{"id":"https://openalex.org/W2063920058","doi":"https://doi.org/10.1145/1835804.1835920","title":"Towards mobility-based clustering","display_name":"Towards mobility-based clustering","publication_year":2010,"publication_date":"2010-07-25","ids":{"openalex":"https://openalex.org/W2063920058","doi":"https://doi.org/10.1145/1835804.1835920","mag":"2063920058"},"language":"en","primary_location":{"id":"doi:10.1145/1835804.1835920","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1835804.1835920","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining","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/A5100406613","display_name":"Siyuan Liu","orcid":"https://orcid.org/0000-0001-7810-4393"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Siyuan Liu","raw_affiliation_strings":["The Hong Kong University of Science and Technology, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082653046","display_name":"Yunhuai Liu","orcid":"https://orcid.org/0000-0002-1180-8078"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yunhuai Liu","raw_affiliation_strings":["The Hong Kong University of Science and Technology, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021357065","display_name":"Lionel M. Ni","orcid":"https://orcid.org/0000-0002-2325-6215"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Lionel M. Ni","raw_affiliation_strings":["The Hong Kong University of Science and Technology, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100728564","display_name":"Jianping Fan","orcid":"https://orcid.org/0000-0002-4923-0910"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianping Fan","raw_affiliation_strings":["Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China","Shenzhen Institutes of Advanced technology, Chinese Academy of Sciences, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]},{"raw_affiliation_string":"Shenzhen Institutes of Advanced technology, Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100608804","display_name":"Minglu Li","orcid":"https://orcid.org/0000-0001-6547-3472"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minglu Li","raw_affiliation_strings":["Shanghai Jiaotong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiaotong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100406613"],"corresponding_institution_ids":["https://openalex.org/I200769079"],"apc_list":null,"apc_paid":null,"fwci":27.3362,"has_fulltext":false,"cited_by_count":181,"citation_normalized_percentile":{"value":0.99528362,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"919","last_page":"928"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9961000084877014,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8723770380020142},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7341965436935425},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.6923741102218628},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.604041337966919},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45957207679748535},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4249914884567261},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.368476927280426},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.10563567280769348}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8723770380020142},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7341965436935425},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.6923741102218628},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.604041337966919},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45957207679748535},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4249914884567261},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.368476927280426},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.10563567280769348},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/1835804.1835920","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1835804.1835920","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-17063","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-17063","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"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":"Conference paper"},{"id":"pmh:oai:repository.ust.hk:1783.1-17063","is_oa":false,"landing_page_url":"http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=&rft.volume=&rft.issue=&rft.date=2010&rft.spage=919&rft.aulast=Liu&rft.aufirst=S.&rft.atitle=Towards+mobility-based+clustering&rft.title=Proceedings+of+the+ACM+SIGKDD+International+Conference+on+Knowledge+Discovery+and+Data+Mining","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8199999928474426,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W27430470","https://openalex.org/W1606909344","https://openalex.org/W1660390307","https://openalex.org/W1671721960","https://openalex.org/W1976152410","https://openalex.org/W1988426485","https://openalex.org/W1991249762","https://openalex.org/W2015131757","https://openalex.org/W2045174117","https://openalex.org/W2047216628","https://openalex.org/W2049075975","https://openalex.org/W2068987343","https://openalex.org/W2092335550","https://openalex.org/W2093038664","https://openalex.org/W2095897464","https://openalex.org/W2097357452","https://openalex.org/W2120263102","https://openalex.org/W2122583654","https://openalex.org/W2126626732","https://openalex.org/W2126751256","https://openalex.org/W2133839490","https://openalex.org/W2141685271","https://openalex.org/W2144342293","https://openalex.org/W2165155128","https://openalex.org/W2165336231","https://openalex.org/W2171660758","https://openalex.org/W2293546752","https://openalex.org/W4231029117","https://openalex.org/W6637101025"],"related_works":["https://openalex.org/W2804364458","https://openalex.org/W4298130764","https://openalex.org/W2132641928","https://openalex.org/W4310225030","https://openalex.org/W2090259340","https://openalex.org/W2140798747","https://openalex.org/W2393816671","https://openalex.org/W2158836806","https://openalex.org/W2083665254","https://openalex.org/W1926736923"],"abstract_inverted_index":{"Identifying":[0],"hot":[1,21,169],"spots":[2,22,170],"of":[3,38,67,118,145,159],"moving":[4],"vehicles":[5,160],"in":[6,23,102],"an":[7],"urban":[8],"area":[9],"is":[10,89,120],"essential":[11],"to":[12,61,97,135],"many":[13,27],"smart":[14,24],"city":[15,25],"applications.":[16],"The":[17,86],"practical":[18],"research":[19],"on":[20,149],"presents":[26],"unique":[28],"features,":[29],"such":[30,115],"as":[31,95,161],"highly":[32],"mobile":[33],"environments,":[34],"supremely":[35],"limited":[36],"size":[37],"sample":[39,91],"objects,":[40,68],"and":[41,133],"the":[42,55,63,70,99,111,116,127,143,162,177],"non-uniform,":[43],"biased":[44],"samples.":[45],"All":[46],"these":[47,137],"features":[48],"have":[49,130],"raised":[50],"new":[51],"challenges":[52],"that":[53,90,156],"make":[54],"traditional":[56],"density-based":[57],"clustering":[58,65,147,165],"algorithms":[59],"fail":[60],"capture":[62],"real":[64,150],"property":[66],"making":[69],"results":[71,154],"less":[72],"meaningful.":[73],"In":[74],"this":[75],"paper":[76],"we":[77],"propose":[78],"a":[79],"novel,":[80],"non-density-based":[81],"approach":[82],"called":[83],"mobility-based":[84,146,164],"clustering.":[85],"key":[87,124],"idea":[88],"objects":[92],"are":[93,139],"employed":[94],"\"sensors\"":[96],"perceive":[98],"vehicle":[100,128],"crowdedness":[101,129],"nearby":[103],"areas":[104],"using":[105,157],"their":[106],"instant":[107],"mobility,":[108],"rather":[109],"than":[110],"\"object":[112],"representatives\".":[113],"As":[114],"mobility":[117],"samples":[119],"naturally":[121],"incorporated.":[122],"Several":[123],"factors":[125],"beyond":[126],"been":[131],"identified":[132],"techniques":[134],"compensate":[136],"effects":[138],"proposed.":[140],"We":[141],"evaluate":[142],"performance":[144],"based":[148],"traffic":[151],"situations.":[152],"Experimental":[153],"show":[155],"0.3%":[158],"samples,":[163],"can":[166,172],"accurately":[167],"identify":[168],"which":[171],"hardly":[173],"be":[174],"obtained":[175],"by":[176],"latest":[178],"representative":[179],"algorithm":[180],"UMicro.":[181]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":16},{"year":2016,"cited_by_count":20},{"year":2015,"cited_by_count":20},{"year":2014,"cited_by_count":21},{"year":2013,"cited_by_count":18},{"year":2012,"cited_by_count":14}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}