{"id":"https://openalex.org/W1932925828","doi":"https://doi.org/10.1007/978-1-4612-2404-4_14","title":"Learning Possibilistic Networks from Data","display_name":"Learning Possibilistic Networks from Data","publication_year":1996,"publication_date":"1996-01-01","ids":{"openalex":"https://openalex.org/W1932925828","doi":"https://doi.org/10.1007/978-1-4612-2404-4_14","mag":"1932925828"},"language":"en","primary_location":{"id":"doi:10.1007/978-1-4612-2404-4_14","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-1-4612-2404-4_14","pdf_url":null,"source":{"id":"https://openalex.org/S4210230340","display_name":"Lecture notes in statistics","issn_l":"0930-0325","issn":["0930-0325","2197-7186"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Statistics","raw_type":"book-chapter"},"type":"book-chapter","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/A5061085668","display_name":"J\u00f6rg Gebhardt","orcid":null},"institutions":[{"id":"https://openalex.org/I94509681","display_name":"Technische Universit\u00e4t Braunschweig","ror":"https://ror.org/010nsgg66","country_code":"DE","type":"education","lineage":["https://openalex.org/I94509681"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"J\u00f6rg Gebhardt","raw_affiliation_strings":["Department of Mathematics and Computer Science, University of Braunschweig, Braunschweig, Germany","Dept. of Math. & Comput. Sci., Braunschweig Univ., Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computer Science, University of Braunschweig, Braunschweig, Germany","institution_ids":["https://openalex.org/I94509681"]},{"raw_affiliation_string":"Dept. of Math. & Comput. Sci., Braunschweig Univ., Germany","institution_ids":["https://openalex.org/I94509681"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082293980","display_name":"Rudolf Kruse","orcid":"https://orcid.org/0000-0003-4981-2758"},"institutions":[{"id":"https://openalex.org/I94509681","display_name":"Technische Universit\u00e4t Braunschweig","ror":"https://ror.org/010nsgg66","country_code":"DE","type":"education","lineage":["https://openalex.org/I94509681"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Rudolf Kruse","raw_affiliation_strings":["Department of Mathematics and Computer Science, University of Braunschweig, Braunschweig, Germany","Dept. of Math. & Comput. Sci., Braunschweig Univ., Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computer Science, University of Braunschweig, Braunschweig, Germany","institution_ids":["https://openalex.org/I94509681"]},{"raw_affiliation_string":"Dept. of Math. & Comput. Sci., Braunschweig Univ., Germany","institution_ids":["https://openalex.org/I94509681"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.2217,"has_fulltext":false,"cited_by_count":52,"citation_normalized_percentile":{"value":0.95958689,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"143","last_page":"153"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9998999834060669,"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":0.9998999834060669,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10050","display_name":"Multi-Criteria Decision Making","score":0.9869999885559082,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.7105647325515747},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.6927120089530945},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6398775577545166},{"id":"https://openalex.org/keywords/realization","display_name":"Realization (probability)","score":0.6388099789619446},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6104171872138977},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5485329627990723},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5113405585289001},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4136381447315216},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39634811878204346},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39132803678512573},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3291381299495697},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26118698716163635},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09688720107078552}],"concepts":[{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.7105647325515747},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.6927120089530945},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6398775577545166},{"id":"https://openalex.org/C2781089630","wikidata":"https://www.wikidata.org/wiki/Q21856745","display_name":"Realization (probability)","level":2,"score":0.6388099789619446},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6104171872138977},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5485329627990723},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5113405585289001},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4136381447315216},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39634811878204346},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39132803678512573},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3291381299495697},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26118698716163635},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09688720107078552},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/978-1-4612-2404-4_14","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-1-4612-2404-4_14","pdf_url":null,"source":{"id":"https://openalex.org/S4210230340","display_name":"Lecture notes in statistics","issn_l":"0930-0325","issn":["0930-0325","2197-7186"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Statistics","raw_type":"book-chapter"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.53.8451","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.53.8451","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.vuse.vanderbilt.edu/~dfisher/ai-stat-book/book.14.ps","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.55.6453","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.55.6453","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ftp://fuzzy.cs.uni-magdeburg.de/pub/papers/learn_poss_net.ps.gz","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W89983288","https://openalex.org/W600017781","https://openalex.org/W1488085895","https://openalex.org/W1495481456","https://openalex.org/W1518076737","https://openalex.org/W1530753374","https://openalex.org/W1545744341","https://openalex.org/W1565956208","https://openalex.org/W1606292566","https://openalex.org/W1709414455","https://openalex.org/W1805220623","https://openalex.org/W1968632568","https://openalex.org/W1975062332","https://openalex.org/W2008906462","https://openalex.org/W2017215485","https://openalex.org/W2017318108","https://openalex.org/W2019950953","https://openalex.org/W2024768126","https://openalex.org/W2072785503","https://openalex.org/W2114367726","https://openalex.org/W2120415414","https://openalex.org/W2122701761","https://openalex.org/W2142335578","https://openalex.org/W2159080219","https://openalex.org/W2797148637","https://openalex.org/W3183185903","https://openalex.org/W4214637188","https://openalex.org/W4230588984","https://openalex.org/W4301347335","https://openalex.org/W4388323696","https://openalex.org/W6631977211"],"related_works":["https://openalex.org/W2022544890","https://openalex.org/W2394097730","https://openalex.org/W2475378634","https://openalex.org/W4312353617","https://openalex.org/W2113405914","https://openalex.org/W2260963831","https://openalex.org/W4235249401","https://openalex.org/W2331305369","https://openalex.org/W4388311650","https://openalex.org/W5922282"],"abstract_inverted_index":null,"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2013,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
