{"id":"https://openalex.org/W4367368273","doi":"https://doi.org/10.1007/s11634-023-00540-y","title":"Finite mixture of hidden Markov models for tensor-variate time series data","display_name":"Finite mixture of hidden Markov models for tensor-variate time series data","publication_year":2023,"publication_date":"2023-04-29","ids":{"openalex":"https://openalex.org/W4367368273","doi":"https://doi.org/10.1007/s11634-023-00540-y"},"language":"en","primary_location":{"id":"doi:10.1007/s11634-023-00540-y","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1007/s11634-023-00540-y","pdf_url":null,"source":{"id":"https://openalex.org/S4210175730","display_name":"Advances in Data Analysis and Classification","issn_l":"1862-5347","issn":["1862-5347","1862-5355"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Data Analysis and Classification","raw_type":"journal-article"},"type":"article","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/A5045814243","display_name":"Abdullah Asilkalkan","orcid":"https://orcid.org/0000-0003-3839-2073"},"institutions":[{"id":"https://openalex.org/I17301866","display_name":"University of Alabama","ror":"https://ror.org/03xrrjk67","country_code":"US","type":"education","lineage":["https://openalex.org/I17301866"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Abdullah Asilkalkan","raw_affiliation_strings":["Department of Information Systems, Statistics, and Management Science, The University of Alabama, Tuscaloosa, 35487, AL, USA"],"raw_orcid":"https://orcid.org/0000-0003-3839-2073","affiliations":[{"raw_affiliation_string":"Department of Information Systems, Statistics, and Management Science, The University of Alabama, Tuscaloosa, 35487, AL, USA","institution_ids":["https://openalex.org/I17301866"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003813270","display_name":"Xuwen Zhu","orcid":"https://orcid.org/0000-0002-7644-2695"},"institutions":[{"id":"https://openalex.org/I17301866","display_name":"University of Alabama","ror":"https://ror.org/03xrrjk67","country_code":"US","type":"education","lineage":["https://openalex.org/I17301866"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xuwen Zhu","raw_affiliation_strings":["Department of Information Systems, Statistics, and Management Science, The University of Alabama, Tuscaloosa, 35487, AL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Systems, Statistics, and Management Science, The University of Alabama, Tuscaloosa, 35487, AL, USA","institution_ids":["https://openalex.org/I17301866"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006395960","display_name":"Shuchismita Sarkar","orcid":"https://orcid.org/0000-0001-5748-1149"},"institutions":[{"id":"https://openalex.org/I157417397","display_name":"Bowling Green State University","ror":"https://ror.org/00ay7va13","country_code":"US","type":"education","lineage":["https://openalex.org/I157417397"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shuchismita Sarkar","raw_affiliation_strings":["Department of Applied Statistics & Operations Research, Bowling Green State University, Bowling Green, 43403, OH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Applied Statistics & Operations Research, Bowling Green State University, Bowling Green, 43403, OH, USA","institution_ids":["https://openalex.org/I157417397"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5045814243"],"corresponding_institution_ids":["https://openalex.org/I17301866"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":0.1704,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.53029283,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"18","issue":"3","first_page":"545","last_page":"562"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9973999857902527,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9973999857902527,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9970999956130981,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/random-variate","display_name":"Random variate","score":0.7542214393615723},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.607831597328186},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.5731945633888245},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5699692964553833},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5402071475982666},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.4838763475418091},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.4557904005050659},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.45079663395881653},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4440709948539734},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4438932538032532},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40748974680900574},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3632998466491699},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3566601872444153},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.308463990688324},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.273351788520813},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18310922384262085},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.10085886716842651},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.06601381301879883}],"concepts":[{"id":"https://openalex.org/C141547133","wikidata":"https://www.wikidata.org/wiki/Q7291996","display_name":"Random variate","level":3,"score":0.7542214393615723},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.607831597328186},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.5731945633888245},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5699692964553833},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5402071475982666},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.4838763475418091},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.4557904005050659},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.45079663395881653},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4440709948539734},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4438932538032532},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40748974680900574},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3632998466491699},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3566601872444153},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.308463990688324},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.273351788520813},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18310922384262085},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.10085886716842651},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.06601381301879883},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s11634-023-00540-y","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1007/s11634-023-00540-y","pdf_url":null,"source":{"id":"https://openalex.org/S4210175730","display_name":"Advances in Data Analysis and Classification","issn_l":"1862-5347","issn":["1862-5347","1862-5355"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Data Analysis and Classification","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:spr:advdac:v:18:y:2024:i:3:d:10.1007_s11634-023-00540-y","is_oa":false,"landing_page_url":"http://link.springer.com/10.1007/s11634-023-00540-y","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5,"id":"https://metadata.un.org/sdg/12","display_name":"Responsible consumption and production"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1621263464","https://openalex.org/W1829970718","https://openalex.org/W1952223965","https://openalex.org/W1966129222","https://openalex.org/W2030434042","https://openalex.org/W2049633694","https://openalex.org/W2086248701","https://openalex.org/W2086568243","https://openalex.org/W2105787212","https://openalex.org/W2107107330","https://openalex.org/W2124596506","https://openalex.org/W2125838338","https://openalex.org/W2128898088","https://openalex.org/W2150084291","https://openalex.org/W2168175751","https://openalex.org/W2488678869","https://openalex.org/W2739929871","https://openalex.org/W2792703144","https://openalex.org/W2800188602","https://openalex.org/W2950411888","https://openalex.org/W2966562674","https://openalex.org/W3098618009","https://openalex.org/W3101437848","https://openalex.org/W3121581836","https://openalex.org/W3148198191","https://openalex.org/W3177909663","https://openalex.org/W3181715383","https://openalex.org/W3183211467","https://openalex.org/W4225291099","https://openalex.org/W4231665431","https://openalex.org/W4235169531","https://openalex.org/W4312258136"],"related_works":["https://openalex.org/W4313547211","https://openalex.org/W2350115929","https://openalex.org/W2118728396","https://openalex.org/W2039473210","https://openalex.org/W2119088021","https://openalex.org/W3129972734","https://openalex.org/W4313547478","https://openalex.org/W2157200163","https://openalex.org/W2131524408","https://openalex.org/W2569579427"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-01-21T23:30:37.877113","created_date":"2025-10-10T00:00:00"}
