{"id":"https://openalex.org/W3189771031","doi":"https://doi.org/10.24963/ijcai.2021/677","title":"An Information-Theoretic Approach on Causal Structure Learning for Heterogeneous Data Characteristics of Real-World Scenarios","display_name":"An Information-Theoretic Approach on Causal Structure Learning for Heterogeneous Data Characteristics of Real-World Scenarios","publication_year":2021,"publication_date":"2021-08-01","ids":{"openalex":"https://openalex.org/W3189771031","doi":"https://doi.org/10.24963/ijcai.2021/677","mag":"3189771031"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2021/677","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/677","pdf_url":"https://www.ijcai.org/proceedings/2021/0677.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2021/0677.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073292214","display_name":"Johannes Huegle","orcid":null},"institutions":[{"id":"https://openalex.org/I143288331","display_name":"Hasso Plattner Institute","ror":"https://ror.org/058rn5r42","country_code":"DE","type":"facility","lineage":["https://openalex.org/I143288331","https://openalex.org/I176453806"]},{"id":"https://openalex.org/I176453806","display_name":"University of Potsdam","ror":"https://ror.org/03bnmw459","country_code":"DE","type":"education","lineage":["https://openalex.org/I176453806"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Johannes Huegle","raw_affiliation_strings":["University of Potsdam, Hasso Plattner Institute, Potsdam, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Potsdam, Hasso Plattner Institute, Potsdam, Germany","institution_ids":["https://openalex.org/I143288331","https://openalex.org/I176453806"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5073292214"],"corresponding_institution_ids":["https://openalex.org/I143288331","https://openalex.org/I176453806"],"apc_list":null,"apc_paid":null,"fwci":0.4396,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.61514334,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"4891","last_page":"4892"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.987500011920929,"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"}},"topics":[{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.987500011920929,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9868999719619751,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9706000089645386,"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/computer-science","display_name":"Computer science","score":0.668910026550293},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.6181960105895996},{"id":"https://openalex.org/keywords/conditional-independence","display_name":"Conditional independence","score":0.6170912981033325},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5743817090988159},{"id":"https://openalex.org/keywords/modular-design","display_name":"Modular design","score":0.5671220421791077},{"id":"https://openalex.org/keywords/independence","display_name":"Independence (probability theory)","score":0.5136932730674744},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.46460670232772827},{"id":"https://openalex.org/keywords/causal-model","display_name":"Causal model","score":0.4376929998397827},{"id":"https://openalex.org/keywords/transferability","display_name":"Transferability","score":0.4223599135875702},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3780971169471741},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37503787875175476},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3262982964515686},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12018635869026184}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.668910026550293},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.6181960105895996},{"id":"https://openalex.org/C79772020","wikidata":"https://www.wikidata.org/wiki/Q5159264","display_name":"Conditional independence","level":2,"score":0.6170912981033325},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5743817090988159},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.5671220421791077},{"id":"https://openalex.org/C35651441","wikidata":"https://www.wikidata.org/wiki/Q625303","display_name":"Independence (probability theory)","level":2,"score":0.5136932730674744},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.46460670232772827},{"id":"https://openalex.org/C11671645","wikidata":"https://www.wikidata.org/wiki/Q5054567","display_name":"Causal model","level":2,"score":0.4376929998397827},{"id":"https://openalex.org/C61272859","wikidata":"https://www.wikidata.org/wiki/Q7834031","display_name":"Transferability","level":3,"score":0.4223599135875702},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3780971169471741},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37503787875175476},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3262982964515686},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12018635869026184},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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},{"id":"https://openalex.org/C140331021","wikidata":"https://www.wikidata.org/wiki/Q1868104","display_name":"Logit","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2021/677","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/677","pdf_url":"https://www.ijcai.org/proceedings/2021/0677.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2021/677","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/677","pdf_url":"https://www.ijcai.org/proceedings/2021/0677.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3189771031.pdf","grobid_xml":"https://content.openalex.org/works/W3189771031.grobid-xml"},"referenced_works_count":6,"referenced_works":["https://openalex.org/W2750765126","https://openalex.org/W2945949586","https://openalex.org/W2963993898","https://openalex.org/W3041187887","https://openalex.org/W3098590676","https://openalex.org/W4302423442"],"related_works":["https://openalex.org/W2975391434","https://openalex.org/W4288101976","https://openalex.org/W4387566542","https://openalex.org/W3091100779","https://openalex.org/W2239618487","https://openalex.org/W4200510307","https://openalex.org/W2225091985","https://openalex.org/W2093587551","https://openalex.org/W3131488744","https://openalex.org/W2952088703"],"abstract_inverted_index":{"While":[0],"the":[1,4,18,38,41,65,82,92,115],"knowledge":[2],"about":[3],"structures":[5],"of":[6,20,43,102,117],"a":[7,77,87],"system\u2019s":[8],"underlying":[9],"causal":[10,28,72],"relationships":[11],"is":[12],"crucial":[13],"within":[14,104],"many":[15],"real-world":[16,106],"scenarios,":[17],"omnipresence":[19],"heterogeneous":[21],"data":[22],"characteristics":[23],"impedes":[24],"applying":[25],"methods":[26,61],"for":[27,40,62,67,86],"structure":[29],"learning":[30],"(CSL).":[31],"In":[32],"this":[33],"dissertation":[34],"project,":[35],"we":[36],"reduce":[37],"barriers":[39],"transfer":[42],"CSL":[44,103],"into":[45,60,94],"practice":[46],"with":[47],"threefold":[48],"contributions:":[49],"(1)":[50],"We":[51,75,97],"derive":[52],"an":[53],"information-theoretic":[54],"conditional":[55],"independence":[56],"test":[57],"that,":[58],"incorporated":[59],"CSL,":[63],"improves":[64],"accuracy":[66,116],"non-linear":[68],"and":[69,100,110],"mixed":[70],"discrete-continuous":[71],"relationships;":[73],"(2)":[74],"develop":[76],"modular":[78],"pipeline":[79],"that":[80],"covers":[81],"essential":[83],"components":[84],"required":[85],"comprehensive":[88],"benchmarking":[89],"to":[90,113],"support":[91],"transferability":[93],"practice;":[95],"(3)":[96],"evaluate":[98],"opportunities":[99],"challenges":[101],"different":[105],"scenarios":[107],"from":[108],"genetics":[109],"discrete":[111],"manufacturing":[112],"demonstrate":[114],"our":[118],"approach":[119],"in":[120],"practice.":[121]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
