{"id":"https://openalex.org/W2947950257","doi":"https://doi.org/10.1186/s40537-019-0203-6","title":"Detecting taxi movements using Random Swap clustering and sequential pattern mining","display_name":"Detecting taxi movements using Random Swap clustering and sequential pattern mining","publication_year":2019,"publication_date":"2019-05-13","ids":{"openalex":"https://openalex.org/W2947950257","doi":"https://doi.org/10.1186/s40537-019-0203-6","mag":"2947950257"},"language":"en","primary_location":{"id":"doi:10.1186/s40537-019-0203-6","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-019-0203-6","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-019-0203-6","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"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":"Journal of Big Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-019-0203-6","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026547820","display_name":"Rami Ibrahim","orcid":"https://orcid.org/0000-0001-7167-4203"},"institutions":[{"id":"https://openalex.org/I67031392","display_name":"Carleton University","ror":"https://ror.org/02qtvee93","country_code":"CA","type":"education","lineage":["https://openalex.org/I67031392"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Rami Ibrahim","raw_affiliation_strings":["School of Information Technology, Carleton University, Ottawa, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Technology, Carleton University, Ottawa, ON, Canada","institution_ids":["https://openalex.org/I67031392"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087753797","display_name":"M. Omair Shafiq","orcid":"https://orcid.org/0000-0002-1859-8296"},"institutions":[{"id":"https://openalex.org/I67031392","display_name":"Carleton University","ror":"https://ror.org/02qtvee93","country_code":"CA","type":"education","lineage":["https://openalex.org/I67031392"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"M. Omair Shafiq","raw_affiliation_strings":["School of Information Technology, Carleton University, Ottawa, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Technology, Carleton University, Ottawa, ON, Canada","institution_ids":["https://openalex.org/I67031392"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5087753797"],"corresponding_institution_ids":["https://openalex.org/I67031392"],"apc_list":{"value":1990,"currency":"USD","value_usd":1990},"apc_paid":{"value":1990,"currency":"USD","value_usd":1990},"fwci":1.8578,"has_fulltext":true,"cited_by_count":19,"citation_normalized_percentile":{"value":0.86221846,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"6","issue":"1","first_page":null,"last_page":null},"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9991999864578247,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9991999864578247,"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/cluster-analysis","display_name":"Cluster analysis","score":0.8241223096847534},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8092176914215088},{"id":"https://openalex.org/keywords/swap","display_name":"Swap (finance)","score":0.7387464046478271},{"id":"https://openalex.org/keywords/silhouette","display_name":"Silhouette","score":0.6015042066574097},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5952012538909912},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"Hierarchical clustering","score":0.5326924324035645},{"id":"https://openalex.org/keywords/k-means-clustering","display_name":"k-means clustering","score":0.4949762225151062},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3347782492637634}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8241223096847534},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8092176914215088},{"id":"https://openalex.org/C99821215","wikidata":"https://www.wikidata.org/wiki/Q1136583","display_name":"Swap (finance)","level":2,"score":0.7387464046478271},{"id":"https://openalex.org/C58103923","wikidata":"https://www.wikidata.org/wiki/Q2286025","display_name":"Silhouette","level":2,"score":0.6015042066574097},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5952012538909912},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.5326924324035645},{"id":"https://openalex.org/C207968372","wikidata":"https://www.wikidata.org/wiki/Q310401","display_name":"k-means clustering","level":3,"score":0.4949762225151062},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3347782492637634},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1186/s40537-019-0203-6","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-019-0203-6","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-019-0203-6","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"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":"Journal of Big Data","raw_type":"journal-article"},{"id":"pmh:oai:carleton.ca:24400","is_oa":true,"landing_page_url":"https://ir.library.carleton.ca/pub/24400","pdf_url":null,"source":{"id":"https://openalex.org/S4306402514","display_name":"Carleton University's Institutional Repository (MacOdrum Library, Carleton University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Big Data vol. 6 no. 1","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:doaj.org/article:8b1e35e0ba9b4c6eac0011eb3c8a8229","is_oa":true,"landing_page_url":"https://doaj.org/article/8b1e35e0ba9b4c6eac0011eb3c8a8229","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Big Data, Vol 6, Iss 1, Pp 1-26 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s40537-019-0203-6","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-019-0203-6","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-019-0203-6","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"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":"Journal of Big Data","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.7799999713897705}],"awards":[],"funders":[{"id":"https://openalex.org/F4320310249","display_name":"Carleton University","ror":"https://ror.org/02qtvee93"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2947950257.pdf","grobid_xml":"https://content.openalex.org/works/W2947950257.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W151377110","https://openalex.org/W1487910914","https://openalex.org/W1587026990","https://openalex.org/W1608194207","https://openalex.org/W1673310716","https://openalex.org/W1717467887","https://openalex.org/W1948764664","https://openalex.org/W1966778069","https://openalex.org/W1977556410","https://openalex.org/W1987971958","https://openalex.org/W1988580225","https://openalex.org/W1992661195","https://openalex.org/W1996881001","https://openalex.org/W2037064502","https://openalex.org/W2056638635","https://openalex.org/W2112738128","https://openalex.org/W2116965831","https://openalex.org/W2124044975","https://openalex.org/W2126194848","https://openalex.org/W2133610185","https://openalex.org/W2144506299","https://openalex.org/W2176149189","https://openalex.org/W2182491110","https://openalex.org/W2273947476","https://openalex.org/W2488461070","https://openalex.org/W2666762702","https://openalex.org/W2741571546","https://openalex.org/W2755527497","https://openalex.org/W2785992966","https://openalex.org/W2790265224","https://openalex.org/W2793343370","https://openalex.org/W2794764873","https://openalex.org/W2982437619","https://openalex.org/W4254687493","https://openalex.org/W4399538195","https://openalex.org/W6602019454","https://openalex.org/W6644682428"],"related_works":["https://openalex.org/W2976247231","https://openalex.org/W3200375535","https://openalex.org/W4401883448","https://openalex.org/W2113424041","https://openalex.org/W1967492795","https://openalex.org/W4389539476","https://openalex.org/W2120258591","https://openalex.org/W2378227553","https://openalex.org/W1584028106","https://openalex.org/W2385548616"],"abstract_inverted_index":{"Moving":[0],"objects":[1],"such":[2],"as":[3],"people,":[4],"animals,":[5],"and":[6,20,31,55,62,75,95,112,165,210,237],"vehicles":[7],"have":[8],"generated":[9,196],"a":[10,46,50,156],"large":[11],"amount":[12],"of":[13,52,109,114,131,144,147,185,212],"spatiotemporal":[14],"data":[15,25,37],"by":[16,57],"using":[17],"location-capture":[18],"technologies":[19],"mobile":[21],"devices.":[22],"This":[23,66,218],"collected":[24],"needs":[26],"to":[27,33,48,160,170,229],"be":[28,221],"processed,":[29],"visualized":[30],"analyzed":[32],"transform":[34],"raw":[35],"trajectory":[36],"into":[38,79],"useful":[39,231],"knowledge.":[40],"In":[41,116,188],"this":[42],"study,":[43],"we":[44,154,192,202],"build":[45],"system":[47,67,176,219],"deliver":[49],"set":[51],"traffic":[53,163,194,226],"insights":[54],"recommendations":[56],"applying":[58],"two":[59,86,104],"techniques,":[60,88],"clustering,":[61],"sequential":[63,167,180],"pattern":[64,168],"mining.":[65],"has":[68],"three":[69],"stages,":[70],"the":[71,77,82,89,96,117,120,135,145,162,186,189,198,204,213,224],"first":[72],"stage":[73,84],"preprocesses":[74],"samples":[76],"dataset":[78],"168":[80],"subsets,":[81],"second":[83],"applies":[85],"clustering":[87,93,99,105,126],"hierarchical":[90],"density-based":[91],"spatial":[92],"(HDBSCAN)":[94],"Random":[97],"Swap":[98],"(RS).":[100],"We":[101],"compare":[102],"these":[103],"algorithms":[106],"in":[107,129,142,182,215],"terms":[108,130,143],"processing":[110],"time":[111],"quality":[113],"clusters.":[115],"comparative":[118],"analysis,":[119],"Silhouette":[121],"coefficient":[122],"shows":[123,137],"that":[124,138],"RS":[125,139,199],"outperforms":[127,140],"HDBSCAN":[128],"clusters":[132,195],"quality.":[133],"Moreover,":[134],"analysis":[136],"K-means":[141],"mean":[146],"square":[148],"error":[149],"(MSE)":[150],"reduction.":[151],"After":[152],"that,":[153],"use":[155],"Google":[157],"Maps":[158],"approach":[159],"label":[161],"districts":[164],"apply":[166],"mining":[169],"extract":[171],"taxi":[172,205,234],"trips":[173,206],"flow.":[174],"The":[175],"can":[177,220],"detect":[178],"146":[179],"patterns":[181],"different":[183],"areas":[184],"city.":[187,217],"last":[190],"stage,":[191],"visualize":[193,203],"from":[197],"algorithm.":[200],"Furthermore,":[201],"heatmap":[207],"per":[208],"weekday":[209],"hour":[211],"day":[214],"Porto":[216],"integrated":[222],"with":[223],"current":[225],"control":[227],"applications":[228],"provide":[230],"guidelines":[232],"for":[233],"drivers,":[235],"passengers,":[236],"transportation":[238],"authorities.":[239]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}