{"id":"https://openalex.org/W2186751573","doi":"https://doi.org/10.14778/2732939.2732949","title":"Splitter","display_name":"Splitter","publication_year":2014,"publication_date":"2014-05-01","ids":{"openalex":"https://openalex.org/W2186751573","doi":"https://doi.org/10.14778/2732939.2732949","mag":"2186751573"},"language":"en","primary_location":{"id":"doi:10.14778/2732939.2732949","is_oa":false,"landing_page_url":"https://doi.org/10.14778/2732939.2732949","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","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/A5100460272","display_name":"Chao Zhang","orcid":"https://orcid.org/0000-0003-3009-598X"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Chao Zhang","raw_affiliation_strings":["University of Illinois, Urbana-Champaign, Urbana, IL"],"affiliations":[{"raw_affiliation_string":"University of Illinois, Urbana-Champaign, Urbana, IL","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019539533","display_name":"Jiawei Han","orcid":"https://orcid.org/0000-0002-3629-2696"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiawei Han","raw_affiliation_strings":["University of Illinois, Urbana-Champaign, Urbana, IL"],"affiliations":[{"raw_affiliation_string":"University of Illinois, Urbana-Champaign, Urbana, IL","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103017455","display_name":"Lidan Shou","orcid":"https://orcid.org/0000-0001-8062-8356"},"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":"Lidan Shou","raw_affiliation_strings":["Zhejiang University, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103139695","display_name":"Jiajun Lu","orcid":"https://orcid.org/0009-0004-3599-5973"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiajun Lu","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, Urbana, IL"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, Urbana, IL","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073465096","display_name":"Thomas La Porta","orcid":"https://orcid.org/0000-0003-1295-4461"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thomas La Porta","raw_affiliation_strings":["Penn State University, PA"],"affiliations":[{"raw_affiliation_string":"Penn State University, PA","institution_ids":["https://openalex.org/I130769515"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100460272"],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":13.6773,"has_fulltext":false,"cited_by_count":136,"citation_normalized_percentile":{"value":0.99265471,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":"7","issue":"9","first_page":"769","last_page":"780"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9986000061035156,"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":0.9941999912261963,"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":0.8005938529968262},{"id":"https://openalex.org/keywords/snippet","display_name":"Snippet","score":0.7687994241714478},{"id":"https://openalex.org/keywords/splitter","display_name":"Splitter","score":0.6484858989715576},{"id":"https://openalex.org/keywords/joins","display_name":"Joins","score":0.6105443835258484},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5882036685943604},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5144181847572327},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5031186938285828},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4652826189994812},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.4605310261249542},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.41503196954727173},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34928905963897705},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.3399748206138611},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.29010629653930664},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.09545528888702393}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8005938529968262},{"id":"https://openalex.org/C2777822670","wikidata":"https://www.wikidata.org/wiki/Q1120538","display_name":"Snippet","level":2,"score":0.7687994241714478},{"id":"https://openalex.org/C2777403171","wikidata":"https://www.wikidata.org/wiki/Q7578732","display_name":"Splitter","level":2,"score":0.6484858989715576},{"id":"https://openalex.org/C2778692605","wikidata":"https://www.wikidata.org/wiki/Q4041866","display_name":"Joins","level":2,"score":0.6105443835258484},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5882036685943604},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5144181847572327},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5031186938285828},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4652826189994812},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.4605310261249542},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.41503196954727173},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34928905963897705},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.3399748206138611},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.29010629653930664},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.09545528888702393},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.14778/2732939.2732949","is_oa":false,"landing_page_url":"https://doi.org/10.14778/2732939.2732949","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.8500000238418579}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1544466327","https://openalex.org/W1551268746","https://openalex.org/W1584003909","https://openalex.org/W1608194207","https://openalex.org/W1837913551","https://openalex.org/W2012580531","https://openalex.org/W2023279748","https://openalex.org/W2026413985","https://openalex.org/W2067191022","https://openalex.org/W2072957930","https://openalex.org/W2077451659","https://openalex.org/W2104634547","https://openalex.org/W2117658559","https://openalex.org/W2140251882","https://openalex.org/W2141136363","https://openalex.org/W2147377427","https://openalex.org/W2158454296","https://openalex.org/W2165169065","https://openalex.org/W2482992981"],"related_works":["https://openalex.org/W1607713096","https://openalex.org/W3036724449","https://openalex.org/W2798329462","https://openalex.org/W1511521437","https://openalex.org/W3201315194","https://openalex.org/W4318980730","https://openalex.org/W2985134635","https://openalex.org/W2950904665","https://openalex.org/W2088925915","https://openalex.org/W2357101623"],"abstract_inverted_index":{"Driven":[0],"by":[1,171,183],"the":[2,8,61,64,127,149,153,156,184,207,222],"advance":[3],"of":[4,10,134,143,226],"positioning":[5],"technology":[6],"and":[7,30,39,109,175,199,217,224],"popularity":[9],"location-sharing":[11],"services,":[12],"semantic-enriched":[13],"trajectory":[14,144],"data":[15,51,219],"have":[16],"become":[17],"unprecedentedly":[18],"available.":[19],"The":[20],"sequential":[21,44,84,99,121],"patterns":[22,55,100,122],"hidden":[23],"in":[24,56,63,123,152,167,178],"such":[25,119,197],"data,":[26],"when":[27],"properly":[28],"defined":[29],"extracted,":[31],"can":[32],"greatly":[33],"benefit":[34],"tasks":[35],"like":[36],"targeted":[37],"advertising":[38],"urban":[40],"planning.":[41],"Unfortunately,":[42],"classic":[43],"pattern":[45,163,209],"mining":[46],"algorithms":[47],"developed":[48],"for":[49],"transactional":[50],"cannot":[52,67],"effectively":[53,117],"mine":[54,94,118],"semantic":[57,107],"trajectories,":[58],"mainly":[59],"because":[60],"places":[62,75],"continuous":[65],"space":[66,181],"be":[68,78],"regarded":[69],"as":[70],"independent":[71],"\"items\".":[72],"Instead,":[73],"similar":[74],"need":[76],"to":[77,80,93,116,195,204],"grouped":[79],"collaboratively":[81],"form":[82],"frequent":[83],"patterns.":[85],"That":[86],"said,":[87],"it":[88,130],"remains":[89],"a":[90,132,141,168,179,201],"challenging":[91],"task":[92],"what":[95],"we":[96],"call":[97],"fine-grained":[98,120,165],",":[101],"which":[102],"must":[103],"satisfy":[104],"spatial":[105],"compactness,":[106],"consistency":[108],"temporal":[110],"continuity":[111],"simultaneously.":[112],"We":[113],"propose":[114],"Splitter":[115,159,186],"two":[124],"steps.":[125],"In":[126,155],"first":[128],"step,":[129,158],"retrieves":[131],"set":[133,142],"spatially":[135],"coarse":[136,162],"patterns,":[137],"each":[138,161],"attached":[139],"with":[140],"snippets":[145],"that":[146],"precisely":[147],"record":[148],"pattern's":[150],"occurrences":[151],"database.":[154],"second":[157],"breaks":[160],"into":[164],"ones":[166],"top-down":[169,208],"manner,":[170],"progressively":[172],"detecting":[173],"dense":[174],"compact":[176],"clusters":[177],"higher-dimensional":[180],"spanned":[182],"snippets.":[185],"uses":[187],"an":[188],"effective":[189],"algorithm":[190],"called":[191],"weighted":[192],"snippet":[193],"shift":[194],"detect":[196],"clusters,":[198],"leverages":[200],"divide-and-conquer":[202],"strategy":[203],"speed":[205],"up":[206],"splitting":[210],"process.":[211],"Our":[212],"experiments":[213],"on":[214],"both":[215],"real":[216],"synthetic":[218],"sets":[220],"demonstrate":[221],"effectiveness":[223],"efficiency":[225],"Splitter.":[227]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":28},{"year":2019,"cited_by_count":14},{"year":2018,"cited_by_count":13},{"year":2017,"cited_by_count":25},{"year":2016,"cited_by_count":10},{"year":2015,"cited_by_count":10},{"year":2014,"cited_by_count":2}],"updated_date":"2026-03-01T08:55:55.761014","created_date":"2016-06-24T00:00:00"}