{"id":"https://openalex.org/W4312796233","doi":"https://doi.org/10.1109/case49997.2022.9926420","title":"CIPCaD-Bench: Continuous Industrial Process datasets for benchmarking Causal Discovery methods","display_name":"CIPCaD-Bench: Continuous Industrial Process datasets for benchmarking Causal Discovery methods","publication_year":2022,"publication_date":"2022-08-20","ids":{"openalex":"https://openalex.org/W4312796233","doi":"https://doi.org/10.1109/case49997.2022.9926420"},"language":"en","primary_location":{"id":"doi:10.1109/case49997.2022.9926420","is_oa":false,"landing_page_url":"https://doi.org/10.1109/case49997.2022.9926420","pdf_url":null,"source":{"id":"https://openalex.org/S4363607892","display_name":"2022 IEEE 18th International Conference on Automation Science and Engineering (CASE)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 18th International Conference on Automation Science and Engineering (CASE)","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/A5077595502","display_name":"Giovanni Menegozzo","orcid":"https://orcid.org/0000-0002-3176-4383"},"institutions":[{"id":"https://openalex.org/I119439378","display_name":"University of Verona","ror":"https://ror.org/039bp8j42","country_code":"IT","type":"education","lineage":["https://openalex.org/I119439378"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Giovanni Menegozzo","raw_affiliation_strings":["University of Verona,Department of Computer Science,Verona,Italy,37100"],"affiliations":[{"raw_affiliation_string":"University of Verona,Department of Computer Science,Verona,Italy,37100","institution_ids":["https://openalex.org/I119439378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072250553","display_name":"Diego Dall\u2019Alba","orcid":"https://orcid.org/0000-0002-7300-5975"},"institutions":[{"id":"https://openalex.org/I119439378","display_name":"University of Verona","ror":"https://ror.org/039bp8j42","country_code":"IT","type":"education","lineage":["https://openalex.org/I119439378"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Diego Dall'Alba","raw_affiliation_strings":["University of Verona,Department of Computer Science,Verona,Italy,37100"],"affiliations":[{"raw_affiliation_string":"University of Verona,Department of Computer Science,Verona,Italy,37100","institution_ids":["https://openalex.org/I119439378"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065107543","display_name":"Paolo Fiorini","orcid":"https://orcid.org/0000-0002-0711-8605"},"institutions":[{"id":"https://openalex.org/I119439378","display_name":"University of Verona","ror":"https://ror.org/039bp8j42","country_code":"IT","type":"education","lineage":["https://openalex.org/I119439378"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Paolo Fiorini","raw_affiliation_strings":["University of Verona,Department of Computer Science,Verona,Italy,37100"],"affiliations":[{"raw_affiliation_string":"University of Verona,Department of Computer Science,Verona,Italy,37100","institution_ids":["https://openalex.org/I119439378"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5077595502"],"corresponding_institution_ids":["https://openalex.org/I119439378"],"apc_list":null,"apc_paid":null,"fwci":2.8315,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.92876272,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"2124","last_page":"2131"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9822999835014343,"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":0.9822999835014343,"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/T10703","display_name":"Business Process Modeling and Analysis","score":0.9714999794960022,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9595999717712402,"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/benchmarking","display_name":"Benchmarking","score":0.9339298009872437},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7536669373512268},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.618615984916687},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5349537134170532},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4136319160461426},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.380444198846817}],"concepts":[{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.9339298009872437},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7536669373512268},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.618615984916687},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5349537134170532},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4136319160461426},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.380444198846817},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/case49997.2022.9926420","is_oa":false,"landing_page_url":"https://doi.org/10.1109/case49997.2022.9926420","pdf_url":null,"source":{"id":"https://openalex.org/S4363607892","display_name":"2022 IEEE 18th International Conference on Automation Science and Engineering (CASE)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 18th International Conference on Automation Science and Engineering (CASE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320311649","display_name":"Ministry of Education","ror":"https://ror.org/036nq5137"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1500567887","https://openalex.org/W1550696814","https://openalex.org/W1969871621","https://openalex.org/W2004186751","https://openalex.org/W2032051522","https://openalex.org/W2099789075","https://openalex.org/W2110603299","https://openalex.org/W2132507555","https://openalex.org/W2142857211","https://openalex.org/W2143288231","https://openalex.org/W2151226328","https://openalex.org/W2155573334","https://openalex.org/W2297288734","https://openalex.org/W2593118993","https://openalex.org/W2728229829","https://openalex.org/W2885305518","https://openalex.org/W2917286209","https://openalex.org/W2935788686","https://openalex.org/W2948579453","https://openalex.org/W2952369555","https://openalex.org/W2980630660","https://openalex.org/W2981359705","https://openalex.org/W3036069262","https://openalex.org/W3088037555","https://openalex.org/W3092109552","https://openalex.org/W3101150805","https://openalex.org/W3133932964","https://openalex.org/W3135588948","https://openalex.org/W3137756630","https://openalex.org/W3156356768","https://openalex.org/W3177428400","https://openalex.org/W3181858871","https://openalex.org/W3187238269","https://openalex.org/W4205248296","https://openalex.org/W4205908624","https://openalex.org/W4288101893","https://openalex.org/W6631552155","https://openalex.org/W6639134244","https://openalex.org/W6679853467","https://openalex.org/W6682361391","https://openalex.org/W6683167872","https://openalex.org/W6740205426","https://openalex.org/W6754506371","https://openalex.org/W6761212110","https://openalex.org/W6767750290","https://openalex.org/W6780392805","https://openalex.org/W6790955966","https://openalex.org/W6794769605","https://openalex.org/W6804963293","https://openalex.org/W6944631769"],"related_works":["https://openalex.org/W2999063186","https://openalex.org/W3009603553","https://openalex.org/W2127025027","https://openalex.org/W1848359393","https://openalex.org/W2155350564","https://openalex.org/W2140973798","https://openalex.org/W2796304651","https://openalex.org/W2965559317","https://openalex.org/W2054016504","https://openalex.org/W2780011894"],"abstract_inverted_index":{"Causal":[0,31],"relationships":[1],"are":[2,124,167],"commonly":[3],"examined":[4],"in":[5,78,150],"manufacturing":[6,80,106],"processes":[7],"to":[8,46,126],"support":[9],"faults":[10],"investigations,":[11],"perform":[12],"interventions,":[13],"and":[14,64,94,108,135],"make":[15],"strategic":[16],"decisions.":[17],"Industry":[18],"4.0":[19],"has":[20],"made":[21],"available":[22,53,168],"an":[23,103],"increasing":[24],"amount":[25],"of":[26,38,66,113,141,156],"data":[27],"that":[28],"enable":[29],"data-driven":[30],"Discovery":[32],"(CD).":[33],"Considering":[34],"the":[35,58,86,114,154,157,170],"growing":[36],"number":[37],"recently":[39],"proposed":[40],"CD":[41,77,142,148],"methods,":[42],"it":[43,109],"is":[44,100],"necessary":[45],"introduce":[47],"strict":[48],"benchmarking":[49,129],"procedures":[50],"on":[51,132,137],"publicly":[52],"datasets":[54,75,123,166],"since":[55],"they":[56],"represent":[57],"foundation":[59],"for":[60,76,91,161],"a":[61,111,128,138],"fair":[62],"comparison":[63],"validation":[65],"different":[67,133],"methods.":[68],"This":[69,144],"work":[70,145],"introduces":[71],"two":[72],"novel":[73],"public":[74],"continuous":[79],"processes.":[81],"The":[82,97,165],"first":[83],"dataset":[84,99],"employs":[85],"well-known":[87],"Tennessee":[88],"Eastman":[89],"simulator":[90],"fault":[92],"detection":[93],"process":[95],"control.":[96],"second":[98],"extracted":[101],"from":[102],"ultra-processed":[104],"food":[105],"plant,":[107,115],"includes":[110],"description":[112],"as":[116,118],"well":[117],"multiple":[119],"ground":[120],"truths.":[121],"These":[122],"used":[125],"propose":[127],"procedure":[130],"based":[131],"metrics":[134],"evaluated":[136],"wide":[139],"selection":[140,155],"algorithms.":[143],"allows":[146],"testing":[147],"methods":[149],"realistic":[151],"conditions":[152],"enabling":[153],"most":[158],"suitable":[159],"method":[160],"specific":[162],"target":[163],"applications.":[164],"at":[169],"following":[171],"link:":[172],"[https://github.com/giovanniMen]":[173]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}