{"id":"https://openalex.org/W1984713180","doi":"https://doi.org/10.1007/s10618-014-0345-2","title":"Using the minimum description length to discover the intrinsic cardinality and dimensionality of time series","display_name":"Using the minimum description length to discover the intrinsic cardinality and dimensionality of time series","publication_year":2014,"publication_date":"2014-02-15","ids":{"openalex":"https://openalex.org/W1984713180","doi":"https://doi.org/10.1007/s10618-014-0345-2","mag":"1984713180"},"language":"en","primary_location":{"id":"doi:10.1007/s10618-014-0345-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10618-014-0345-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10618-014-0345-2.pdf","source":{"id":"https://openalex.org/S121920818","display_name":"Data Mining and Knowledge Discovery","issn_l":"1384-5810","issn":["1384-5810","1573-756X"],"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":"Data Mining and Knowledge Discovery","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/s10618-014-0345-2.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010428044","display_name":"Bing Hu","orcid":"https://orcid.org/0000-0001-8411-9428"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Bing Hu","raw_affiliation_strings":["Department of Computer Science & Engineering, University of California, Riverside, Riverside, CA\u00a0, 92521, USA","Department of Computer Science & Engineering, University of California, Riverside, Riverside, USA 92521#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, University of California, Riverside, Riverside, CA\u00a0, 92521, USA","institution_ids":["https://openalex.org/I103635307"]},{"raw_affiliation_string":"Department of Computer Science & Engineering, University of California, Riverside, Riverside, USA 92521#TAB#","institution_ids":["https://openalex.org/I103635307"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044070973","display_name":"Thanawin Rakthanmanon","orcid":"https://orcid.org/0000-0001-6598-2971"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thanawin Rakthanmanon","raw_affiliation_strings":["Department of Computer Science & Engineering, University of California, Riverside, Riverside, CA\u00a0, 92521, USA","Department of Computer Science & Engineering, University of California, Riverside, Riverside, USA 92521#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, University of California, Riverside, Riverside, CA\u00a0, 92521, USA","institution_ids":["https://openalex.org/I103635307"]},{"raw_affiliation_string":"Department of Computer Science & Engineering, University of California, Riverside, Riverside, USA 92521#TAB#","institution_ids":["https://openalex.org/I103635307"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101399701","display_name":"Yuan Hao","orcid":"https://orcid.org/0000-0002-9042-0257"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuan Hao","raw_affiliation_strings":["Department of Computer Science & Engineering, University of California, Riverside, Riverside, CA\u00a0, 92521, USA","Department of Computer Science & Engineering, University of California, Riverside, Riverside, USA 92521#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, University of California, Riverside, Riverside, CA\u00a0, 92521, USA","institution_ids":["https://openalex.org/I103635307"]},{"raw_affiliation_string":"Department of Computer Science & Engineering, University of California, Riverside, Riverside, USA 92521#TAB#","institution_ids":["https://openalex.org/I103635307"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057865762","display_name":"Scott Evans","orcid":"https://orcid.org/0009-0004-7551-3641"},"institutions":[{"id":"https://openalex.org/I1332737386","display_name":"General Electric (United States)","ror":"https://ror.org/013msgt25","country_code":"US","type":"company","lineage":["https://openalex.org/I1332737386"]},{"id":"https://openalex.org/I4210134512","display_name":"GE Global Research (United States)","ror":"https://ror.org/03e06qt98","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134512"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Scott Evans","raw_affiliation_strings":["GE Global Research, Niskayuna, NY, USA","[GE Global Research, Niskayuna, USA]"],"affiliations":[{"raw_affiliation_string":"GE Global Research, Niskayuna, NY, USA","institution_ids":["https://openalex.org/I4210134512"]},{"raw_affiliation_string":"[GE Global Research, Niskayuna, USA]","institution_ids":["https://openalex.org/I1332737386"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042005042","display_name":"Stefano Lonardi","orcid":"https://orcid.org/0000-0002-2696-7274"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stefano Lonardi","raw_affiliation_strings":["Department of Computer Science & Engineering, University of California, Riverside, Riverside, CA\u00a0, 92521, USA","Department of Computer Science & Engineering, University of California, Riverside, Riverside, USA 92521#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, University of California, Riverside, Riverside, CA\u00a0, 92521, USA","institution_ids":["https://openalex.org/I103635307"]},{"raw_affiliation_string":"Department of Computer Science & Engineering, University of California, Riverside, Riverside, USA 92521#TAB#","institution_ids":["https://openalex.org/I103635307"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078245746","display_name":"Eamonn Keogh","orcid":"https://orcid.org/0000-0002-4188-3968"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eamonn Keogh","raw_affiliation_strings":["Department of Computer Science & Engineering, University of California, Riverside, Riverside, CA\u00a0, 92521, USA","Department of Computer Science & Engineering, University of California, Riverside, Riverside, USA 92521#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, University of California, Riverside, Riverside, CA\u00a0, 92521, USA","institution_ids":["https://openalex.org/I103635307"]},{"raw_affiliation_string":"Department of Computer Science & Engineering, University of California, Riverside, Riverside, USA 92521#TAB#","institution_ids":["https://openalex.org/I103635307"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5010428044"],"corresponding_institution_ids":["https://openalex.org/I103635307"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":0.8852,"has_fulltext":true,"cited_by_count":19,"citation_normalized_percentile":{"value":0.73125965,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"29","issue":"2","first_page":"358","last_page":"399"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9998999834060669,"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":0.9998999834060669,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9925000071525574,"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/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9789000153541565,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7001038789749146},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5648011565208435},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.5459007024765015},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.5444676876068115},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5234853029251099},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.504351019859314},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.48680564761161804},{"id":"https://openalex.org/keywords/minimum-description-length","display_name":"Minimum description length","score":0.48390182852745056},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.460530549287796},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4419178366661072},{"id":"https://openalex.org/keywords/cardinality","display_name":"Cardinality (data modeling)","score":0.4277650713920593},{"id":"https://openalex.org/keywords/external-data-representation","display_name":"External Data Representation","score":0.4136439263820648},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.39775359630584717},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3751755952835083},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3403862714767456}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7001038789749146},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5648011565208435},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.5459007024765015},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5444676876068115},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5234853029251099},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.504351019859314},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48680564761161804},{"id":"https://openalex.org/C87465248","wikidata":"https://www.wikidata.org/wiki/Q1417790","display_name":"Minimum description length","level":2,"score":0.48390182852745056},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.460530549287796},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4419178366661072},{"id":"https://openalex.org/C87117476","wikidata":"https://www.wikidata.org/wiki/Q362383","display_name":"Cardinality (data modeling)","level":2,"score":0.4277650713920593},{"id":"https://openalex.org/C116409475","wikidata":"https://www.wikidata.org/wiki/Q1385056","display_name":"External Data Representation","level":2,"score":0.4136439263820648},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.39775359630584717},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3751755952835083},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3403862714767456},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s10618-014-0345-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10618-014-0345-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10618-014-0345-2.pdf","source":{"id":"https://openalex.org/S121920818","display_name":"Data Mining and Knowledge Discovery","issn_l":"1384-5810","issn":["1384-5810","1573-756X"],"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":"Data Mining and Knowledge Discovery","raw_type":"journal-article"},{"id":"pmh:oai:escholarship.org:ark:/13030/qt7qs1g2z9","is_oa":false,"landing_page_url":"https://escholarship.org/uc/item/7qs1g2z9","pdf_url":null,"source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Data Mining and Knowledge Discovery, vol 29, iss 2","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s10618-014-0345-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10618-014-0345-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10618-014-0345-2.pdf","source":{"id":"https://openalex.org/S121920818","display_name":"Data Mining and Knowledge Discovery","issn_l":"1384-5810","issn":["1384-5810","1573-756X"],"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":"Data Mining and Knowledge Discovery","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.6100000143051147}],"awards":[{"id":"https://openalex.org/G2809880406","display_name":"III: Medium: Hardware/Software Accelerated Data Mining for Real-Time Monitoring of Streaming Pediatric ICU Data","funder_award_id":"1161997","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G411767299","display_name":null,"funder_award_id":"IIS-1161997","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332467","display_name":"U.S. Air Force","ror":"https://ror.org/006gmme17"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1984713180.pdf","grobid_xml":"https://content.openalex.org/works/W1984713180.grobid-xml"},"referenced_works_count":58,"referenced_works":["https://openalex.org/W46879451","https://openalex.org/W52838267","https://openalex.org/W78747592","https://openalex.org/W99176154","https://openalex.org/W109020964","https://openalex.org/W591732527","https://openalex.org/W1491931038","https://openalex.org/W1519648961","https://openalex.org/W1533169541","https://openalex.org/W1541490439","https://openalex.org/W1558426143","https://openalex.org/W1573613494","https://openalex.org/W1595324333","https://openalex.org/W1597447307","https://openalex.org/W1607036730","https://openalex.org/W1638203394","https://openalex.org/W1801768344","https://openalex.org/W1853995153","https://openalex.org/W1994754482","https://openalex.org/W2011659384","https://openalex.org/W2024081861","https://openalex.org/W2028271023","https://openalex.org/W2034370406","https://openalex.org/W2044874154","https://openalex.org/W2049797130","https://openalex.org/W2055433197","https://openalex.org/W2085039702","https://openalex.org/W2087190128","https://openalex.org/W2096075526","https://openalex.org/W2098515641","https://openalex.org/W2098759488","https://openalex.org/W2099312312","https://openalex.org/W2104410989","https://openalex.org/W2106114122","https://openalex.org/W2107633943","https://openalex.org/W2110381504","https://openalex.org/W2110787940","https://openalex.org/W2122328109","https://openalex.org/W2122646361","https://openalex.org/W2123257880","https://openalex.org/W2138790649","https://openalex.org/W2143975431","https://openalex.org/W2149956719","https://openalex.org/W2154261378","https://openalex.org/W2158940042","https://openalex.org/W2160484851","https://openalex.org/W2161621125","https://openalex.org/W2161831889","https://openalex.org/W2164274563","https://openalex.org/W2168578493","https://openalex.org/W2621280964","https://openalex.org/W2621325907","https://openalex.org/W2946736771","https://openalex.org/W2952321802","https://openalex.org/W3125923948","https://openalex.org/W3131749772","https://openalex.org/W4230960895","https://openalex.org/W4253654031"],"related_works":["https://openalex.org/W4298831272","https://openalex.org/W2489956408","https://openalex.org/W349256592","https://openalex.org/W2086694237","https://openalex.org/W4213307346","https://openalex.org/W2037989911","https://openalex.org/W2002177687","https://openalex.org/W2187269125","https://openalex.org/W3097774776","https://openalex.org/W4300665792"],"abstract_inverted_index":{"Many":[0],"algorithms":[1,112],"for":[2,39,91,113],"data":[3,9,52,96],"mining":[4],"or":[5],"indexing":[6],"time":[7,50,74],"series":[8,51],"do":[10],"not":[11],"operate":[12],"directly":[13],"on":[14],"the":[15,33,45,59,63,88,122,129,153],"raw":[16],"data,":[17],"but":[18],"instead":[19],"they":[20],"use":[21],"alternative":[22],"representations":[23],"that":[24,138],"include":[25],"transforms,":[26],"quantization,":[27],"approximation,":[28],"and":[29,36,69,107,116,145,151],"multi-resolution":[30],"abstractions.":[31],"Choosing":[32],"best":[34,89],"representation":[35,66],"abstraction":[37],"level":[38],"a":[40,73,99],"given":[41],"task/dataset":[42],"is":[43,101,141],"arguably":[44],"most":[46],"critical":[47],"step":[48],"in":[49,97,103,111,128],"mining.":[53],"In":[54],"this":[55],"work,":[56],"we":[57],"investigate":[58],"problem":[60],"of":[61,72,124,156],"discovering":[62],"natural":[64],"intrinsic":[65,82,126],"model,":[67],"dimensionality":[68],"alphabet":[70],"cardinality":[71],"series.":[75],"The":[76],"ability":[77],"to":[78],"automatically":[79],"discover":[80],"these":[81,125],"features":[83,127],"has":[84,152],"implications":[85],"beyond":[86],"selecting":[87],"parameters":[90],"particular":[92],"algorithms,":[93],"as":[94],"characterizing":[95],"such":[98],"manner":[100],"useful":[102],"its":[104],"own":[105],"right":[106],"an":[108],"important":[109,154],"sub-routine":[110],"classification,":[114],"clustering":[115],"outlier":[117],"discovery.":[118],"We":[119],"will":[120],"frame":[121],"discovery":[123],"Minimal":[130],"Description":[131],"Length":[132],"framework.":[133],"Extensive":[134],"empirical":[135],"tests":[136],"show":[137],"our":[139],"method":[140],"simpler,":[142],"more":[143,146],"general":[144],"accurate":[147],"than":[148],"previous":[149],"methods,":[150],"advantage":[155],"being":[157],"essentially":[158],"parameter-free.":[159]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}
