{"id":"https://openalex.org/W2777328501","doi":"https://doi.org/10.1145/3139958.3140051","title":"ST-COPOT","display_name":"ST-COPOT","publication_year":2017,"publication_date":"2017-11-07","ids":{"openalex":"https://openalex.org/W2777328501","doi":"https://doi.org/10.1145/3139958.3140051","mag":"2777328501"},"language":"en","primary_location":{"id":"doi:10.1145/3139958.3140051","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3139958.3140051","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100326131","display_name":"Yongli Zhang","orcid":"https://orcid.org/0000-0002-3808-3425"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yongli Zhang","raw_affiliation_strings":["Department of Computer Science, University of Houston, Houston, TX"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Houston, Houston, TX","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056584154","display_name":"Christoph F. Eick","orcid":"https://orcid.org/0000-0002-6798-103X"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christoph F. Eick","raw_affiliation_strings":["Department of Computer Science, University of Houston, Houston, TX"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Houston, Houston, TX","institution_ids":["https://openalex.org/I44461941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I44461941"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9991000294685364,"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":0.9991000294685364,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9940000176429749,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9936000108718872,"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/computer-science","display_name":"Computer science","score":0.7060978412628174},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5931971669197083},{"id":"https://openalex.org/keywords/polygon","display_name":"Polygon (computer graphics)","score":0.5773729681968689},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5076433420181274},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.502919614315033},{"id":"https://openalex.org/keywords/kernel-density-estimation","display_name":"Kernel density estimation","score":0.47076037526130676},{"id":"https://openalex.org/keywords/temporal-database","display_name":"Temporal database","score":0.4424108862876892},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43934327363967896},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.43173953890800476},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4159931540489197},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.4118339419364929},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22127723693847656}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7060978412628174},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5931971669197083},{"id":"https://openalex.org/C190694206","wikidata":"https://www.wikidata.org/wiki/Q3276654","display_name":"Polygon (computer graphics)","level":3,"score":0.5773729681968689},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5076433420181274},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.502919614315033},{"id":"https://openalex.org/C71134354","wikidata":"https://www.wikidata.org/wiki/Q458825","display_name":"Kernel density estimation","level":3,"score":0.47076037526130676},{"id":"https://openalex.org/C77277458","wikidata":"https://www.wikidata.org/wiki/Q1969246","display_name":"Temporal database","level":2,"score":0.4424108862876892},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43934327363967896},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.43173953890800476},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4159931540489197},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.4118339419364929},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22127723693847656},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"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:10.1145/3139958.3140051","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3139958.3140051","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W37489049","https://openalex.org/W182707955","https://openalex.org/W1515923189","https://openalex.org/W1552074189","https://openalex.org/W1673310716","https://openalex.org/W1821242282","https://openalex.org/W1971022913","https://openalex.org/W1975081465","https://openalex.org/W1988817294","https://openalex.org/W1999256274","https://openalex.org/W2003604830","https://openalex.org/W2027592990","https://openalex.org/W2092335550","https://openalex.org/W2112482089","https://openalex.org/W2119721623","https://openalex.org/W2137295153","https://openalex.org/W2147129265","https://openalex.org/W2154002592","https://openalex.org/W2160642098","https://openalex.org/W2169581671","https://openalex.org/W2323009297","https://openalex.org/W2408186052","https://openalex.org/W2461610180","https://openalex.org/W2548299745","https://openalex.org/W2603768743","https://openalex.org/W2626225595"],"related_works":["https://openalex.org/W3016928466","https://openalex.org/W4389574804","https://openalex.org/W2936725271","https://openalex.org/W3150655618","https://openalex.org/W3108295644","https://openalex.org/W1578717197","https://openalex.org/W2626737336","https://openalex.org/W2005998065","https://openalex.org/W2980582925","https://openalex.org/W2411761929"],"abstract_inverted_index":{"Nowadays,":[0],"growing":[1],"effort":[2],"has":[3],"been":[4],"put":[5],"to":[6,73,135],"develop":[7],"spatio-temporal":[8,20,40,79,154],"clustering":[9,33],"approaches":[10],"that":[11,127,148],"are":[12,81,133],"capable":[13],"of":[14,45,108,123],"discovering":[15],"interesting":[16,153],"patterns":[17,155],"in":[18,90,156],"large":[19],"data":[21,53,96,146],"streams.":[22,160],"In":[23],"this":[24],"paper,":[25],"we":[26],"propose":[27],"a":[28,64,94,105,121],"3-phase":[29],"serial,":[30],"density-contour":[31],"based":[32],"algorithm":[34],"called":[35,98],"ST-COPOT,":[36],"which":[37],"can":[38,150],"identify":[39,136],"cluster":[41],"at":[42,77],"multiple":[43],"levels":[44],"density":[46,67,118],"granularity.":[47],"ST-COPOT":[48,149],"takes":[49],"the":[50,109],"point":[51],"cloud":[52],"as":[54,104],"input":[55],"and":[56,70,120],"divides":[57],"it":[58,62],"into":[59],"batches,":[60],"next,":[61],"employs":[63],"non-parametric":[65],"kernel":[66],"estimation":[68],"approach":[69],"contouring":[71],"algorithms":[72],"obtain":[74],"spatial":[75,88,110],"clusters;":[76],"last,":[78],"clusters":[80,89,111],"formed":[82],"by":[83],"identifying":[84],"continuing":[85,137],"relationships":[86],"between":[87],"consecutive":[91],"batches.":[92],"Moreover,":[93],"novel":[95,124],"structure":[97],"contour":[99,130],"polygon":[100,131],"tree":[101],"is":[102],"introduced":[103],"compact":[106],"representation":[107],"obtained":[112],"for":[113,116],"each":[114],"batch":[115],"different":[117],"thresholds,":[119],"family":[122],"distance":[125],"functions":[126],"operate":[128],"on":[129,142],"trees":[132],"proposed":[134],"clusters.":[138],"The":[139],"experimental":[140],"results":[141],"NYC":[143],"taxi":[144,157],"trips":[145],"show":[147],"effectively":[151],"discover":[152],"pickup":[158],"location":[159]},"counts_by_year":[{"year":2018,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2018-01-05T00:00:00"}