{"id":"https://openalex.org/W2021139088","doi":"https://doi.org/10.1145/2093973.2094006","title":"Median trajectories using well-visited regions and shortest paths","display_name":"Median trajectories using well-visited regions and shortest paths","publication_year":2011,"publication_date":"2011-11-01","ids":{"openalex":"https://openalex.org/W2021139088","doi":"https://doi.org/10.1145/2093973.2094006","mag":"2021139088"},"language":"en","primary_location":{"id":"doi:10.1145/2093973.2094006","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2093973.2094006","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-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/A5053874521","display_name":"Marc van Kreveld","orcid":"https://orcid.org/0000-0001-8208-3468"},"institutions":[{"id":"https://openalex.org/I193662353","display_name":"Utrecht University","ror":"https://ror.org/04pp8hn57","country_code":"NL","type":"education","lineage":["https://openalex.org/I193662353"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Marc van Kreveld","raw_affiliation_strings":["Utrecht University","Utrecht university > > > >"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Utrecht University","institution_ids":["https://openalex.org/I193662353"]},{"raw_affiliation_string":"Utrecht university > > > >","institution_ids":["https://openalex.org/I193662353"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048954383","display_name":"Lionov Wiratma","orcid":null},"institutions":[{"id":"https://openalex.org/I137666373","display_name":"Parahyangan Catholic University","ror":"https://ror.org/01texbd31","country_code":"ID","type":"education","lineage":["https://openalex.org/I137666373"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Lionov Wiratma","raw_affiliation_strings":["Parahyangan Catholic University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Parahyangan Catholic University","institution_ids":["https://openalex.org/I137666373"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5605,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.82584343,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"241","last_page":"250"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9995999932289124,"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/T11106","display_name":"Data Management and Algorithms","score":0.9995999932289124,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9387000203132629,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.925000011920929,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/trajectory","display_name":"Trajectory","score":0.810936689376831},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.7153404951095581},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5729155540466309},{"id":"https://openalex.org/keywords/median","display_name":"Median","score":0.4595367908477783},{"id":"https://openalex.org/keywords/homotopy","display_name":"Homotopy","score":0.45543843507766724},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45138129591941833},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4459451735019684},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3499053716659546},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.12020552158355713},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.07505074143409729}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.810936689376831},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.7153404951095581},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5729155540466309},{"id":"https://openalex.org/C156460124","wikidata":"https://www.wikidata.org/wiki/Q235001","display_name":"Median","level":2,"score":0.4595367908477783},{"id":"https://openalex.org/C5961521","wikidata":"https://www.wikidata.org/wiki/Q746083","display_name":"Homotopy","level":2,"score":0.45543843507766724},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45138129591941833},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4459451735019684},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3499053716659546},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.12020552158355713},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.07505074143409729},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2093973.2094006","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2093973.2094006","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1191195697","display_name":null,"funder_award_id":"600.065.120.10N203","funder_id":"https://openalex.org/F4320321800","funder_display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek"}],"funders":[{"id":"https://openalex.org/F4320321800","display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","ror":"https://ror.org/04jsz6e67"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1600584489","https://openalex.org/W1659555498","https://openalex.org/W1816717522","https://openalex.org/W1981398125","https://openalex.org/W2008926781","https://openalex.org/W2047216628","https://openalex.org/W2057435778","https://openalex.org/W2060346657","https://openalex.org/W2069469539","https://openalex.org/W2110707662","https://openalex.org/W2112695860","https://openalex.org/W2139188177","https://openalex.org/W2143284629","https://openalex.org/W2161587450","https://openalex.org/W3104980367","https://openalex.org/W4247453596","https://openalex.org/W4285719527","https://openalex.org/W6638333849"],"related_works":["https://openalex.org/W1541544021","https://openalex.org/W1593608134","https://openalex.org/W594006333","https://openalex.org/W855649553","https://openalex.org/W560518003","https://openalex.org/W2948015574","https://openalex.org/W1901596169","https://openalex.org/W2066763577","https://openalex.org/W2992079699","https://openalex.org/W2386652892"],"abstract_inverted_index":{"For":[0],"a":[1,6,10,26,36,63,74,106],"set":[2,30,42],"of":[3,40,43,66,86,95],"\"similar\"":[4],"trajectories,":[5,44],"median":[7,37],"trajectory":[8,11,27],"is":[9,13],"that":[12,126],"most":[14],"like":[15],"the":[16,19,29,41,67,93,96],"trajectories":[17,68,87,97],"in":[18,98],"set,":[20],"but":[21],"it":[22,61,81],"need":[23],"not":[24,77,91],"be":[25,70],"from":[28,38,47,121],"itself.":[31],"A":[32],"recent":[33],"method":[34,56],"composed":[35],"parts":[39,52,85],"using":[45],"ideas":[46],"homotopy":[48,89],"to":[49,53,69,109,115],"decide":[50],"which":[51,124],"use.":[54],"That":[55],"has":[57],"two":[58,112],"drawbacks.":[59],"Firstly,":[60],"requires":[62],"significant":[64],"subset":[65,75],"homotopic,":[71],"and":[72],"such":[73],"may":[76],"always":[78],"exist.":[79],"Secondly,":[80],"sometimes":[82],"misses":[83],"relevant":[84],"because":[88],"does":[90],"characterize":[92],"shape":[94],"all":[99],"situations.":[100],"In":[101],"this":[102],"paper":[103],"we":[104],"present":[105],"new":[107],"approach":[108],"overcome":[110],"these":[111],"drawbacks,":[113],"leading":[114],"majority":[116,127],"medians.":[117,134],"We":[118],"give":[119],"results":[120],"extensive":[122],"experiments,":[123],"indicate":[125],"medians":[128],"are":[129],"indeed":[130],"better":[131],"than":[132],"homotopic":[133]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
