{"id":"https://openalex.org/W1992311583","doi":"https://doi.org/10.1145/1516241.1516316","title":"A new data structure for asynchronous periodic pattern mining","display_name":"A new data structure for asynchronous periodic pattern mining","publication_year":2009,"publication_date":"2009-02-15","ids":{"openalex":"https://openalex.org/W1992311583","doi":"https://doi.org/10.1145/1516241.1516316","mag":"1992311583"},"language":"en","primary_location":{"id":"doi:10.1145/1516241.1516316","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1516241.1516316","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Ubiquitous Information Management and Communication","raw_type":"proceedings-article"},"type":"conference-paper","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/A5074741120","display_name":"Jieh-Shan Yeh","orcid":null},"institutions":[{"id":"https://openalex.org/I177918364","display_name":"Providence University","ror":"https://ror.org/03fcpsq87","country_code":"TW","type":"education","lineage":["https://openalex.org/I177918364"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jieh-Shan Yeh","raw_affiliation_strings":["Providence University, Taichung, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Providence University, Taichung, Taiwan","institution_ids":["https://openalex.org/I177918364"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054702299","display_name":"Szu-Chen Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I177918364","display_name":"Providence University","ror":"https://ror.org/03fcpsq87","country_code":"TW","type":"education","lineage":["https://openalex.org/I177918364"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Szu-Chen Lin","raw_affiliation_strings":["Providence University, Taichung, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Providence University, Taichung, Taiwan","institution_ids":["https://openalex.org/I177918364"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I177918364"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.08808472,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"426","last_page":"431"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9998999834060669,"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":0.9998999834060669,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11269","display_name":"Algorithms and Data Compression","score":0.9908999800682068,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.7191036343574524},{"id":"https://openalex.org/keywords/asynchronous-communication","display_name":"Asynchronous communication","score":0.6359800696372986},{"id":"https://openalex.org/keywords/data-structure","display_name":"Data structure","score":0.46048152446746826},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3381772041320801},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.16613829135894775},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.15427044034004211}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7191036343574524},{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.6359800696372986},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.46048152446746826},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3381772041320801},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.16613829135894775},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.15427044034004211}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1516241.1516316","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1516241.1516316","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Ubiquitous Information Management and Communication","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6820827673","display_name":null,"funder_award_id":"NSC97-2221-E-126-007","funder_id":"https://openalex.org/F4320321040","funder_display_name":"National Science Council"}],"funders":[{"id":"https://openalex.org/F4320321040","display_name":"National Science Council","ror":"https://ror.org/02kv4zf79"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W20722260","https://openalex.org/W58080530","https://openalex.org/W1484413656","https://openalex.org/W1487431269","https://openalex.org/W1506285740","https://openalex.org/W2039152947","https://openalex.org/W2050400354","https://openalex.org/W2064853889","https://openalex.org/W2108072252","https://openalex.org/W2126310301","https://openalex.org/W2127516258","https://openalex.org/W2147440465","https://openalex.org/W2149660273","https://openalex.org/W2156026066","https://openalex.org/W2158454296","https://openalex.org/W2168196587","https://openalex.org/W4252403066","https://openalex.org/W6600858539"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2116677773","https://openalex.org/W2155261584","https://openalex.org/W2584231425","https://openalex.org/W2390279801","https://openalex.org/W2150611273","https://openalex.org/W4207086172","https://openalex.org/W2358668433","https://openalex.org/W2042919702","https://openalex.org/W4225981436"],"abstract_inverted_index":{"The":[0,117],"periodic":[1,8,20,28,35,78,106],"pattern":[2,36,79],"mining":[3,27,37,80],"is":[4],"to":[5,58,72],"discover":[6,59],"valid":[7,63,89],"patterns":[9,29,100],"in":[10,31,65],"a":[11],"time-related":[12],"dataset.":[13],"Previous":[14],"studies":[15],"mostly":[16],"concern":[17],"the":[18,55,73,125],"synchronous":[19],"patterns.":[21,107],"There":[22],"are":[23],"many":[24],"methods":[25],"for":[26],"proposed":[30,81],"literature.":[32],"Nevertheless,":[33],"asynchronous":[34,77,105],"gradually":[38],"receives":[39],"more":[40,42],"and":[41,54,84,104,128],"attention":[43],"recently.":[44],"In":[45],"this":[46],"paper,":[47],"we":[48,86,109],"propose":[49],"an":[50],"efficient":[51],"linked":[52],"structure":[53],"OEOP":[56,93],"algorithm":[57],"all":[60],"kinds":[61],"of":[62,76],"segments":[64,90],"each":[66],"single":[67],"event":[68],"sequence.":[69],"Then,":[70],"refer":[71],"general":[74],"model":[75],"by":[82,92],"Huang":[83],"Chang,":[85],"combine":[87],"these":[88,111,122],"found":[91],"into":[94],"1-patterns":[95],"with":[96,101],"multiple":[97,99,102],"events,":[98],"events":[103],"Besides,":[108],"implement":[110],"algorithms":[112,123],"on":[113],"two":[114],"real":[115],"datasets.":[116],"experimental":[118],"results":[119],"show":[120],"that":[121],"have":[124],"good":[126],"performance":[127],"scalability.":[129]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":3},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
