{"id":"https://openalex.org/W3111602972","doi":"https://doi.org/10.1109/smc42975.2020.9283005","title":"Interactive rule correction, imputation and execution in rule-driven database completion system","display_name":"Interactive rule correction, imputation and execution in rule-driven database completion system","publication_year":2020,"publication_date":"2020-10-11","ids":{"openalex":"https://openalex.org/W3111602972","doi":"https://doi.org/10.1109/smc42975.2020.9283005","mag":"3111602972"},"language":"en","primary_location":{"id":"doi:10.1109/smc42975.2020.9283005","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc42975.2020.9283005","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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/A5023025930","display_name":"Kuldeep Reddy","orcid":"https://orcid.org/0000-0002-4375-0667"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kuldeep Reddy","raw_affiliation_strings":["Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5023025930"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19783134,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":null,"first_page":"426","last_page":"431"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9994000196456909,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9994000196456909,"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/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/T11106","display_name":"Data Management and Algorithms","score":0.9976000189781189,"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/computer-science","display_name":"Computer science","score":0.8319170475006104},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5912810564041138},{"id":"https://openalex.org/keywords/spurious-relationship","display_name":"Spurious relationship","score":0.5898430347442627},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5775063037872314},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.5247664451599121},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.5186663866043091},{"id":"https://openalex.org/keywords/imputation","display_name":"Imputation (statistics)","score":0.5103947520256042},{"id":"https://openalex.org/keywords/rule-based-system","display_name":"Rule-based system","score":0.4816383421421051},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.45709648728370667},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24773690104484558},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.21135622262954712},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.20142468810081482}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8319170475006104},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5912810564041138},{"id":"https://openalex.org/C97256817","wikidata":"https://www.wikidata.org/wiki/Q1462316","display_name":"Spurious relationship","level":2,"score":0.5898430347442627},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5775063037872314},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.5247664451599121},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.5186663866043091},{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.5103947520256042},{"id":"https://openalex.org/C149271511","wikidata":"https://www.wikidata.org/wiki/Q1417149","display_name":"Rule-based system","level":2,"score":0.4816383421421051},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.45709648728370667},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24773690104484558},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.21135622262954712},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.20142468810081482}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc42975.2020.9283005","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc42975.2020.9283005","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W179441860","https://openalex.org/W2040348939","https://openalex.org/W2046298800","https://openalex.org/W2072173758","https://openalex.org/W2137775416","https://openalex.org/W2164187405","https://openalex.org/W2245236296","https://openalex.org/W2466758040","https://openalex.org/W2616147950","https://openalex.org/W2726342193","https://openalex.org/W2750930603","https://openalex.org/W2763988610","https://openalex.org/W2896587760","https://openalex.org/W2897015042","https://openalex.org/W2902101153","https://openalex.org/W2953102298","https://openalex.org/W4313371817","https://openalex.org/W4321508312","https://openalex.org/W6607278922","https://openalex.org/W6680599078","https://openalex.org/W6690848749","https://openalex.org/W6743771130","https://openalex.org/W6755284860"],"related_works":["https://openalex.org/W2181530120","https://openalex.org/W4211215373","https://openalex.org/W2024529227","https://openalex.org/W2055961818","https://openalex.org/W1574575415","https://openalex.org/W3144172081","https://openalex.org/W3179858851","https://openalex.org/W3028371478","https://openalex.org/W2081476516","https://openalex.org/W2581984549"],"abstract_inverted_index":{"This":[0],"paper":[1,73,107,158],"solves":[2],"the":[3,35,83,97,100,116,140,143],"problem":[4,54],"of":[5,37,85,102,130,145],"correcting":[6,32],"database":[7,24,117,173],"completion":[8,25,118,174],"rules,":[9,34,122],"imputing":[10],"missing":[11,169],"rule":[12,42,49,170],"conditions,":[13],"and":[14,18,67,128],"executing":[15],"them":[16],"interactively":[17],"efficiently.":[19],"Often":[20],"in":[21,47,99,142,172],"real-world":[22],"scenarios,":[23],"rules":[26,166],"have":[27],"syntactic":[28],"errors.":[29],"Even":[30],"after":[31],"these":[33],"process":[36,101,119,144],"correction":[38],"can":[39,45],"introduce":[40],"spurious":[41],"conditions":[43,171],"that":[44],"result":[46],"inefficient":[48],"execution.":[50],"We":[51,90,132],"solve":[52],"this":[53],"by":[55],"leveraging":[56,68],"programming-by-example":[57,77],"data":[58,61,78,113],"transformations,":[59],"sketching":[60,112],"structures":[62,114],"such":[63],"as":[64],"bloom":[65],"filters,":[66],"entity":[69,164],"resolution":[70,165],"rules.":[71,175],"The":[72,106,157],"proposes":[74,109,160],"to":[75,95,110,138,161,167],"use":[76,111],"transformations":[79],"along":[80,123],"with":[81,124],"reducing":[82,125],"size":[84],"examples":[86],"generated":[87],"for":[88,115],"it.":[89],"build":[91,134],"upon":[92,135],"current":[93],"work":[94,137],"involve":[96,139],"user":[98,141],"making":[103,146],"PBE":[104],"examples.":[105],"also":[108,154,159],"under":[120],"dynamic":[121],"their":[126],"numbers":[127],"sizes":[129],"them.":[131],"again":[133],"existing":[136],"a":[147],"summary":[148],"on":[149],"an":[150],"incomplete":[151],"database,":[152],"which":[153],"increases":[155],"efficiency.":[156],"efficiently":[162],"leverage":[163],"find":[168]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
