{"id":"https://openalex.org/W2895027206","doi":"https://doi.org/10.1109/dsmp.2018.8478571","title":"High-Performance Data Stream Mining by Means of Embedding Hidden Markov Model into Reproducing Kernel Hibert Spaces","display_name":"High-Performance Data Stream Mining by Means of Embedding Hidden Markov Model into Reproducing Kernel Hibert Spaces","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2895027206","doi":"https://doi.org/10.1109/dsmp.2018.8478571","mag":"2895027206"},"language":"en","primary_location":{"id":"doi:10.1109/dsmp.2018.8478571","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsmp.2018.8478571","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Second International Conference on Data Stream Mining &amp; Processing (DSMP)","raw_type":"proceedings-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/A5069178665","display_name":"Galyna Kriukova","orcid":"https://orcid.org/0000-0002-5558-0976"},"institutions":[{"id":"https://openalex.org/I112412981","display_name":"National University of Kyiv Mohyla Academy","ror":"https://ror.org/03wfca816","country_code":"UA","type":"education","lineage":["https://openalex.org/I112412981"]}],"countries":["UA"],"is_corresponding":true,"raw_author_name":"Galyna Kriukova","raw_affiliation_strings":["Faculty of Computer Sciences, National University of Kyiv-Mohyla Academy, Kyiv, Ukraine"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer Sciences, National University of Kyiv-Mohyla Academy, Kyiv, Ukraine","institution_ids":["https://openalex.org/I112412981"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069329970","display_name":"Mykola Glybovets","orcid":"https://orcid.org/0000-0002-3853-2171"},"institutions":[{"id":"https://openalex.org/I112412981","display_name":"National University of Kyiv Mohyla Academy","ror":"https://ror.org/03wfca816","country_code":"UA","type":"education","lineage":["https://openalex.org/I112412981"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Mykola Glybovets","raw_affiliation_strings":["Faculty of Computer Sciences, National University of Kyiv-Mohyla Academy, Kyiv, Ukraine"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer Sciences, National University of Kyiv-Mohyla Academy, Kyiv, Ukraine","institution_ids":["https://openalex.org/I112412981"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5069178665"],"corresponding_institution_ids":["https://openalex.org/I112412981"],"apc_list":null,"apc_paid":null,"fwci":0.5071,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.74482154,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"13","issue":null,"first_page":"207","last_page":"211"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9948999881744385,"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/T10320","display_name":"Neural Networks and Applications","score":0.9948999881744385,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9948999881744385,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9918000102043152,"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/reproducing-kernel-hilbert-space","display_name":"Reproducing kernel Hilbert space","score":0.6423612833023071},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.6291357278823853},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6063732504844666},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.6035807132720947},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5992652773857117},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5090808272361755},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.495762437582016},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.47933778166770935},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.45849502086639404},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4421869218349457},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3772652745246887},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37264299392700195},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34421050548553467},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3361695110797882},{"id":"https://openalex.org/keywords/hilbert-space","display_name":"Hilbert space","score":0.20731720328330994},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.12909480929374695}],"concepts":[{"id":"https://openalex.org/C80884492","wikidata":"https://www.wikidata.org/wiki/Q3345678","display_name":"Reproducing kernel Hilbert space","level":3,"score":0.6423612833023071},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.6291357278823853},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6063732504844666},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.6035807132720947},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5992652773857117},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5090808272361755},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.495762437582016},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.47933778166770935},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.45849502086639404},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4421869218349457},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3772652745246887},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37264299392700195},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34421050548553467},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3361695110797882},{"id":"https://openalex.org/C62799726","wikidata":"https://www.wikidata.org/wiki/Q190056","display_name":"Hilbert space","level":2,"score":0.20731720328330994},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.12909480929374695},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/dsmp.2018.8478571","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsmp.2018.8478571","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Second International Conference on Data Stream Mining &amp; Processing (DSMP)","raw_type":"proceedings-article"},{"id":"pmh:oai:ena.lp.edu.ua:ntb/52492","is_oa":false,"landing_page_url":"http://ena.lp.edu.ua:8080/handle/ntb/52492","pdf_url":null,"source":{"id":"https://openalex.org/S4306400131","display_name":"Electronic Scientific Archive (Lviv Polytechnic)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98435010","host_organization_name":"Lviv Polytechnic National University","host_organization_lineage":["https://openalex.org/I98435010"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Abstract"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W133067964","https://openalex.org/W1551209770","https://openalex.org/W1869778509","https://openalex.org/W1946137962","https://openalex.org/W2015904350","https://openalex.org/W2109240172","https://openalex.org/W2123845705","https://openalex.org/W2135822894","https://openalex.org/W2135858662","https://openalex.org/W2138153286","https://openalex.org/W2145022515","https://openalex.org/W2146641075","https://openalex.org/W2165591566","https://openalex.org/W2418306335","https://openalex.org/W2625663702","https://openalex.org/W2685994029","https://openalex.org/W2760048934","https://openalex.org/W2767545616","https://openalex.org/W2768453072","https://openalex.org/W3101183984","https://openalex.org/W3208248887","https://openalex.org/W4247295697","https://openalex.org/W6632758585","https://openalex.org/W6639086533","https://openalex.org/W6680176085","https://openalex.org/W6680315907","https://openalex.org/W6744136765"],"related_works":["https://openalex.org/W4362597605","https://openalex.org/W1574414179","https://openalex.org/W4297676672","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W4281702477","https://openalex.org/W2490526372","https://openalex.org/W4376166922","https://openalex.org/W4378510483","https://openalex.org/W4221142204"],"abstract_inverted_index":{"Hidden":[0],"Markov":[1],"models":[2],"(HMMs)":[3],"are":[4,49],"a":[5,40],"well-known":[6],"probabilistic":[7],"graphical":[8],"model":[9],"for":[10,64,99],"time":[11],"series":[12],"of":[13,26,59,121],"discrete,":[14],"partially":[15],"observable":[16],"stochastic":[17],"processes.":[18],"We":[19,107],"consider":[20],"method":[21,74,123],"to":[22,28,51,54,78,124,130],"extend":[23],"the":[24,34,37,122,128],"application":[25],"HMMs":[27],"non-Gaussian":[29],"continuous":[30],"distributions":[31],"by":[32],"embedding":[33],"belief":[35],"about":[36],"state":[38],"into":[39],"reproducing":[41],"kernel":[42,67],"Hilbert":[43],"space":[44],"(RKHS).":[45],"Corresponding":[46],"regularization":[47,71,113],"techniques":[48],"proposed":[50],"reduce":[52],"tendency":[53],"overfitting":[55],"and":[56,66,69,82,90,103,111,114],"computational":[57],"complexity":[58],"algorithm,":[60],"specifically,":[61],"Nystr\u00f6m":[62],"subsampling":[63],"feature":[65],"matrices":[68],"general":[70],"family.":[72],"This":[73],"may":[75,96],"be":[76,97],"applied":[77],"various":[79],"statistical":[80],"inference":[81],"learning":[83],"problems,":[84,126],"including":[85],"classification,":[86],"clustering,":[87],"prediction,":[88],"identification,":[89],"as":[91],"an":[92],"online":[93],"algorithm":[94],"is":[95],"used":[98],"dynamic":[100],"data":[101,104],"mining":[102],"stream":[105],"mining.":[106],"investigate,":[108],"both":[109],"theoretically":[110],"empirically,":[112],"approximation":[115],"bounds.":[116],"Furthermore,":[117],"we":[118],"discuss":[119],"applications":[120],"real-world":[125],"comparing":[127],"approach":[129],"several":[131],"state-of-the-art":[132],"algorithms.":[133]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
