140","https://openalex.org/W2952280724","https://openalex.org/W2133103607","https://openalex.org/W1977025641"],"abstract_inverted_index":{"Most":[0],"existing":[1],"systems":[2],"suffer":[3],"from":[4],"data":[5,26,50,53,65,94,109,115,146],"quality":[6,9,54],"problems.":[7],"Data":[8],"has":[10],"been":[11],"affected":[12],"by":[13,172],"many":[14],"factors":[15],"such":[16],"as":[17,154,156],"manual":[18],"operation,":[19],"software":[20],"problems":[21],"and":[22,61,68,104,119,166],"hardware":[23],"problems,":[24],"especially":[25],"inconsistencies.":[27],"As":[28],"an":[29,37],"important":[30,38],"carrier":[31],"of":[32,49,76,93,108,132,139],"data,":[33],"database":[34,57],"system":[35],"plays":[36],"role":[39],"in":[40,55,86,111],"distributed":[41,56],"systems.":[42],"In":[43,90],"order":[44],"to":[45,81,117],"reduce":[46],"the":[47,77,83,87,91,97,100,106,121,129,140,163,167],"impact":[48],"inconsistency":[51,66,95],"on":[52,72],"systems,":[58],"we":[59],"design":[60],"implement":[62],"a":[63],"multi-source":[64],"detection":[67,130,151],"repair":[69,120],"method":[70,98,134,142],"based":[71],"CRC":[73],"algorithm.The":[74],"idea":[75],"proposed":[78],"techniques":[79],"is":[80,135,153,170],"use":[82],"rolling":[84],"checksum":[85],"rsync":[88],"algorithm.":[89],"process":[92],"detection,":[96],"divides":[99],"table":[101],"into":[102],"chunks":[103,110],"calculates":[105],"checksums":[107],"parallel":[112],"for":[113],"multiple":[114],"tables":[116],"detect":[118],"inconsistent":[122],"data.":[123,149],"The":[124,150],"experimental":[125],"results":[126],"show":[127],"that":[128,138],"effect":[131],"this":[133],"consistent":[136],"with":[137,147],"traditional":[141,164],"which":[143],"comparing":[144],"source":[145],"target":[148],"rate":[152],"high":[155],"99%,":[157],"but":[158],"it":[159],"performs":[160],"better":[161],"than":[162],"method,":[165],"running":[168],"time":[169],"reduced":[171],"about":[173],"20%.":[174]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2018-08-03T00:00:00"}
