{"id":"https://openalex.org/W4395066991","doi":"https://doi.org/10.1007/978-981-97-2242-6_22","title":"Distributed MCMC Inference for\u00a0Bayesian Non-parametric Latent Block Model","display_name":"Distributed MCMC Inference for\u00a0Bayesian Non-parametric Latent Block Model","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4395066991","doi":"https://doi.org/10.1007/978-981-97-2242-6_22"},"language":"en","primary_location":{"id":"doi:10.1007/978-981-97-2242-6_22","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-981-97-2242-6_22","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":true,"oa_status":"green","oa_url":"https://hal.science/hal-04623748v1/file/2402.01050v1.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088639098","display_name":"Reda Khoufache","orcid":null},"institutions":[{"id":"https://openalex.org/I195731000","display_name":"Universit\u00e9 de Versailles Saint-Quentin-en-Yvelines","ror":"https://ror.org/03mkjjy25","country_code":"FR","type":"education","lineage":["https://openalex.org/I195731000","https://openalex.org/I277688954"]},{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I4390039268","display_name":"Donn\u00e9es et algorithmes pour une ville intelligente et durable","ror":"https://ror.org/01xta2p78","country_code":"FR","type":"facility","lineage":["https://openalex.org/I195731000","https://openalex.org/I277688954","https://openalex.org/I4390039268"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Reda Khoufache","raw_affiliation_strings":["Paris-Saclay University, UVSQ, David Lab, 78035, Versailles, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Paris-Saclay University, UVSQ, David Lab, 78035, Versailles, France","institution_ids":["https://openalex.org/I195731000","https://openalex.org/I277688954","https://openalex.org/I4390039268"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093868314","display_name":"Anisse Belhadj","orcid":null},"institutions":[{"id":"https://openalex.org/I195731000","display_name":"Universit\u00e9 de Versailles Saint-Quentin-en-Yvelines","ror":"https://ror.org/03mkjjy25","country_code":"FR","type":"education","lineage":["https://openalex.org/I195731000","https://openalex.org/I277688954"]},{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I4390039268","display_name":"Donn\u00e9es et algorithmes pour une ville intelligente et durable","ror":"https://ror.org/01xta2p78","country_code":"FR","type":"facility","lineage":["https://openalex.org/I195731000","https://openalex.org/I277688954","https://openalex.org/I4390039268"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Anisse Belhadj","raw_affiliation_strings":["Paris-Saclay University, UVSQ, David Lab, 78035, Versailles, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Paris-Saclay University, UVSQ, David Lab, 78035, Versailles, France","institution_ids":["https://openalex.org/I195731000","https://openalex.org/I277688954","https://openalex.org/I4390039268"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113698150","display_name":"Hanene Azzag","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210091279","display_name":"Universit\u00e9 Sorbonne Paris Nord","ror":"https://ror.org/0199hds37","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210091279"]},{"id":"https://openalex.org/I4210156583","display_name":"Laboratoire d'Informatique de Paris-Nord","ror":"https://ror.org/05g1zjw44","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210091279","https://openalex.org/I4210156583","https://openalex.org/I4210159245"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Hanene Azzag","raw_affiliation_strings":["LIPN (UMR CNRS 7030), Sorbonne Paris Nord University, Villetaneuse, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LIPN (UMR CNRS 7030), Sorbonne Paris Nord University, Villetaneuse, France","institution_ids":["https://openalex.org/I4210156583","https://openalex.org/I1294671590","https://openalex.org/I4210091279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023422312","display_name":"Mustapha Lebbah","orcid":"https://orcid.org/0000-0001-7245-6371"},"institutions":[{"id":"https://openalex.org/I195731000","display_name":"Universit\u00e9 de Versailles Saint-Quentin-en-Yvelines","ror":"https://ror.org/03mkjjy25","country_code":"FR","type":"education","lineage":["https://openalex.org/I195731000","https://openalex.org/I277688954"]},{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I4390039268","display_name":"Donn\u00e9es et algorithmes pour une ville intelligente et durable","ror":"https://ror.org/01xta2p78","country_code":"FR","type":"facility","lineage":["https://openalex.org/I195731000","https://openalex.org/I277688954","https://openalex.org/I4390039268"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Mustapha Lebbah","raw_affiliation_strings":["Paris-Saclay University, UVSQ, David Lab, 78035, Versailles, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Paris-Saclay University, UVSQ, David Lab, 78035, Versailles, France","institution_ids":["https://openalex.org/I195731000","https://openalex.org/I277688954","https://openalex.org/I4390039268"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5088639098"],"corresponding_institution_ids":["https://openalex.org/I195731000","https://openalex.org/I277688954","https://openalex.org/I4390039268"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.7277,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.66062373,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"271","last_page":"283"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9988999962806702,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9988999962806702,"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/T10885","display_name":"Gene expression and cancer classification","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9944999814033508,"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":0.7950040698051453},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.7911562919616699},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5439704060554504},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5112903118133545},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.4844474792480469},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.46843037009239197},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.43922486901283264},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.41734522581100464},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"Hierarchical clustering","score":0.41022759675979614},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4097106158733368},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3757467269897461},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32160061597824097},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14987918734550476},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0922759473323822}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7950040698051453},{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.7911562919616699},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5439704060554504},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5112903118133545},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4844474792480469},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.46843037009239197},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.43922486901283264},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.41734522581100464},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.41022759675979614},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4097106158733368},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3757467269897461},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32160061597824097},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14987918734550476},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0922759473323822},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-981-97-2242-6_22","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-981-97-2242-6_22","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:HAL:hal-04623748v1","is_oa":true,"landing_page_url":"https://hal.science/hal-04623748","pdf_url":"https://hal.science/hal-04623748v1/file/2402.01050v1.pdf","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, May 2024, Taipei, Taiwan. pp.271-283, ⟨10.1007/978-981-97-2242-6_22⟩","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-04623748v1","is_oa":true,"landing_page_url":"https://hal.science/hal-04623748","pdf_url":"https://hal.science/hal-04623748v1/file/2402.01050v1.pdf","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, May 2024, Taipei, Taiwan. pp.271-283, ⟨10.1007/978-981-97-2242-6_22⟩","raw_type":"Conference papers"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4395066991.pdf","grobid_xml":"https://content.openalex.org/works/W4395066991.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W129305155","https://openalex.org/W1551136530","https://openalex.org/W1950187626","https://openalex.org/W1979377971","https://openalex.org/W1990620577","https://openalex.org/W2002246965","https://openalex.org/W2080295262","https://openalex.org/W2080972498","https://openalex.org/W2127164716","https://openalex.org/W2144317357","https://openalex.org/W2165021061","https://openalex.org/W2562050914","https://openalex.org/W3207736775","https://openalex.org/W4235169531","https://openalex.org/W4285615452","https://openalex.org/W6963849513"],"related_works":["https://openalex.org/W3087071515","https://openalex.org/W4283077537","https://openalex.org/W2999603699","https://openalex.org/W2464065341","https://openalex.org/W2947536360","https://openalex.org/W3086697448","https://openalex.org/W2968689489","https://openalex.org/W4302573481","https://openalex.org/W2372267530","https://openalex.org/W2505308168"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-05-07T13:39:58.223016","created_date":"2025-10-10T00:00:00"}