{"id":"https://openalex.org/W1520618518","doi":"https://doi.org/10.1007/978-3-540-24674-9_31","title":"Hierarchical Bayesian Networks: An Approach to Classification and Learning for Structured Data","display_name":"Hierarchical Bayesian Networks: An Approach to Classification and Learning for Structured Data","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W1520618518","doi":"https://doi.org/10.1007/978-3-540-24674-9_31","mag":"1520618518"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-540-24674-9_31","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-540-24674-9_31","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","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/A5010440191","display_name":"Elias Gyftodimos","orcid":null},"institutions":[{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Elias Gyftodimos","raw_affiliation_strings":["Machine Learning Group,Department of Computer Science, University of Bristol, UK"],"affiliations":[{"raw_affiliation_string":"Machine Learning Group,Department of Computer Science, University of Bristol, UK","institution_ids":["https://openalex.org/I36234482"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057936560","display_name":"Peter Flach","orcid":"https://orcid.org/0000-0001-6857-5810"},"institutions":[{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Peter A. Flach","raw_affiliation_strings":["Machine Learning Group,Department of Computer Science, University of Bristol, UK"],"affiliations":[{"raw_affiliation_string":"Machine Learning Group,Department of Computer Science, University of Bristol, UK","institution_ids":["https://openalex.org/I36234482"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5010440191"],"corresponding_institution_ids":["https://openalex.org/I36234482"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":2.9562,"has_fulltext":false,"cited_by_count":47,"citation_normalized_percentile":{"value":0.92253363,"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":"291","last_page":"300"},"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/T11719","display_name":"Data Quality and Management","score":0.9768999814987183,"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":0.930400013923645,"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":0.8500081300735474},{"id":"https://openalex.org/keywords/rotation-formalisms-in-three-dimensions","display_name":"Rotation formalisms in three dimensions","score":0.6840276122093201},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.6733213067054749},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5864865183830261},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5256986618041992},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5135445594787598},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.505054771900177},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.49552857875823975},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.44742751121520996},{"id":"https://openalex.org/keywords/variable-order-bayesian-network","display_name":"Variable-order Bayesian network","score":0.4161011278629303},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3710988163948059},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35543686151504517},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07019126415252686}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8500081300735474},{"id":"https://openalex.org/C171018156","wikidata":"https://www.wikidata.org/wiki/Q7370306","display_name":"Rotation formalisms in three dimensions","level":2,"score":0.6840276122093201},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.6733213067054749},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5864865183830261},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5256986618041992},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5135445594787598},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.505054771900177},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.49552857875823975},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.44742751121520996},{"id":"https://openalex.org/C71983512","wikidata":"https://www.wikidata.org/wiki/Q7915687","display_name":"Variable-order Bayesian network","level":4,"score":0.4161011278629303},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3710988163948059},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35543686151504517},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07019126415252686},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1007/978-3-540-24674-9_31","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-540-24674-9_31","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.66.6344","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.66.6344","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.bris.ac.uk/Publications/Papers/2000217.pdf","raw_type":"text"},{"id":"pmh:oai:research-information.bris.ac.uk:openaire_cris_publications/3ce4ca9e-53db-4b4d-83f6-c50fbb11ded2","is_oa":false,"landing_page_url":"http://www.cs.bris.ac.uk/Publications/pub_info.jsp?id=2000074","pdf_url":null,"source":{"id":"https://openalex.org/S4306400895","display_name":"Bristol Research (University of Bristol)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I36234482","host_organization_name":"University of Bristol","host_organization_lineage":["https://openalex.org/I36234482"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Gyftodimos, E & Flach, PA 2003, Hierarchical Bayesian Networks: an Approach to Classification and Learning for Structured Data. in Unknown. Ruder Boskovic Institute, Zagreb, Croatia, pp. 25 - 36. < http://www.cs.bris.ac.uk/Publications/pub_info.jsp?id=2000074 >","raw_type":"contributionToPeriodical"},{"id":"pmh:oai:research-information.bris.ac.uk:openaire_cris_publications/4fd37051-a9f9-4d0c-a792-3be654eb2547","is_oa":false,"landing_page_url":"https://research-information.bris.ac.uk/en/publications/4fd37051-a9f9-4d0c-a792-3be654eb2547","pdf_url":null,"source":{"id":"https://openalex.org/S7407055359","display_name":"Explore Bristol Research","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":"Gyftodimos, E & Flach, PA 2004, Hierarchical Bayesian Networks: An Approach to Classification and Learning for Structured Data. in G A Vouros & T Panayiotopoulos (eds), Unknown. Springer, pp. 291 - 300. < http://www.cs.bris.ac.uk/Publications/pub_info.jsp?id=2000217 >","raw_type":"contributionToPeriodical"},{"id":"pmh:oai:research-information.bris.ac.uk:publications/3ce4ca9e-53db-4b4d-83f6-c50fbb11ded2","is_oa":false,"landing_page_url":"https://research-information.bris.ac.uk/en/publications/3ce4ca9e-53db-4b4d-83f6-c50fbb11ded2","pdf_url":null,"source":{"id":"https://openalex.org/S7407055359","display_name":"Explore Bristol Research","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":"Gyftodimos, E & Flach, PA 2003, Hierarchical Bayesian Networks: an Approach to Classification and Learning for Structured Data. in Unknown. Ruder Boskovic Institute, Zagreb, Croatia, pp. 25 - 36. < http://www.cs.bris.ac.uk/Publications/pub_info.jsp?id=2000074 >","raw_type":"contributionToPeriodical"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5099999904632568,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W175207608","https://openalex.org/W1530235063","https://openalex.org/W1552508833","https://openalex.org/W1571041481","https://openalex.org/W1581645897","https://openalex.org/W1608748481","https://openalex.org/W1642634819","https://openalex.org/W1723714545","https://openalex.org/W1817561967","https://openalex.org/W1822879401","https://openalex.org/W1988814833","https://openalex.org/W2008906462","https://openalex.org/W2054658115","https://openalex.org/W2061529719","https://openalex.org/W2073245587","https://openalex.org/W2111221376","https://openalex.org/W2159080219","https://openalex.org/W2497826135","https://openalex.org/W2503474909","https://openalex.org/W2911823491","https://openalex.org/W3114911410"],"related_works":["https://openalex.org/W2383034311","https://openalex.org/W2592745513","https://openalex.org/W643788828","https://openalex.org/W2391701421","https://openalex.org/W201565394","https://openalex.org/W4309448762","https://openalex.org/W2353852789","https://openalex.org/W1700460858","https://openalex.org/W4211221765","https://openalex.org/W2417824324"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}