{"id":"https://openalex.org/W151869724","doi":"https://doi.org/10.1007/978-3-642-40728-4_2","title":"Model-Based Clustering of Temporal Data","display_name":"Model-Based Clustering of Temporal Data","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W151869724","doi":"https://doi.org/10.1007/978-3-642-40728-4_2","mag":"151869724"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-642-40728-4_2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-40728-4_2","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":"preprint","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/A5082366576","display_name":"Hani El Assaad","orcid":"https://orcid.org/0000-0003-3437-2251"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Hani El Assaad","raw_affiliation_strings":["IFSTTAR, GRETTIA, Universit\u00e9 Paris-Est, Champs-Sur-Marne, France","IFSTTAR/COSYS/GRETTIA - G\u00e9nie des R\u00e9seaux de Transport Terrestres et Informatique Avanc\u00e9e (14-20 Boulevard Newton - Cit\u00e9 Descartes, Champs sur Marne - F-77447 Marne la Vall\u00e9e Cedex 2 - France)"],"affiliations":[{"raw_affiliation_string":"IFSTTAR, GRETTIA, Universit\u00e9 Paris-Est, Champs-Sur-Marne, France","institution_ids":[]},{"raw_affiliation_string":"IFSTTAR/COSYS/GRETTIA - G\u00e9nie des R\u00e9seaux de Transport Terrestres et Informatique Avanc\u00e9e (14-20 Boulevard Newton - Cit\u00e9 Descartes, Champs sur Marne - F-77447 Marne la Vall\u00e9e Cedex 2 - France)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076973948","display_name":"Allou Sam\u00e9","orcid":"https://orcid.org/0000-0003-1531-6019"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Allou Sam\u00e9","raw_affiliation_strings":["IFSTTAR, GRETTIA, Universit\u00e9 Paris-Est, Champs-Sur-Marne, France","IFSTTAR/COSYS/GRETTIA - G\u00e9nie des R\u00e9seaux de Transport Terrestres et Informatique Avanc\u00e9e (14-20 Boulevard Newton - Cit\u00e9 Descartes, Champs sur Marne - F-77447 Marne la Vall\u00e9e Cedex 2 - France)"],"affiliations":[{"raw_affiliation_string":"IFSTTAR, GRETTIA, Universit\u00e9 Paris-Est, Champs-Sur-Marne, France","institution_ids":[]},{"raw_affiliation_string":"IFSTTAR/COSYS/GRETTIA - G\u00e9nie des R\u00e9seaux de Transport Terrestres et Informatique Avanc\u00e9e (14-20 Boulevard Newton - Cit\u00e9 Descartes, Champs sur Marne - F-77447 Marne la Vall\u00e9e Cedex 2 - France)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109939695","display_name":"G\u00e9rard Govaert","orcid":null},"institutions":[{"id":"https://openalex.org/I102516824","display_name":"Universit\u00e9 de Technologie de Compi\u00e8gne","ror":"https://ror.org/04y5kwa70","country_code":"FR","type":"education","lineage":["https://openalex.org/I102516824"]},{"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/I4210088387","display_name":"Heuristics and Diagnostics for Complex Systems","ror":"https://ror.org/0075hvk77","country_code":"FR","type":"facility","lineage":["https://openalex.org/I102516824","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210088387","https://openalex.org/I4210159245"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"G\u00e9rard Govaert","raw_affiliation_strings":["UMR CNRS 7253 Heudiasyc, Universit\u00e9 de technologie de Compi\u00e8gne, Compi\u00e8gne, France","Heudiasyc - Heuristique et Diagnostic des Syst\u00e8mes Complexes [Compi\u00e8gne] (UTC, CS 60319 - 57 avenue de Landshut - 60203 Compi\u00e8gne cedex - France)"],"affiliations":[{"raw_affiliation_string":"UMR CNRS 7253 Heudiasyc, Universit\u00e9 de technologie de Compi\u00e8gne, Compi\u00e8gne, France","institution_ids":["https://openalex.org/I102516824","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"Heudiasyc - Heuristique et Diagnostic des Syst\u00e8mes Complexes [Compi\u00e8gne] (UTC, CS 60319 - 57 avenue de Landshut - 60203 Compi\u00e8gne cedex - France)","institution_ids":["https://openalex.org/I4210088387","https://openalex.org/I102516824"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052312255","display_name":"Patrice Aknin","orcid":"https://orcid.org/0000-0003-3557-0225"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Patrice Aknin","raw_affiliation_strings":["IFSTTAR, GRETTIA, Universit\u00e9 Paris-Est, Champs-Sur-Marne, France","IFSTTAR/COSYS/GRETTIA - G\u00e9nie des R\u00e9seaux de Transport Terrestres et Informatique Avanc\u00e9e (14-20 Boulevard Newton - Cit\u00e9 Descartes, Champs sur Marne - F-77447 Marne la Vall\u00e9e Cedex 2 - France)"],"affiliations":[{"raw_affiliation_string":"IFSTTAR, GRETTIA, Universit\u00e9 Paris-Est, Champs-Sur-Marne, France","institution_ids":[]},{"raw_affiliation_string":"IFSTTAR/COSYS/GRETTIA - G\u00e9nie des R\u00e9seaux de Transport Terrestres et Informatique Avanc\u00e9e (14-20 Boulevard Newton - Cit\u00e9 Descartes, Champs sur Marne - F-77447 Marne la Vall\u00e9e Cedex 2 - France)","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5082366576"],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07079525,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"9","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9975000023841858,"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":0.9975000023841858,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9718000292778015,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9713000059127808,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.818067193031311},{"id":"https://openalex.org/keywords/expectation\u2013maximization-algorithm","display_name":"Expectation\u2013maximization algorithm","score":0.6589558124542236},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6456555128097534},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.6061506271362305},{"id":"https://openalex.org/keywords/maximum-a-posteriori-estimation","display_name":"Maximum a posteriori estimation","score":0.5262136459350586},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.46452128887176514},{"id":"https://openalex.org/keywords/data-stream-clustering","display_name":"Data stream clustering","score":0.45137256383895874},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.4446321129798889},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4427463710308075},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43957585096359253},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.4329402446746826},{"id":"https://openalex.org/keywords/latent-variable","display_name":"Latent variable","score":0.42388835549354553},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.4232999384403229},{"id":"https://openalex.org/keywords/random-walk","display_name":"Random walk","score":0.42111027240753174},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.420823872089386},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3797684907913208},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3078479468822479},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2880595624446869},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.26498091220855713},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.19396507740020752}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.818067193031311},{"id":"https://openalex.org/C182081679","wikidata":"https://www.wikidata.org/wiki/Q1275153","display_name":"Expectation\u2013maximization algorithm","level":3,"score":0.6589558124542236},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6456555128097534},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.6061506271362305},{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.5262136459350586},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.46452128887176514},{"id":"https://openalex.org/C193143536","wikidata":"https://www.wikidata.org/wiki/Q5227360","display_name":"Data stream clustering","level":5,"score":0.45137256383895874},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.4446321129798889},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4427463710308075},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43957585096359253},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.4329402446746826},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.42388835549354553},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.4232999384403229},{"id":"https://openalex.org/C121194460","wikidata":"https://www.wikidata.org/wiki/Q856741","display_name":"Random walk","level":2,"score":0.42111027240753174},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.420823872089386},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3797684907913208},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3078479468822479},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2880595624446869},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.26498091220855713},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.19396507740020752},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-642-40728-4_2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-40728-4_2","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-00864065v1","is_oa":false,"landing_page_url":"https://hal.science/hal-00864065","pdf_url":null,"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"23rd International Conference on Artificial Neural Networks (ICANN 2013), Sep 2013, Sofia, Bulgaria. pp.9-16","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1486034269","https://openalex.org/W1579271636","https://openalex.org/W1981673584","https://openalex.org/W2016548223","https://openalex.org/W2023689787","https://openalex.org/W2042251154","https://openalex.org/W2049633694","https://openalex.org/W2102716594","https://openalex.org/W2117853077","https://openalex.org/W2122512809","https://openalex.org/W2147269409","https://openalex.org/W2166698530","https://openalex.org/W2488678869","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2559422900","https://openalex.org/W2181939267","https://openalex.org/W2491448268","https://openalex.org/W4306940721","https://openalex.org/W3144143113","https://openalex.org/W3174322327","https://openalex.org/W2117838073","https://openalex.org/W2892323093","https://openalex.org/W2183916789","https://openalex.org/W4301002638"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}