{"id":"https://openalex.org/W4379878555","doi":"https://doi.org/10.1007/s10707-023-00495-4","title":"Rotation invariant GPS trajectory mining","display_name":"Rotation invariant GPS trajectory mining","publication_year":2023,"publication_date":"2023-06-08","ids":{"openalex":"https://openalex.org/W4379878555","doi":"https://doi.org/10.1007/s10707-023-00495-4"},"language":"en","primary_location":{"id":"doi:10.1007/s10707-023-00495-4","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1007/s10707-023-00495-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10707-023-00495-4.pdf","source":{"id":"https://openalex.org/S4210168194","display_name":"GeoInformatica","issn_l":"1384-6175","issn":["1384-6175","1573-7624"],"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":"GeoInformatica","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/s10707-023-00495-4.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019064302","display_name":"Maximilian Leodolter","orcid":"https://orcid.org/0000-0003-4531-7012"},"institutions":[{"id":"https://openalex.org/I132118926","display_name":"Austrian Institute of Technology","ror":"https://ror.org/04knbh022","country_code":"AT","type":"facility","lineage":["https://openalex.org/I132118926"]}],"countries":["AT"],"is_corresponding":true,"raw_author_name":"Maximilian Leodolter","raw_affiliation_strings":["Austrian Institute of Technology, Vienna, Austria"],"affiliations":[{"raw_affiliation_string":"Austrian Institute of Technology, Vienna, Austria","institution_ids":["https://openalex.org/I132118926"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009516958","display_name":"Claudia Plant","orcid":"https://orcid.org/0000-0001-5274-8123"},"institutions":[{"id":"https://openalex.org/I129774422","display_name":"University of Vienna","ror":"https://ror.org/03prydq77","country_code":"AT","type":"education","lineage":["https://openalex.org/I129774422"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Claudia Plant","raw_affiliation_strings":["Faculty of Computer Science, University of Vienna, Vienna, Austria","ds:Univie, University of Vienna, Vienna, Austria"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science, University of Vienna, Vienna, Austria","institution_ids":["https://openalex.org/I129774422"]},{"raw_affiliation_string":"ds:Univie, University of Vienna, Vienna, Austria","institution_ids":["https://openalex.org/I129774422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003676186","display_name":"Norbert Br\u00e4ndle","orcid":"https://orcid.org/0000-0002-2976-3138"},"institutions":[{"id":"https://openalex.org/I132118926","display_name":"Austrian Institute of Technology","ror":"https://ror.org/04knbh022","country_code":"AT","type":"facility","lineage":["https://openalex.org/I132118926"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Norbert Br\u00e4ndle","raw_affiliation_strings":["Austrian Institute of Technology, Vienna, Austria"],"affiliations":[{"raw_affiliation_string":"Austrian Institute of Technology, Vienna, Austria","institution_ids":["https://openalex.org/I132118926"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5019064302"],"corresponding_institution_ids":["https://openalex.org/I132118926"],"apc_list":{"value":2590,"currency":"EUR","value_usd":3190},"apc_paid":{"value":2590,"currency":"EUR","value_usd":3190},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0541471,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"28","issue":"1","first_page":"89","last_page":"115"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9969000220298767,"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":0.9538999795913696,"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/global-positioning-system","display_name":"Global Positioning System","score":0.7040003538131714},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.6277134418487549},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5039684176445007},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.49572861194610596},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.47361111640930176},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46294936537742615},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.46186524629592896},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.4547835886478424},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37854549288749695},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3731135129928589},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.13112744688987732}],"concepts":[{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.7040003538131714},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6277134418487549},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5039684176445007},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.49572861194610596},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.47361111640930176},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46294936537742615},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.46186524629592896},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.4547835886478424},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37854549288749695},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3731135129928589},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.13112744688987732},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10707-023-00495-4","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1007/s10707-023-00495-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10707-023-00495-4.pdf","source":{"id":"https://openalex.org/S4210168194","display_name":"GeoInformatica","issn_l":"1384-6175","issn":["1384-6175","1573-7624"],"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":"GeoInformatica","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s10707-023-00495-4","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1007/s10707-023-00495-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10707-023-00495-4.pdf","source":{"id":"https://openalex.org/S4210168194","display_name":"GeoInformatica","issn_l":"1384-6175","issn":["1384-6175","1573-7624"],"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":"GeoInformatica","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8399999737739563,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4379878555.pdf"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W1993046026","https://openalex.org/W2021283827","https://openalex.org/W2091921805","https://openalex.org/W2099302229","https://openalex.org/W2108556791","https://openalex.org/W2126194848","https://openalex.org/W2128160875","https://openalex.org/W2136567909","https://openalex.org/W2151573792","https://openalex.org/W2171030261","https://openalex.org/W2175288397","https://openalex.org/W2237307454","https://openalex.org/W2250447163","https://openalex.org/W2549072218","https://openalex.org/W2794140462","https://openalex.org/W2796332901","https://openalex.org/W2909968474","https://openalex.org/W2976955613","https://openalex.org/W3104988155","https://openalex.org/W3202831615","https://openalex.org/W4241492945"],"related_works":["https://openalex.org/W2788408146","https://openalex.org/W2250940075","https://openalex.org/W2378933573","https://openalex.org/W2121104219","https://openalex.org/W2603493555","https://openalex.org/W2955605379","https://openalex.org/W2113699712","https://openalex.org/W3001431193","https://openalex.org/W2059527838","https://openalex.org/W2593765322"],"abstract_inverted_index":{"Abstract":[0],"Mining":[1],"of":[2,5,30,50,57,93,95,153,193],"GPS":[3,141,165,182],"trajectories":[4,31,96,129,166],"moving":[6],"vehicles":[7],"and":[8,18,37,130,144,170,198,202],"devices":[9],"can":[10],"provide":[11],"valuable":[12],"insights":[13],"into":[14],"urban":[15,169],"systems,":[16],"planning":[17],"operational":[19],"applications.":[20],"Understanding":[21],"object":[22],"motion":[23,128],"often":[24],"requires":[25],"that":[26,187],"the":[27,74,79,85,116,151,191,194],"spatial-temporal":[28],"matching":[29],"be":[32],"invariant":[33,68],"to":[34,45,53,139,145],"shifting,":[35],"scaling":[36],"rotation.":[38],"To":[39],"this":[40],"end,":[41],"Procrustes":[42,69,157],"analysis":[43,158],"enables":[44],"transform":[46],"one":[47],"data":[48,58,143],"set":[49,56],"a":[51,65,132],"trajectory":[52,98,142],"represent":[54],"another":[55],"as":[59,61,177,179],"closely":[60],"possible.":[62],"We":[63,100,149,184],"propose":[64],"novel":[66,103,133],"shift-scale-rotation":[67],"distance":[70,113],"metric":[71],"based":[72,109],"on":[73,110,163,180,200],"Kabsch":[75],"algorithm,":[76],"which":[77,107],"calculates":[78],"optimal":[80],"rotation":[81],"matrix":[82],"by":[83,160],"minimizing":[84],"root-mean":[86],"squared":[87],"deviation":[88],"between":[89],"two":[90,102],"paired":[91],"sets":[92],"points":[94],"or":[97],"segments.":[99],"present":[101],"runtime":[104,199],"efficient":[105],"algorithms":[106,159],"are":[108],"our":[111,154,188],"proposed":[112,155],"metric:":[114],"1)":[115],"sliding-shifting-scaling-Kabsch-rotation":[117],"(S3KR)":[118],"algorithm":[119,138],"for":[120],"detecting":[121],"recurring":[122],"short":[123],"query":[124],"patterns":[125],"in":[126,168,196],"longer":[127],"2)":[131],"time":[134],"series":[135],"subsequence":[136],"clustering":[137],"group":[140],"discover":[146],"prototypical":[147],"patterns.":[148],"demonstrate":[150,186],"potential":[152],"sliding":[156],"applying":[161],"it":[162],"real-world":[164],"collected":[167],"rural":[171],"areas":[172],"from":[173],"different":[174],"transport":[175],"modes,":[176],"well":[178],"nautical":[181],"trajectories.":[183],"also":[185],"methods":[189],"outperform":[190],"state":[192],"art":[195],"accuracy":[197],"synthetic":[201],"real":[203],"world":[204],"data.":[205]},"counts_by_year":[],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
