{"id":"https://openalex.org/W2624114119","doi":"https://doi.org/10.1145/3085504.3085535","title":"Discovering Partial Periodic Itemsets in Temporal Databases","display_name":"Discovering Partial Periodic Itemsets in Temporal Databases","publication_year":2017,"publication_date":"2017-06-05","ids":{"openalex":"https://openalex.org/W2624114119","doi":"https://doi.org/10.1145/3085504.3085535","mag":"2624114119"},"language":"en","primary_location":{"id":"doi:10.1145/3085504.3085535","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3085504.3085535","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th International Conference on Scientific and Statistical Database Management","raw_type":"proceedings-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/A5064495970","display_name":"R. Uday Kiran","orcid":"https://orcid.org/0000-0002-5417-0289"},"institutions":[{"id":"https://openalex.org/I90023481","display_name":"National Institute of Information and Communications Technology","ror":"https://ror.org/016bgq349","country_code":"JP","type":"facility","lineage":["https://openalex.org/I90023481"]},{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"R. Uday Kiran","raw_affiliation_strings":["National Institute of Information and Communications Technology, Tokyo, Japan and University of Tokyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"National Institute of Information and Communications Technology, Tokyo, Japan and University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I90023481","https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110498560","display_name":"Haichuan Shang","orcid":null},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]},{"id":"https://openalex.org/I90023481","display_name":"National Institute of Information and Communications Technology","ror":"https://ror.org/016bgq349","country_code":"JP","type":"facility","lineage":["https://openalex.org/I90023481"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Haichuan Shang","raw_affiliation_strings":["National Institute of Information and Communications Technology, Tokyo, Japan and University of Tokyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"National Institute of Information and Communications Technology, Tokyo, Japan and University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I90023481","https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005790090","display_name":"Masashi Toyoda","orcid":"https://orcid.org/0000-0001-9473-5531"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masashi Toyoda","raw_affiliation_strings":["University of Tokyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056438865","display_name":"Masaru Kitsuregawa","orcid":"https://orcid.org/0000-0003-4027-2994"},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]},{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masaru Kitsuregawa","raw_affiliation_strings":["University of Tokyo, Tokyo, Japan and National Institute of Informatics, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"University of Tokyo, Tokyo, Japan and National Institute of Informatics, Tokyo, Japan","institution_ids":["https://openalex.org/I184597095","https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5064495970"],"corresponding_institution_ids":["https://openalex.org/I74801974","https://openalex.org/I90023481"],"apc_list":null,"apc_paid":null,"fwci":3.869,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.94342952,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":1.0,"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/T11106","display_name":"Data Management and Algorithms","score":0.9955999851226807,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.989799976348877,"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/timestamp","display_name":"Timestamp","score":0.904500424861908},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6961802244186401},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.624224841594696},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6017507910728455},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5833340883255005},{"id":"https://openalex.org/keywords/temporal-database","display_name":"Temporal database","score":0.5700368285179138},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.4143165051937103}],"concepts":[{"id":"https://openalex.org/C113954288","wikidata":"https://www.wikidata.org/wiki/Q186885","display_name":"Timestamp","level":2,"score":0.904500424861908},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6961802244186401},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.624224841594696},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6017507910728455},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5833340883255005},{"id":"https://openalex.org/C77277458","wikidata":"https://www.wikidata.org/wiki/Q1969246","display_name":"Temporal database","level":2,"score":0.5700368285179138},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.4143165051937103},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3085504.3085535","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3085504.3085535","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th International Conference on Scientific and Statistical Database Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W90754076","https://openalex.org/W128175867","https://openalex.org/W159322950","https://openalex.org/W174333354","https://openalex.org/W180183775","https://openalex.org/W352013816","https://openalex.org/W1998959019","https://openalex.org/W2066277072","https://openalex.org/W2108072252","https://openalex.org/W2115482638","https://openalex.org/W2118887058","https://openalex.org/W2123661878","https://openalex.org/W2141332038","https://openalex.org/W2147440465","https://openalex.org/W2149660273","https://openalex.org/W2161383568","https://openalex.org/W2166559705","https://openalex.org/W2475554194","https://openalex.org/W2998574808"],"related_works":["https://openalex.org/W2579899204","https://openalex.org/W2574209248","https://openalex.org/W2884490506","https://openalex.org/W2483088531","https://openalex.org/W4401920050","https://openalex.org/W2294686723","https://openalex.org/W2601871130","https://openalex.org/W2950359320","https://openalex.org/W4390493883","https://openalex.org/W2623500474"],"abstract_inverted_index":{"A":[0,131],"temporal":[1,17,37,55,129],"database":[2],"is":[3,45,57,178],"a":[4,85,121,163],"collection":[5],"of":[6,26,43,71,144,152],"transactions,":[7],"ordered":[8],"by":[9,146],"their":[10,150],"timestamps.":[11],"Discovering":[12,50],"partial":[13,51,81,125,169],"periodic":[14,52,69,82,126,142,170],"itemsets":[15,35,53,127,145],"in":[16,36,48,54,128,155],"databases":[18,56],"has":[19,31,98,109,136],"numerous":[20],"applications.":[21],"However,":[22],"to":[23,66,77,123,139,166],"the":[24,68,92,95,141,156,160],"best":[25],"our":[27,176],"knowledge,":[28],"no":[29],"work":[30],"considered":[32],"finding":[33],"these":[34,104],"databases,":[38],"despite":[39],"that":[40,175],"this":[41,113,117],"type":[42],"data":[44],"very":[46],"common":[47],"real-life.":[49],"challenging.":[58],"It":[59],"requires":[60],"defining":[61],"(i)":[62],"an":[63,75],"appropriate":[64],"measure":[65],"assess":[67],"interestingness":[70,143],"itemsets,":[72],"and":[73],"(ii)":[74],"algorithm":[76,87,165],"efficiently":[78],"find":[79,124],"all":[80,168],"itemsets.":[83,171],"While":[84],"pattern-growth":[86,164],"can":[88],"be":[89],"employed":[90],"for":[91],"second":[93],"sub-task,":[94],"first":[96],"sub-task":[97],"not":[99],"been":[100,137],"addressed.":[101],"Moreover,":[102,159],"how":[103],"two":[105],"tasks":[106],"are":[107],"combined":[108],"significant":[110],"implications.":[111],"In":[112],"paper,":[114],"we":[115],"address":[116],"challenge.":[118],"We":[119],"introduce":[120],"model":[122,177],"databases.":[130],"new":[132],"measure,":[133],"called":[134],"periodic-frequency,":[135],"proposed":[138],"determine":[140],"taking":[147],"into":[148],"account":[149],"number":[151],"cyclic":[153],"repetitions":[154],"entire":[157],"data.":[158],"paper":[161],"introduces":[162],"discover":[167],"Experimental":[172],"results":[173],"demonstrate":[174],"efficient.":[179]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
