{"id":"https://openalex.org/W4393316434","doi":"https://doi.org/10.1007/s11634-024-00586-6","title":"Entropy-based fuzzy clustering of interval-valued time series","display_name":"Entropy-based fuzzy clustering of interval-valued time series","publication_year":2024,"publication_date":"2024-03-29","ids":{"openalex":"https://openalex.org/W4393316434","doi":"https://doi.org/10.1007/s11634-024-00586-6"},"language":"en","primary_location":{"id":"doi:10.1007/s11634-024-00586-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11634-024-00586-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11634-024-00586-6.pdf","source":{"id":"https://openalex.org/S4210175730","display_name":"Advances in Data Analysis and Classification","issn_l":"1862-5355","issn":["1862-5355","1862-5347"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11634-024-00586-6.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080671461","display_name":"Vincenzina Vitale","orcid":"https://orcid.org/0000-0001-9512-3609"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Vincenzina Vitale","raw_affiliation_strings":["Department of Social Sciences and Economics, Sapienza University of Rome, Piazzale Aldo Moro, 5, 00185, Rome, Italy"],"raw_orcid":"https://orcid.org/0000-0001-9512-3609","affiliations":[{"raw_affiliation_string":"Department of Social Sciences and Economics, Sapienza University of Rome, Piazzale Aldo Moro, 5, 00185, Rome, Italy","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088235131","display_name":"Pierpaolo D\u2019Urso","orcid":"https://orcid.org/0000-0002-7406-6411"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Pierpaolo D\u2019Urso","raw_affiliation_strings":["Department of Social Sciences and Economics, Sapienza University of Rome, Piazzale Aldo Moro, 5, 00185, Rome, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Social Sciences and Economics, Sapienza University of Rome, Piazzale Aldo Moro, 5, 00185, Rome, Italy","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002973430","display_name":"Livia De Giovanni","orcid":"https://orcid.org/0000-0001-7806-2170"},"institutions":[{"id":"https://openalex.org/I56441308","display_name":"Libera Universit\u00e0 Internazionale degli Studi Sociali Guido Carli","ror":"https://ror.org/01q8b6q23","country_code":"IT","type":"education","lineage":["https://openalex.org/I56441308"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Livia De Giovanni","raw_affiliation_strings":["Department of Political Sciences and Data Lab, Luiss University, Viale Romania, 32, 00197, Rome, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Political Sciences and Data Lab, Luiss University, Viale Romania, 32, 00197, Rome, Italy","institution_ids":["https://openalex.org/I56441308"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067367364","display_name":"Raffaele Mattera","orcid":"https://orcid.org/0000-0001-8770-7049"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Raffaele Mattera","raw_affiliation_strings":["Department of Social Sciences and Economics, Sapienza University of Rome, Piazzale Aldo Moro, 5, 00185, Rome, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Social Sciences and Economics, Sapienza University of Rome, Piazzale Aldo Moro, 5, 00185, Rome, Italy","institution_ids":["https://openalex.org/I861853513"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5080671461"],"corresponding_institution_ids":["https://openalex.org/I861853513"],"apc_list":{"value":3090,"currency":"USD","value_usd":3090},"apc_paid":{"value":3090,"currency":"USD","value_usd":3090},"fwci":0.9981,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.722334,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"20","issue":"1","first_page":"81","last_page":"107"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9991999864578247,"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":0.9991999864578247,"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/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9876999855041504,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9580000042915344,"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/series","display_name":"Series (stratigraphy)","score":0.5667448043823242},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5345408320426941},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5315254330635071},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4717077910900116},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.4361022710800171},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4250600039958954},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.42395472526550293},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.418300062417984},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.39176857471466064},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35278230905532837},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30478358268737793},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.30300265550613403},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.12755686044692993},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09400156140327454},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.06999656558036804},{"id":"https://openalex.org/keywords/thermodynamics","display_name":"Thermodynamics","score":0.04707825183868408}],"concepts":[{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5667448043823242},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5345408320426941},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5315254330635071},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4717077910900116},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.4361022710800171},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4250600039958954},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.42395472526550293},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.418300062417984},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.39176857471466064},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35278230905532837},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30478358268737793},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.30300265550613403},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.12755686044692993},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09400156140327454},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.06999656558036804},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.04707825183868408},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/s11634-024-00586-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11634-024-00586-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11634-024-00586-6.pdf","source":{"id":"https://openalex.org/S4210175730","display_name":"Advances in Data Analysis and Classification","issn_l":"1862-5355","issn":["1862-5355","1862-5347"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Data Analysis and Classification","raw_type":"journal-article"},{"id":"pmh:oai:iris.luiss.it:11385/237598","is_oa":true,"landing_page_url":"https://hdl.handle.net/11385/237598","pdf_url":null,"source":{"id":"https://openalex.org/S4377196446","display_name":"IRIS - Institutional Research Information System (Libera Universit\u00e0 Internazionale degli Studi Sociali Guido Carli)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I56441308","host_organization_name":"Libera Universit\u00e0 Internazionale degli Studi Sociali Guido Carli","host_organization_lineage":["https://openalex.org/I56441308"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:iris.uniroma1.it:11573/1708855","is_oa":false,"landing_page_url":"https://hdl.handle.net/11573/1708855","pdf_url":null,"source":{"id":"https://openalex.org/S4377196107","display_name":"IRIS Research product catalog (Sapienza University of Rome)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1007/s11634-024-00586-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11634-024-00586-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11634-024-00586-6.pdf","source":{"id":"https://openalex.org/S4210175730","display_name":"Advances in Data Analysis and Classification","issn_l":"1862-5355","issn":["1862-5355","1862-5347"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Data Analysis and Classification","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4393316434.pdf","grobid_xml":"https://content.openalex.org/works/W4393316434.grobid-xml"},"referenced_works_count":60,"referenced_works":["https://openalex.org/W1492534996","https://openalex.org/W1886358209","https://openalex.org/W1970694313","https://openalex.org/W1979700117","https://openalex.org/W1984210972","https://openalex.org/W1986092967","https://openalex.org/W2002953934","https://openalex.org/W2007961939","https://openalex.org/W2015253562","https://openalex.org/W2017688772","https://openalex.org/W2034024435","https://openalex.org/W2040579227","https://openalex.org/W2042289951","https://openalex.org/W2042714950","https://openalex.org/W2043219720","https://openalex.org/W2046162917","https://openalex.org/W2046839004","https://openalex.org/W2047136934","https://openalex.org/W2049623660","https://openalex.org/W2053297118","https://openalex.org/W2062064329","https://openalex.org/W2062696711","https://openalex.org/W2073579860","https://openalex.org/W2074972084","https://openalex.org/W2081769218","https://openalex.org/W2087855982","https://openalex.org/W2114830639","https://openalex.org/W2116327842","https://openalex.org/W2122131280","https://openalex.org/W2122924074","https://openalex.org/W2129871038","https://openalex.org/W2130063981","https://openalex.org/W2136063736","https://openalex.org/W2136753665","https://openalex.org/W2148710478","https://openalex.org/W2199502820","https://openalex.org/W2291119068","https://openalex.org/W2302056359","https://openalex.org/W2532750312","https://openalex.org/W2596274502","https://openalex.org/W2620966310","https://openalex.org/W2737567426","https://openalex.org/W2786413470","https://openalex.org/W2801297541","https://openalex.org/W2898225719","https://openalex.org/W2913840783","https://openalex.org/W2959374936","https://openalex.org/W3027056361","https://openalex.org/W3045355854","https://openalex.org/W3125189879","https://openalex.org/W3175302186","https://openalex.org/W3184527193","https://openalex.org/W3197976147","https://openalex.org/W3199817096","https://openalex.org/W4206025486","https://openalex.org/W4235500030","https://openalex.org/W4250749985","https://openalex.org/W4306768860","https://openalex.org/W4313420317","https://openalex.org/W4378650900"],"related_works":["https://openalex.org/W2945382830","https://openalex.org/W4224807364","https://openalex.org/W2596632494","https://openalex.org/W2535986621","https://openalex.org/W1980197432","https://openalex.org/W2382432689","https://openalex.org/W2000612978","https://openalex.org/W4388110928","https://openalex.org/W1483228865","https://openalex.org/W4312412183"],"abstract_inverted_index":{"Abstract":[0],"This":[1],"paper":[2],"proposes":[3],"a":[4,49,70],"fuzzy":[5],"C":[6],"-medoids-based":[7],"clustering":[8,44,65],"method":[9],"with":[10],"entropy":[11],"regularization":[12],"to":[13,38,76],"solve":[14],"the":[15,29,63],"issue":[16],"of":[17,28,62],"grouping":[18],"complex":[19],"data":[20],"as":[21],"interval-valued":[22],"time":[23,78],"series.":[24,79],"The":[25,60],"dual":[26],"nature":[27],"data,":[30],"that":[31],"are":[32],"both":[33],"time-varying":[34],"and":[35,41,73],"interval-valued,":[36],"needs":[37],"be":[39],"considered":[40],"embedded":[42],"into":[43],"techniques.":[45],"In":[46],"this":[47],"work,":[48],"new":[50,64],"dissimilarity":[51],"measure,":[52],"based":[53],"on":[54],"Dynamic":[55],"Time":[56],"Warping,":[57],"is":[58,67],"proposed.":[59],"performance":[61],"procedure":[66],"evaluated":[68],"through":[69],"simulation":[71],"study":[72],"an":[74],"application":[75],"financial":[77]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}
