{"id":"https://openalex.org/W2556719751","doi":"https://doi.org/10.3233/aic-160717","title":"Use of symbolic dynamic time warping in hierarchical clustering of urban fabric evolutions extracted from spatiotemporal topographic databases","display_name":"Use of symbolic dynamic time warping in hierarchical clustering of urban fabric evolutions extracted from spatiotemporal topographic databases","publication_year":2016,"publication_date":"2016-11-11","ids":{"openalex":"https://openalex.org/W2556719751","doi":"https://doi.org/10.3233/aic-160717","mag":"2556719751"},"language":"en","primary_location":{"id":"doi:10.3233/aic-160717","is_oa":false,"landing_page_url":"https://doi.org/10.3233/aic-160717","pdf_url":null,"source":{"id":"https://openalex.org/S176303223","display_name":"AI Communications","issn_l":"0921-7126","issn":["0921-7126","1875-8452"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"AI Communications","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/A5031872978","display_name":"Pierre Gan\u00e7arski","orcid":"https://orcid.org/0000-0003-1230-6560"},"institutions":[{"id":"https://openalex.org/I68947357","display_name":"Universit\u00e9 de Strasbourg","ror":"https://ror.org/00pg6eq24","country_code":"FR","type":"education","lineage":["https://openalex.org/I68947357"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Pierre Gan\u00e7arski","raw_affiliation_strings":["University of Strasbourg, France. E-mails:\u00a0pierre.gancarski@unistra.fr,\u00a0anne.puissant@unistra.fr"],"affiliations":[{"raw_affiliation_string":"University of Strasbourg, France. E-mails:\u00a0pierre.gancarski@unistra.fr,\u00a0anne.puissant@unistra.fr","institution_ids":["https://openalex.org/I68947357"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009754678","display_name":"Anne Puissant","orcid":"https://orcid.org/0000-0002-3240-9244"},"institutions":[{"id":"https://openalex.org/I68947357","display_name":"Universit\u00e9 de Strasbourg","ror":"https://ror.org/00pg6eq24","country_code":"FR","type":"education","lineage":["https://openalex.org/I68947357"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Anne Puissant","raw_affiliation_strings":["University of Strasbourg, France. E-mails:\u00a0pierre.gancarski@unistra.fr,\u00a0anne.puissant@unistra.fr"],"affiliations":[{"raw_affiliation_string":"University of Strasbourg, France. E-mails:\u00a0pierre.gancarski@unistra.fr,\u00a0anne.puissant@unistra.fr","institution_ids":["https://openalex.org/I68947357"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005781957","display_name":"Fran\u00e7ois Petitjean","orcid":"https://orcid.org/0000-0001-5334-3574"},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Fran\u00e7ois Petitjean","raw_affiliation_strings":["Monash University, Melbourne, Australia. E-mail:\u00a0francois.petitjean@monash.edu"],"affiliations":[{"raw_affiliation_string":"Monash University, Melbourne, Australia. E-mail:\u00a0francois.petitjean@monash.edu","institution_ids":["https://openalex.org/I56590836"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5031872978"],"corresponding_institution_ids":["https://openalex.org/I68947357"],"apc_list":null,"apc_paid":null,"fwci":0.5044,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.6590449,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"29","issue":"6","first_page":"733","last_page":"746"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9944000244140625,"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":0.9944000244140625,"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/T11106","display_name":"Data Management and Algorithms","score":0.9496999979019165,"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/T10226","display_name":"Land Use and Ecosystem Services","score":0.9351000189781189,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/dynamic-time-warping","display_name":"Dynamic time warping","score":0.891011655330658},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7771099805831909},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.7495336532592773},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6414291858673096},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"Hierarchical clustering","score":0.6108856201171875},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5589150786399841},{"id":"https://openalex.org/keywords/originality","display_name":"Originality","score":0.4709787368774414},{"id":"https://openalex.org/keywords/principal","display_name":"Principal (computer security)","score":0.43074753880500793},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.41568413376808167},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4135032892227173},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38784679770469666},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3871489465236664},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08247372508049011},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07456135749816895}],"concepts":[{"id":"https://openalex.org/C88516994","wikidata":"https://www.wikidata.org/wiki/Q1268863","display_name":"Dynamic time warping","level":2,"score":0.891011655330658},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7771099805831909},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.7495336532592773},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6414291858673096},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.6108856201171875},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5589150786399841},{"id":"https://openalex.org/C2776950860","wikidata":"https://www.wikidata.org/wiki/Q2914681","display_name":"Originality","level":3,"score":0.4709787368774414},{"id":"https://openalex.org/C144559511","wikidata":"https://www.wikidata.org/wiki/Q2986279","display_name":"Principal (computer security)","level":2,"score":0.43074753880500793},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.41568413376808167},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4135032892227173},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38784679770469666},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3871489465236664},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08247372508049011},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07456135749816895},{"id":"https://openalex.org/C11012388","wikidata":"https://www.wikidata.org/wiki/Q170658","display_name":"Creativity","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3233/aic-160717","is_oa":false,"landing_page_url":"https://doi.org/10.3233/aic-160717","pdf_url":null,"source":{"id":"https://openalex.org/S176303223","display_name":"AI Communications","issn_l":"0921-7126","issn":["0921-7126","1875-8452"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"AI Communications","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-04430561v1","is_oa":false,"landing_page_url":"https://hal.science/hal-04430561","pdf_url":null,"source":{"id":"https://openalex.org/S4406922466","display_name":"SPIRE - Sciences Po Institutional REpository","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":"AI Communications, 2016, 29 (6), ⟨10.3233/AIC-160717⟩","raw_type":"Journal articles"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.8500000238418579}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W33437861","https://openalex.org/W54230203","https://openalex.org/W1647671624","https://openalex.org/W1829233787","https://openalex.org/W1967816218","https://openalex.org/W1972477301","https://openalex.org/W1987344671","https://openalex.org/W1994820781","https://openalex.org/W2003080514","https://openalex.org/W2011430131","https://openalex.org/W2027602660","https://openalex.org/W2047910661","https://openalex.org/W2067502968","https://openalex.org/W2068039256","https://openalex.org/W2075639210","https://openalex.org/W2080761477","https://openalex.org/W2084616221","https://openalex.org/W2098759488","https://openalex.org/W2099302229","https://openalex.org/W2121674418","https://openalex.org/W2128160875","https://openalex.org/W2132585078","https://openalex.org/W2156301828","https://openalex.org/W2174519730","https://openalex.org/W2344186514","https://openalex.org/W6636915900"],"related_works":["https://openalex.org/W2593155302","https://openalex.org/W2041415459","https://openalex.org/W2072812638","https://openalex.org/W3126095231","https://openalex.org/W2352855287","https://openalex.org/W2378906650","https://openalex.org/W2384288445","https://openalex.org/W2382526412","https://openalex.org/W4200071106","https://openalex.org/W3216669355"],"abstract_inverted_index":{"This":[0],"article":[1],"introduces":[2],"a":[3,77,100],"new":[4],"methodology":[5],"dedicated":[6],"to":[7,48,59,64,75,89,99],"classify":[8],"the":[9,26,61,109,113,128],"evolutions":[10],"of":[11,50,56,71,102,116,130],"urban":[12,21,51,117,140],"blocks":[13],"extracted":[14],"from":[15],"spatio-temporal":[16],"topographic":[17],"databases":[18],"where":[19],"an":[20,41],"block":[22,52,62],"is":[23,30,46,74,87],"defined":[24],"as":[25],"smallest":[27],"area":[28],"that":[29],"surrounded":[31],"by":[32],"communication":[33],"network":[34],"(roads,":[35],"railways,":[36],"\u2026).":[37],"To":[38],"achieve":[39],"that,":[40],"ascendant":[42],"hi":[43],"erarchical":[44],"clustering":[45],"applied":[47],"sequences":[49,55],"states":[53],"(i.e.,":[54],"class":[57],"labels":[58],"which":[60,86,105],"belongs":[63],"at":[65],"each":[66],"date).":[67],"The":[68],"principal":[69],"originality":[70],"this":[72],"approach":[73],"use":[76],"distance":[78],"measure":[79],"based":[80],"on":[81,125],"DTW":[82],"(Dynamic":[83],"Time":[84],"Warping)":[85],"able":[88],"apprehend":[90],"temporal":[91],"behaviors":[92],"(mainly":[93],"time":[94],"lags":[95],"in":[96,127],"dates":[97],"corresponding":[98],"change":[101],"state)":[103],"and":[104,137],"takes":[106],"into":[107],"account":[108],"semantic":[110],"proximity":[111],"between":[112],"different":[114],"kinds":[115],"blocks.":[118],"Several":[119],"experiments":[120],"have":[121],"been":[122],"carried":[123],"out":[124],"areas":[126],"city":[129],"Strasbourg":[131],"(France).":[132],"First":[133],"results":[134],"are":[135],"relevant":[136],"highlight":[138],"realistic":[139],"dynamics.":[141]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}