{"id":"https://openalex.org/W4401607430","doi":"https://doi.org/10.1109/access.2024.3444704","title":"Temporal and Multivariate Similarity Clustering of 5G Performance Data","display_name":"Temporal and Multivariate Similarity Clustering of 5G Performance Data","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4401607430","doi":"https://doi.org/10.1109/access.2024.3444704"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3444704","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3444704","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2024.3444704","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5106528717","display_name":"Jakub Mazgu\u0142a","orcid":"https://orcid.org/0000-0002-3551-8198"},"institutions":[{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Jakub Mazgu\u0142a","raw_affiliation_strings":["Faculty of Information and Communication Technology, Wroc&#x0142;aw University of Science and Technology, Wroc&#x0142;aw, Poland"],"affiliations":[{"raw_affiliation_string":"Faculty of Information and Communication Technology, Wroc&#x0142;aw University of Science and Technology, Wroc&#x0142;aw, Poland","institution_ids":["https://openalex.org/I686019"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075187387","display_name":"Dariusz Kr\u00f3l","orcid":"https://orcid.org/0000-0002-2715-6000"},"institutions":[{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Dariusz Kr\u00f3l","raw_affiliation_strings":["Faculty of Information and Communication Technology, Wroc&#x0142;aw University of Science and Technology, Wroc&#x0142;aw, Poland"],"affiliations":[{"raw_affiliation_string":"Faculty of Information and Communication Technology, Wroc&#x0142;aw University of Science and Technology, Wroc&#x0142;aw, Poland","institution_ids":["https://openalex.org/I686019"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103238427","display_name":"Ireneusz Jab\u0142o\u0144ski","orcid":"https://orcid.org/0009-0007-8590-6053"},"institutions":[{"id":"https://openalex.org/I51783024","display_name":"Brandenburg University of Technology Cottbus-Senftenberg","ror":"https://ror.org/02wxx3e24","country_code":"DE","type":"education","lineage":["https://openalex.org/I51783024"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ireneusz Jab\u0142o\u0144ski","raw_affiliation_strings":["Faculty of Physics, Brandenburg University of Technology, Cottbus, Germany"],"affiliations":[{"raw_affiliation_string":"Faculty of Physics, Brandenburg University of Technology, Cottbus, Germany","institution_ids":["https://openalex.org/I51783024"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5106528717"],"corresponding_institution_ids":["https://openalex.org/I686019"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.7207,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.681662,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"12","issue":null,"first_page":"114137","last_page":"114145"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.987500011920929,"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"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.987500011920929,"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"}},{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9868999719619751,"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/T10057","display_name":"Face and Expression Recognition","score":0.984000027179718,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.7109391689300537},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.646253764629364},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.6461342573165894},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5198264718055725},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45147010684013367},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43502986431121826},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3769749402999878},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.17307642102241516}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7109391689300537},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.646253764629364},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.6461342573165894},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5198264718055725},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45147010684013367},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43502986431121826},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3769749402999878},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.17307642102241516},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2024.3444704","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3444704","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:46f3a4ededcc489589ba990791b76e4c","is_oa":true,"landing_page_url":"https://doaj.org/article/46f3a4ededcc489589ba990791b76e4c","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 114137-114145 (2024)","raw_type":"article"},{"id":"pmh:oai:publica.fraunhofer.de:publica/510335","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/510335","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"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":"journal article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3444704","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3444704","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1673310716","https://openalex.org/W1894414046","https://openalex.org/W2012985193","https://openalex.org/W2046689939","https://openalex.org/W2082503527","https://openalex.org/W2083250197","https://openalex.org/W2105456967","https://openalex.org/W2128160875","https://openalex.org/W2132914434","https://openalex.org/W2150593711","https://openalex.org/W2327299929","https://openalex.org/W2330219538","https://openalex.org/W2402293753","https://openalex.org/W2586337417","https://openalex.org/W2593705154","https://openalex.org/W2788993173","https://openalex.org/W2789382606","https://openalex.org/W2907612615","https://openalex.org/W2918627035","https://openalex.org/W2997591727","https://openalex.org/W3006614673","https://openalex.org/W3024819240","https://openalex.org/W3039352388","https://openalex.org/W3040592963","https://openalex.org/W3045527243","https://openalex.org/W3093652512","https://openalex.org/W3107372501","https://openalex.org/W3134004344","https://openalex.org/W3139157011","https://openalex.org/W3166249418","https://openalex.org/W3184245837","https://openalex.org/W3217061342","https://openalex.org/W4221001966","https://openalex.org/W4236310305","https://openalex.org/W4255601674","https://openalex.org/W4282941897","https://openalex.org/W4307020401","https://openalex.org/W4312790531","https://openalex.org/W4313597826","https://openalex.org/W4316041909","https://openalex.org/W4321511583","https://openalex.org/W4384699739","https://openalex.org/W4385517050","https://openalex.org/W6637131181","https://openalex.org/W6779988842"],"related_works":["https://openalex.org/W2406638334","https://openalex.org/W4298130764","https://openalex.org/W2804364458","https://openalex.org/W1991765889","https://openalex.org/W1990068454","https://openalex.org/W2472172556","https://openalex.org/W2132641928","https://openalex.org/W1570805059","https://openalex.org/W4310225030","https://openalex.org/W2357266745"],"abstract_inverted_index":{"The":[0,130],"performance":[1,31,122],"of":[2,22,29,32,45,99,114,128,147],"5G":[3],"mobile":[4],"network":[5,57],"cells":[6],"is":[7,36],"highly":[8],"impacted":[9],"by":[10,119,159],"their":[11,121],"evolving":[12],"configuration":[13,117],"and":[14,48,73,88],"temporal":[15],"environmental":[16],"conditions,":[17],"such":[18,33],"as":[19],"the":[20,30,42,50,137,148,154,163],"number":[21],"connected":[23],"devices":[24],"or":[25],"resource":[26],"utilization.":[27],"Evaluation":[28],"a":[34,37,65,111,125],"system":[35],"complex":[38],"task":[39,113],"that":[40,79],"requires":[41],"simultaneous":[43],"analysis":[44],"multiple":[46,100],"indicators":[47],"inspires":[49],"research":[51],"community":[52],"to":[53],"work":[54],"on":[55,97],"zero-touch":[56],"service":[58],"management.":[59],"In":[60],"this":[61],"paper,":[62],"we":[63],"present":[64],"novel":[66],"time":[67],"series":[68],"clustering":[69,120],"method":[70,157],"-":[71,78],"Temporal":[72],"Multivariate":[74],"Similarity":[75],"Clustering":[76],"(TMSC)":[77],"incorporates":[80],"Dynamic":[81],"Time":[82],"Warping":[83,86],"with":[84,124],"Limited":[85],"Length":[87],"Spectral":[89],"Clustering,":[90],"allowing":[91],"for":[92,143,156],"radio":[93],"cell":[94,116],"grouping":[95],"based":[96],"realization":[98],"Key":[101],"Performance":[102],"Indicators.":[103],"We":[104,151],"evaluated":[105],"TMSC":[106],"against":[107],"state-of-the-art":[108],"algorithms":[109],"at":[110,162],"practical":[112],"identifying":[115],"differences":[118],"metrics":[123],"limited":[126],"set":[127],"observations.":[129],"proposed":[131],"algorithm":[132],"outperformed":[133],"other":[134],"methods":[135],"regarding":[136],"Normalized":[138],"Mutual":[139],"Information":[140],"score":[141],"achieved":[142],"more":[144],"than":[145],"95%":[146],"cases":[149],"studied.":[150],"also":[152],"display":[153],"potential":[155],"generalization":[158],"evaluating":[160],"it":[161],"hand":[164],"gesture":[165],"recognition":[166],"task,":[167],"which":[168],"yields":[169],"satisfactory":[170],"results.":[171]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}
