{"id":"https://openalex.org/W2129270691","doi":"https://doi.org/10.1186/1472-6947-12-59","title":"Efficient algorithms for fast integration on large data sets from multiple sources","display_name":"Efficient algorithms for fast integration on large data sets from multiple sources","publication_year":2012,"publication_date":"2012-06-28","ids":{"openalex":"https://openalex.org/W2129270691","doi":"https://doi.org/10.1186/1472-6947-12-59","mag":"2129270691","pmid":"https://pubmed.ncbi.nlm.nih.gov/22741525"},"language":"en","primary_location":{"id":"doi:10.1186/1472-6947-12-59","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1472-6947-12-59","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/1472-6947-12-59","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/1472-6947-12-59","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100689981","display_name":"Tian Mi","orcid":"https://orcid.org/0000-0003-3230-0633"},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Tian Mi","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Connecticut Storrs, Connecticut, USA. tian.mi@engr.uconn.edu","Department of Computer Science and Engineering, University of Connecticut Storrs, Connecticut, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Connecticut Storrs, Connecticut, USA. tian.mi@engr.uconn.edu","institution_ids":["https://openalex.org/I140172145"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Connecticut Storrs, Connecticut, USA","institution_ids":["https://openalex.org/I140172145"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034177039","display_name":"Sanguthevar Rajasekaran","orcid":null},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sanguthevar Rajasekaran","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Connecticut Storrs, Connecticut, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Connecticut Storrs, Connecticut, USA","institution_ids":["https://openalex.org/I140172145"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030001545","display_name":"Robert H. Aseltine","orcid":"https://orcid.org/0000-0003-3007-9867"},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Robert Aseltine","raw_affiliation_strings":["Institute for Public Health Research, University of Connecticut, East Hartford, Connecticut, USA","Institute for Public Health Research, University of Connecticut, East Hartford, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Public Health Research, University of Connecticut, East Hartford, Connecticut, USA","institution_ids":["https://openalex.org/I140172145"]},{"raw_affiliation_string":"Institute for Public Health Research, University of Connecticut, East Hartford, USA","institution_ids":["https://openalex.org/I140172145"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5034177039","https://openalex.org/A5100689981"],"corresponding_institution_ids":["https://openalex.org/I140172145"],"apc_list":{"value":1570,"currency":"GBP","value_usd":1925},"apc_paid":{"value":1570,"currency":"GBP","value_usd":1925},"fwci":2.0702,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.88097525,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"12","issue":"1","first_page":"59","last_page":"59"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.6498000025749207,"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":0.6498000025749207,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.18080000579357147,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.01860000006854534,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/health-informatics","display_name":"Health informatics","score":0.7232842445373535},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6810147166252136},{"id":"https://openalex.org/keywords/data-integration","display_name":"Data integration","score":0.4614390730857849},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4461365044116974},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4086468517780304},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.33028343319892883},{"id":"https://openalex.org/keywords/public-health","display_name":"Public health","score":0.11977207660675049},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.09434574842453003},{"id":"https://openalex.org/keywords/nursing","display_name":"Nursing","score":0.07938423752784729}],"concepts":[{"id":"https://openalex.org/C145642194","wikidata":"https://www.wikidata.org/wiki/Q870895","display_name":"Health informatics","level":3,"score":0.7232842445373535},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6810147166252136},{"id":"https://openalex.org/C72634772","wikidata":"https://www.wikidata.org/wiki/Q386824","display_name":"Data integration","level":2,"score":0.4614390730857849},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4461365044116974},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4086468517780304},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.33028343319892883},{"id":"https://openalex.org/C138816342","wikidata":"https://www.wikidata.org/wiki/Q189603","display_name":"Public health","level":2,"score":0.11977207660675049},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.09434574842453003},{"id":"https://openalex.org/C159110408","wikidata":"https://www.wikidata.org/wiki/Q121176","display_name":"Nursing","level":1,"score":0.07938423752784729}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003625","descriptor_name":"Data Collection","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003625","descriptor_name":"Data Collection","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003625","descriptor_name":"Data Collection","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":6,"locations":[{"id":"doi:10.1186/1472-6947-12-59","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1472-6947-12-59","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/1472-6947-12-59","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},{"id":"pmid:22741525","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/22741525","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC medical informatics and decision making","raw_type":null},{"id":"pmh:oai:opencommons.uconn.edu:libr_oa-1005","is_oa":true,"landing_page_url":"https://opencommons.uconn.edu/libr_oa/6","pdf_url":null,"source":{"id":"https://openalex.org/S4377196438","display_name":"OpenCommons - UConn (University of Connecticut)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I140172145","host_organization_name":"University of Connecticut","host_organization_lineage":["https://openalex.org/I140172145"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Open Access Author Fund Awardees' Articles","raw_type":"text"},{"id":"pmh:oai:digitalcommons.lib.uconn.edu:libr_oa-1005","is_oa":false,"landing_page_url":"https://digitalcommons.lib.uconn.edu/libr_oa/6","pdf_url":null,"source":{"id":"https://openalex.org/S4377196438","display_name":"OpenCommons - UConn (University of Connecticut)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I140172145","host_organization_name":"University of Connecticut","host_organization_lineage":["https://openalex.org/I140172145"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Open Access Author Fund Awardees' Articles","raw_type":"text"},{"id":"pmh:oai:doaj.org/article:c6acd040762d45a586d5a094065c7ed3","is_oa":false,"landing_page_url":"https://doaj.org/article/c6acd040762d45a586d5a094065c7ed3","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Medical Informatics and Decision Making, Vol 12, Iss 1, p 59 (2012)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:3439324","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3439324","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Med Inform Decis Mak","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1186/1472-6947-12-59","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1472-6947-12-59","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/1472-6947-12-59","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3238539651","display_name":"EMT/NANO: Computing with Protein Based Associative Memory Processors","funder_award_id":"0829916","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4707202857","display_name":"ITR:      Information Extraction from Massive Data Sets","funder_award_id":"0326155","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5181472823","display_name":null,"funder_award_id":"LM010101","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G7525700294","display_name":null,"funder_award_id":"R01-LM010101","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2129270691.pdf","grobid_xml":"https://content.openalex.org/works/W2129270691.grobid-xml"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W36024057","https://openalex.org/W46452414","https://openalex.org/W1530809767","https://openalex.org/W1575476631","https://openalex.org/W1582775886","https://openalex.org/W1597164057","https://openalex.org/W1612155886","https://openalex.org/W1647671624","https://openalex.org/W1751533507","https://openalex.org/W1971318281","https://openalex.org/W1976208596","https://openalex.org/W1979629649","https://openalex.org/W1990061958","https://openalex.org/W1997657677","https://openalex.org/W2004918398","https://openalex.org/W2007842132","https://openalex.org/W2010595692","https://openalex.org/W2024770506","https://openalex.org/W2034190452","https://openalex.org/W2035890032","https://openalex.org/W2036216970","https://openalex.org/W2039001182","https://openalex.org/W2049631158","https://openalex.org/W2050071106","https://openalex.org/W2066505785","https://openalex.org/W2073471108","https://openalex.org/W2097730395","https://openalex.org/W2098034668","https://openalex.org/W2102763740","https://openalex.org/W2108503327","https://openalex.org/W2108524699","https://openalex.org/W2108991785","https://openalex.org/W2113054345","https://openalex.org/W2120636855","https://openalex.org/W2122683221","https://openalex.org/W2132038418","https://openalex.org/W2133035795","https://openalex.org/W2133236963","https://openalex.org/W2133555107","https://openalex.org/W2141807666","https://openalex.org/W2147880316","https://openalex.org/W2158217645","https://openalex.org/W2159481891","https://openalex.org/W2161600801","https://openalex.org/W2163598528","https://openalex.org/W2223011434","https://openalex.org/W2485837772","https://openalex.org/W2913519381","https://openalex.org/W3025699485","https://openalex.org/W3146259567","https://openalex.org/W4285719527","https://openalex.org/W7046229491"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2544423928","https://openalex.org/W2053286651","https://openalex.org/W2181743346","https://openalex.org/W2187401768","https://openalex.org/W2181413294","https://openalex.org/W2126703991","https://openalex.org/W2610897791","https://openalex.org/W4366463707"],"abstract_inverted_index":{"BACKGROUND:":[0],"Recent":[1],"large":[2,204],"scale":[3],"deployments":[4],"of":[5,15,119,137,145,165,221,237,276],"health":[6,34],"information":[7,31],"technology":[8],"have":[9,61,128,198],"created":[10],"opportunities":[11],"for":[12,252,265],"the":[13,45,65,112,133,146,151,154,158,166,172,175,219,235,242,246,253,266],"integration":[14,38],"patient":[16],"medical":[17],"records":[18,42,72],"with":[19,174,232],"disparate":[20],"public":[21],"health,":[22],"human":[23],"service,":[24],"and":[25,35,140,183,212,260,268],"educational":[26],"databases":[27],"to":[28,33,44,56,98,131,217],"provide":[29],"comprehensive":[30],"related":[32],"development.":[36],"Data":[37],"techniques,":[39],"which":[40],"identify":[41],"belonging":[43],"same":[46],"individual":[47],"that":[48,67,149,170,189],"reside":[49],"in":[50,64,70,135,256,272],"multiple":[51,83,100],"data":[52,255],"sets,":[53],"are":[54,68,79,96,214],"essential":[55],"these":[57],"efforts.":[58],"Several":[59,126],"algorithms":[60,78,134,202],"been":[62,129],"proposed":[63],"literatures":[66],"adept":[69],"integrating":[71,82],"from":[73],"two":[74],"different":[75],"datasets.":[76,106],"Our":[77],"aimed":[80],"at":[81],"(in":[84,101],"particular":[85,102],"more":[86,103],"than":[87,104],"two)":[88,105],"datasets":[89],"efficiently.":[90],"METHODS:":[91],"Hierarchical":[92],"clustering":[93],"based":[94],"solutions":[95],"used":[97,110],"integrate":[99],"Edit":[107,167],"distance":[108,114,117,173],"is":[109,123],"as":[111,206,208],"basic":[113],"calculation,":[115],"while":[116],"calculation":[118],"common":[120],"input":[121],"errors":[122],"also":[124],"studied.":[125],"techniques":[127],"applied":[130],"improve":[132],"terms":[136],"both":[138],"time":[139],"space:":[141],"1)":[142],"Partial":[143],"Construction":[144],"Dendrogram":[147,159],"(PCD)":[148],"ignores":[150],"level":[152],"above":[153],"threshold;":[155],"2)":[156],"Ignoring":[157],"Structure":[160],"(IDS);":[161],"3)":[162],"Faster":[163],"Computation":[164],"Distance":[168],"(FCED)":[169],"predicts":[171],"threshold":[176],"by":[177],"upper":[178],"bounds":[179],"on":[180,203],"edit":[181],"distance;":[182],"4)":[184],"A":[185],"pre-processing":[186],"blocking":[187],"phase":[188],"limits":[190],"dynamic":[191],"computation":[192],"within":[193],"each":[194],"block.":[195],"RESULTS:":[196],"We":[197],"experimentally":[199],"validated":[200],"our":[201,222,238],"simulated":[205,254],"well":[207],"real":[209,274],"data.":[210],"Accuracy":[211],"completeness":[213],"defined":[215],"stringently":[216],"show":[218],"performance":[220],"algorithms.":[223],"In":[224,241],"addition,":[225],"we":[226,244,248],"employ":[227],"a":[228,273],"four-category":[229],"analysis.":[230],"Comparison":[231],"FEBRL":[233],"shows":[234],"robustness":[236],"approach.":[239],"CONCLUSIONS:":[240],"experiments":[243],"conducted,":[245],"accuracy":[247,262],"observed":[249],"exceeded":[250],"90%":[251],"most":[257],"cases.":[258],"97.7%":[259],"98.1%":[261],"were":[263],"achieved":[264],"constant":[267],"proportional":[269],"threshold,":[270],"respectively,":[271],"dataset":[275],"1,083,878":[277],"records.":[278]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2026-06-19T15:47:20.252518","created_date":"2025-10-10T00:00:00"}