{"id":"https://openalex.org/W2625104058","doi":"https://doi.org/10.1109/tbdata.2017.2717978","title":"Mining the Most Influential -Location Set from Massive Trajectories","display_name":"Mining the Most Influential -Location Set from Massive Trajectories","publication_year":2017,"publication_date":"2017-07-10","ids":{"openalex":"https://openalex.org/W2625104058","doi":"https://doi.org/10.1109/tbdata.2017.2717978","mag":"2625104058"},"language":"en","primary_location":{"id":"doi:10.1109/tbdata.2017.2717978","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbdata.2017.2717978","pdf_url":null,"source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Big Data","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/A5109036417","display_name":"Yuhong Li","orcid":"https://orcid.org/0000-0002-3769-6772"},"institutions":[{"id":"https://openalex.org/I107077323","display_name":"Worcester Polytechnic Institute","ror":"https://ror.org/05ejpqr48","country_code":"US","type":"education","lineage":["https://openalex.org/I107077323"]},{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO","US"],"is_corresponding":true,"raw_author_name":"Yuhong Li","raw_affiliation_strings":["Computer Science Department, Worcester Polytechnic Institute, Worcester, MA","Department of Computer and Information Science, University of Macau, Macau, China"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Worcester Polytechnic Institute, Worcester, MA","institution_ids":["https://openalex.org/I107077323"]},{"raw_affiliation_string":"Department of Computer and Information Science, University of Macau, Macau, China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060363706","display_name":"Jie Bao","orcid":"https://orcid.org/0000-0002-5642-1993"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Bao","raw_affiliation_strings":["Microsoft Research, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100630067","display_name":"Yanhua Li","orcid":null},"institutions":[{"id":"https://openalex.org/I107077323","display_name":"Worcester Polytechnic Institute","ror":"https://ror.org/05ejpqr48","country_code":"US","type":"education","lineage":["https://openalex.org/I107077323"]},{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO","US"],"is_corresponding":false,"raw_author_name":"Yanhua Li","raw_affiliation_strings":["Computer Science Department, Worcester Polytechnic Institute, Worcester, MA","Department of Computer and Information Science, University of Macau, Macau, China"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Worcester Polytechnic Institute, Worcester, MA","institution_ids":["https://openalex.org/I107077323"]},{"raw_affiliation_string":"Department of Computer and Information Science, University of Macau, Macau, China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073986937","display_name":"Yingcai Wu","orcid":"https://orcid.org/0000-0002-1119-3237"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingcai Wu","raw_affiliation_strings":["State Key Lab of CAD & CG, Zhejiang University, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"State Key Lab of CAD & CG, Zhejiang University, Zhejiang, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066286956","display_name":"Zhiguo Gong","orcid":"https://orcid.org/0000-0002-4588-890X"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Zhiguo Gong","raw_affiliation_strings":["Department of Computer and Information Science, University of Macau, Macau, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, University of Macau, Macau, China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100681023","display_name":"Yu Zheng","orcid":"https://orcid.org/0000-0002-5224-4344"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"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":"Yu Zheng","raw_affiliation_strings":["Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5109036417"],"corresponding_institution_ids":["https://openalex.org/I107077323","https://openalex.org/I204512498"],"apc_list":null,"apc_paid":null,"fwci":2.0559,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.88155287,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"4","issue":"4","first_page":"556","last_page":"570"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","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/T11106","display_name":"Data Management and Algorithms","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/T11942","display_name":"Transportation and Mobility Innovations","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"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/T10698","display_name":"Transportation Planning and Optimization","score":0.9948999881744385,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/notation","display_name":"Notation","score":0.6518939137458801},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.5581141710281372},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5387678146362305},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.48783066868782043},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.4753817617893219},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.4279053509235382},{"id":"https://openalex.org/keywords/vertex","display_name":"Vertex (graph theory)","score":0.41907578706741333},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.41014936566352844},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.33613908290863037},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33342158794403076},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30534952878952026},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.25597867369651794},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.23441076278686523},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16894957423210144},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.09575846791267395}],"concepts":[{"id":"https://openalex.org/C45357846","wikidata":"https://www.wikidata.org/wiki/Q2001982","display_name":"Notation","level":2,"score":0.6518939137458801},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.5581141710281372},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5387678146362305},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.48783066868782043},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.4753817617893219},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.4279053509235382},{"id":"https://openalex.org/C80899671","wikidata":"https://www.wikidata.org/wiki/Q1304193","display_name":"Vertex (graph theory)","level":3,"score":0.41907578706741333},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.41014936566352844},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.33613908290863037},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33342158794403076},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30534952878952026},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.25597867369651794},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.23441076278686523},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16894957423210144},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.09575846791267395},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tbdata.2017.2717978","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbdata.2017.2717978","pdf_url":null,"source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Big Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.44999998807907104,"id":"https://metadata.un.org/sdg/8"}],"awards":[{"id":"https://openalex.org/G1668733529","display_name":null,"funder_award_id":"CNS-1657350","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3960699660","display_name":null,"funder_award_id":"FDCT/007/2016/AFJ","funder_id":"https://openalex.org/F4320323893","funder_display_name":"Fundo para o Desenvolvimento das Ci\u00eancias e da Tecnologia"},{"id":"https://openalex.org/G4814215590","display_name":null,"funder_award_id":"61672399","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5047629933","display_name":null,"funder_award_id":"U1609217","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6717609839","display_name":null,"funder_award_id":"61502416","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8213568972","display_name":null,"funder_award_id":"FDCT/116/2013/A3","funder_id":"https://openalex.org/F4320323893","funder_display_name":"Fundo para o Desenvolvimento das Ci\u00eancias e da Tecnologia"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320307905","display_name":"Pitney Bowes","ror":"https://ror.org/03fs66f88"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323893","display_name":"Fundo para o Desenvolvimento das Ci\u00eancias e da Tecnologia","ror":"https://ror.org/05vna4324"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W112063162","https://openalex.org/W168093571","https://openalex.org/W1502063784","https://openalex.org/W1550669880","https://openalex.org/W1626398438","https://openalex.org/W1809001740","https://openalex.org/W1855438859","https://openalex.org/W1971750544","https://openalex.org/W1972436494","https://openalex.org/W1990313671","https://openalex.org/W1992419399","https://openalex.org/W2003207175","https://openalex.org/W2020594369","https://openalex.org/W2021185572","https://openalex.org/W2023279748","https://openalex.org/W2028113911","https://openalex.org/W2046466133","https://openalex.org/W2072957930","https://openalex.org/W2074576075","https://openalex.org/W2075364600","https://openalex.org/W2101823987","https://openalex.org/W2112738128","https://openalex.org/W2120652260","https://openalex.org/W2126194848","https://openalex.org/W2126840151","https://openalex.org/W2131620262","https://openalex.org/W2131824717","https://openalex.org/W2139809240","https://openalex.org/W2143996311","https://openalex.org/W2144475703","https://openalex.org/W2148372359","https://openalex.org/W2150278206","https://openalex.org/W2159772324","https://openalex.org/W2165420145","https://openalex.org/W2165558283","https://openalex.org/W2166771065","https://openalex.org/W2295787074","https://openalex.org/W2495571292","https://openalex.org/W2527694262","https://openalex.org/W3105669253","https://openalex.org/W4234075577","https://openalex.org/W4289866267","https://openalex.org/W6606840743","https://openalex.org/W6636500457","https://openalex.org/W6638487310","https://openalex.org/W6679274366"],"related_works":["https://openalex.org/W2000785801","https://openalex.org/W986318368","https://openalex.org/W2384410913","https://openalex.org/W2352878646","https://openalex.org/W2004734601","https://openalex.org/W2287264064","https://openalex.org/W2130149817","https://openalex.org/W2990194547","https://openalex.org/W1480123525","https://openalex.org/W2620865396"],"abstract_inverted_index":{"Mining":[0],"the":[1,13,65,78,81,93,98,121,136,158,166,171,192],"most":[2],"influential":[3,25],"location":[4],"set":[5],"finds":[6],"<inline-formula><tex-math":[7,69,128,143],"notation=\"LaTeX\">$k$</tex-math>":[8],"</inline-formula>":[9],"locations,":[10],"traversed":[11],"by":[12,169],"maximum":[14],"number":[15],"of":[16,178,196],"unique":[17],"trajectories,":[18],"in":[19,80,101],"a":[20,60,111],"given":[21],"spatial":[22,66],"region.":[23],"These":[24],"locations":[26,43,76],"are":[27,85],"valuable":[28],"for":[29,38,44,54,88,120,135],"resource":[30],"allocation":[31],"applications,":[32],"such":[33],"as":[34],"selecting":[35],"charging":[36],"stations":[37],"electric":[39],"automobiles":[40],"and":[41,51,68,127,131,142,152,174,185,194,206],"suggesting":[42],"placing":[45],"billboards.":[46],"This":[47],"problem":[48],"is":[49,97,176],"NP-hard":[50],"usually":[52],"calls":[53],"an":[55,89,117,132],"interactive":[56],"mining":[57,113,159],"processes":[58],"involving":[59],"user's":[61],"input,":[62],"e.g.,":[63],"changing":[64],"region":[67,126,141],"notation=\"LaTeX\">$k$":[70],"</tex-math></inline-formula>":[71],",":[72,182],"or":[73],"removing":[74],"some":[75],"(from":[77],"results":[79],"previous":[82],"round)":[83],"that":[84],"not":[86],"eligible":[87],"application":[90],"according":[91],"to":[92,156],"domain":[94],"knowledge.":[95],"Efficiency":[96],"major":[99],"concern":[100],"conducting":[102],"this":[103,107],"human-in-the-loop":[104],"mining.":[105],"To":[106],"end,":[108],"we":[109],"propose":[110],"complete":[112],"framework,":[114],"which":[115],"includes":[116],"optimal":[118,147],"method":[119,134,148,163],"light":[122],"setting":[123,138],"(i.e.,":[124,139],"small":[125],"notation=\"LaTeX\">$k$</tex-math></inline-formula>":[129,144],")":[130],"approximate":[133,162],"heavy":[137],"large":[140],").":[145],"The":[146,161],"leverages":[149],"<i>vertex":[150],"grouping</i>":[151],"<i>best-first":[153],"pruning</i>":[154],"techniques":[155],"expedite":[157],"process.":[160],"can":[164],"provide":[165],"performance":[167],"guarantee":[168],"utilizing":[170],"greedy":[172],"heuristic,":[173],"it":[175],"comprised":[177],"<i>efficient":[179],"updating":[180],"strategy</i>":[181],"<i>index":[183],"partition</i>":[184],"<i>workload-based":[186],"optimization":[187],"</i>":[188],"techniques.":[189],"We":[190],"evaluate":[191],"efficiency":[193],"effectiveness":[195],"our":[197],"methods":[198],"based":[199],"on":[200],"two":[201],"taxi":[202],"datasets":[203],"from":[204,210],"China,":[205],"one":[207],"check-in":[208],"dataset":[209],"New":[211],"York.":[212]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}