{"id":"https://openalex.org/W2076593916","doi":"https://doi.org/10.4018/ijghpc.2013100106","title":"Parallel Distributed Trajectory Pattern Mining Using Hierarchical Grid with MapReduce","display_name":"Parallel Distributed Trajectory Pattern Mining Using Hierarchical Grid with MapReduce","publication_year":2013,"publication_date":"2013-10-01","ids":{"openalex":"https://openalex.org/W2076593916","doi":"https://doi.org/10.4018/ijghpc.2013100106","mag":"2076593916"},"language":"en","primary_location":{"id":"doi:10.4018/ijghpc.2013100106","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijghpc.2013100106","pdf_url":null,"source":{"id":"https://openalex.org/S43307632","display_name":"International Journal of Grid and High Performance Computing","issn_l":"1938-0259","issn":["1938-0259","1938-0267"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Grid and High Performance Computing","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/A5103280533","display_name":"Kazuhiro Seki","orcid":"https://orcid.org/0000-0002-1967-4334"},"institutions":[{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"education","lineage":["https://openalex.org/I65837984"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Kazuhiro Seki","raw_affiliation_strings":["Kobe University, Kobe, Japan","[Kobe University, Kobe, JAPAN]"],"affiliations":[{"raw_affiliation_string":"Kobe University, Kobe, Japan","institution_ids":["https://openalex.org/I65837984"]},{"raw_affiliation_string":"[Kobe University, Kobe, JAPAN]","institution_ids":["https://openalex.org/I65837984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017348380","display_name":"Ryota Jinno","orcid":null},"institutions":[{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"education","lineage":["https://openalex.org/I65837984"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ryota Jinno","raw_affiliation_strings":["Kobe University, Kobe, Japan","[Kobe University, Kobe, JAPAN]"],"affiliations":[{"raw_affiliation_string":"Kobe University, Kobe, Japan","institution_ids":["https://openalex.org/I65837984"]},{"raw_affiliation_string":"[Kobe University, Kobe, JAPAN]","institution_ids":["https://openalex.org/I65837984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023847482","display_name":"Kuniaki Uehara","orcid":"https://orcid.org/0000-0002-7160-3752"},"institutions":[{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"education","lineage":["https://openalex.org/I65837984"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kuniaki Uehara","raw_affiliation_strings":["Kobe University, Kobe, Japan","[Kobe University, Kobe, JAPAN]"],"affiliations":[{"raw_affiliation_string":"Kobe University, Kobe, Japan","institution_ids":["https://openalex.org/I65837984"]},{"raw_affiliation_string":"[Kobe University, Kobe, JAPAN]","institution_ids":["https://openalex.org/I65837984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103280533"],"corresponding_institution_ids":["https://openalex.org/I65837984"],"apc_list":null,"apc_paid":null,"fwci":2.2344,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.88508844,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"5","issue":"4","first_page":"79","last_page":"96"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":1.0,"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":1.0,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.995199978351593,"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/computer-science","display_name":"Computer science","score":0.830937385559082},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.7736059427261353},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.6925164461135864},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5971037149429321},{"id":"https://openalex.org/keywords/quadtree","display_name":"Quadtree","score":0.5612760782241821},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5537447333335876},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3138827085494995},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.19033953547477722},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.0716823935508728}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.830937385559082},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.7736059427261353},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6925164461135864},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5971037149429321},{"id":"https://openalex.org/C151416825","wikidata":"https://www.wikidata.org/wiki/Q934791","display_name":"Quadtree","level":2,"score":0.5612760782241821},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5537447333335876},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3138827085494995},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.19033953547477722},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0716823935508728},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","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},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.4018/ijghpc.2013100106","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijghpc.2013100106","pdf_url":null,"source":{"id":"https://openalex.org/S43307632","display_name":"International Journal of Grid and High Performance Computing","issn_l":"1938-0259","issn":["1938-0259","1938-0267"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Grid and High Performance Computing","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:igg:jghpc0:v:5:y:2013:i:4:p:79-96","is_oa":false,"landing_page_url":"http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijghpc.2013100106","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W32731733","https://openalex.org/W1506285740","https://openalex.org/W1552408883","https://openalex.org/W1566114229","https://openalex.org/W1673310716","https://openalex.org/W1977496278","https://openalex.org/W1981398125","https://openalex.org/W2007159514","https://openalex.org/W2012580531","https://openalex.org/W2049633694","https://openalex.org/W2056487692","https://openalex.org/W2089471724","https://openalex.org/W2090702599","https://openalex.org/W2096137215","https://openalex.org/W2126399065","https://openalex.org/W2131175701","https://openalex.org/W2131897314","https://openalex.org/W2168694032","https://openalex.org/W2262269501","https://openalex.org/W3003734944","https://openalex.org/W4211012425"],"related_works":["https://openalex.org/W4253586140","https://openalex.org/W2042588826","https://openalex.org/W2372141727","https://openalex.org/W2388177796","https://openalex.org/W2286458017","https://openalex.org/W2368170224","https://openalex.org/W2078645328","https://openalex.org/W1973301025","https://openalex.org/W2207790469","https://openalex.org/W2392155297"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,26,37,40,75,90,97],"new":[4],"approach":[5,78,83,135],"to":[6,12,101,118],"trajectory":[7,30],"pattern":[8],"mining,":[9],"which":[10],"attempts":[11],"discover":[13,102],"frequent":[14,87],"movement":[15],"patterns":[16,61,88,139],"from":[17],"the":[18,56,70,72,114,120,130,133,145],"trajectories":[19],"of":[20,29,52,132],"moving":[21],"objects.":[22],"For":[23],"dealing":[24],"with":[25,39,79,89,140],"large":[27,65],"volume":[28],"data,":[31],"traditional":[32],"approaches":[33],"quantize":[34],"them":[35],"by":[36],"grid":[38,92,99],"fixed":[41],"resolution.":[42],"However,":[43],"an":[44],"appropriate":[45],"resolution":[46,57],"often":[47],"varies":[48],"across":[49],"different":[50],"areas":[51],"trajectories.":[53],"Simply":[54],"increasing":[55],"cannot":[58],"capture":[59],"broad":[60],"and":[62,93,111],"consumes":[63],"unnecessarily":[64],"computational":[66,142],"resources.":[67],"To":[68],"solve":[69],"problem,":[71],"authors":[73],"propose":[74],"hierarchical":[76],"grid-based":[77],"quadtree":[80],"search.":[81],"The":[82,106,122],"initially":[84],"searches":[85],"for":[86],"coarse":[91],"drills":[94],"down":[95],"into":[96],"finer":[98],"level":[100],"more":[103],"minute":[104],"patterns.":[105],"algorithm":[107],"is":[108],"naturally":[109],"parallelized":[110],"implemented":[112],"in":[113,136],"MapReduce":[115],"programming":[116],"model":[117],"accelerate":[119],"computation.":[121],"authors\u2019":[123,134],"evaluative":[124],"experiments":[125],"on":[126],"real-word":[127],"data":[128],"show":[129],"effectiveness":[131],"mining":[137],"complex":[138],"lower":[141],"cost":[143],"than":[144],"previous":[146],"work.":[147]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}