{"id":"https://openalex.org/W2030738916","doi":"https://doi.org/10.1109/iri.2014.7051967","title":"Timed sequential pattern mining based on confidence in accumulated intervals","display_name":"Timed sequential pattern mining based on confidence in accumulated intervals","publication_year":2014,"publication_date":"2014-08-01","ids":{"openalex":"https://openalex.org/W2030738916","doi":"https://doi.org/10.1109/iri.2014.7051967","mag":"2030738916"},"language":"en","primary_location":{"id":"doi:10.1109/iri.2014.7051967","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iri.2014.7051967","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 IEEE 15th International Conference on Information Reuse and Integration (IEEE IRI 2014)","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/A5035751940","display_name":"Chichang Jou","orcid":"https://orcid.org/0000-0002-5698-5350"},"institutions":[{"id":"https://openalex.org/I107470533","display_name":"Tamkang University","ror":"https://ror.org/04tft4718","country_code":"TW","type":"education","lineage":["https://openalex.org/I107470533"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Chichang Jou","raw_affiliation_strings":["Department of Information Management, Tamkang University, New Taipei City, Taiwan","Department of Information Management, Tamkang University, 151, Yingzhuan Rd., Tamsui, New Taipei City 25137, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Information Management, Tamkang University, New Taipei City, Taiwan","institution_ids":["https://openalex.org/I107470533"]},{"raw_affiliation_string":"Department of Information Management, Tamkang University, 151, Yingzhuan Rd., Tamsui, New Taipei City 25137, Taiwan","institution_ids":["https://openalex.org/I107470533"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074053440","display_name":"Huan\u2010Jyh Shyur","orcid":null},"institutions":[{"id":"https://openalex.org/I107470533","display_name":"Tamkang University","ror":"https://ror.org/04tft4718","country_code":"TW","type":"education","lineage":["https://openalex.org/I107470533"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Huan-Jyh Shyur","raw_affiliation_strings":["Department of Information Management, Tamkang University, New Taipei City, Taiwan","Department of Information Management, Tamkang University, 151, Yingzhuan Rd., Tamsui, New Taipei City 25137, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Information Management, Tamkang University, New Taipei City, Taiwan","institution_ids":["https://openalex.org/I107470533"]},{"raw_affiliation_string":"Department of Information Management, Tamkang University, 151, Yingzhuan Rd., Tamsui, New Taipei City 25137, Taiwan","institution_ids":["https://openalex.org/I107470533"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087805659","display_name":"Chih-Yu Yen","orcid":null},"institutions":[{"id":"https://openalex.org/I107470533","display_name":"Tamkang University","ror":"https://ror.org/04tft4718","country_code":"TW","type":"education","lineage":["https://openalex.org/I107470533"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chih-Yu Yen","raw_affiliation_strings":["Department of Information Management, Tamkang University, New Taipei City, Taiwan","Department of Information Management, Tamkang University, 151, Yingzhuan Rd., Tamsui, New Taipei City 25137, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Information Management, Tamkang University, New Taipei City, Taiwan","institution_ids":["https://openalex.org/I107470533"]},{"raw_affiliation_string":"Department of Information Management, Tamkang University, 151, Yingzhuan Rd., Tamsui, New Taipei City 25137, Taiwan","institution_ids":["https://openalex.org/I107470533"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5035751940"],"corresponding_institution_ids":["https://openalex.org/I107470533"],"apc_list":null,"apc_paid":null,"fwci":0.818,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.82203112,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"16","issue":null,"first_page":"771","last_page":"778"},"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":0.9746999740600586,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9717000126838684,"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":0.726581335067749},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6774832010269165},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.661583662033081},{"id":"https://openalex.org/keywords/sequential-pattern-mining","display_name":"Sequential Pattern Mining","score":0.5865293145179749},{"id":"https://openalex.org/keywords/confidence-interval","display_name":"Confidence interval","score":0.5348870158195496},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5314653515815735},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.5165416598320007},{"id":"https://openalex.org/keywords/execution-time","display_name":"Execution time","score":0.44141387939453125},{"id":"https://openalex.org/keywords/sequence-database","display_name":"Sequence database","score":0.4276672601699829},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.20902502536773682},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1486087441444397},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.09603214263916016}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.726581335067749},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6774832010269165},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.661583662033081},{"id":"https://openalex.org/C149490388","wikidata":"https://www.wikidata.org/wiki/Q1718507","display_name":"Sequential Pattern Mining","level":2,"score":0.5865293145179749},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.5348870158195496},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5314653515815735},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.5165416598320007},{"id":"https://openalex.org/C2989134064","wikidata":"https://www.wikidata.org/wiki/Q288510","display_name":"Execution time","level":2,"score":0.44141387939453125},{"id":"https://openalex.org/C41584329","wikidata":"https://www.wikidata.org/wiki/Q175902","display_name":"Sequence database","level":3,"score":0.4276672601699829},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.20902502536773682},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1486087441444397},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.09603214263916016},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iri.2014.7051967","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iri.2014.7051967","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 IEEE 15th International Conference on Information Reuse and Integration (IEEE IRI 2014)","raw_type":"proceedings-article"},{"id":"pmh:oai:tkuir.lib.tku.edu.tw:987654321/99535","is_oa":false,"landing_page_url":"https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/99535","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W153025040","https://openalex.org/W1484413656","https://openalex.org/W1641039719","https://openalex.org/W1995315754","https://openalex.org/W2028157671","https://openalex.org/W2040891895","https://openalex.org/W2064853889","https://openalex.org/W2089323326","https://openalex.org/W2150620553","https://openalex.org/W2158454296","https://openalex.org/W2168196587","https://openalex.org/W4252403066","https://openalex.org/W6606265780","https://openalex.org/W6628750762","https://openalex.org/W6636681434"],"related_works":["https://openalex.org/W2391115647","https://openalex.org/W1999399860","https://openalex.org/W1964670850","https://openalex.org/W2388168350","https://openalex.org/W2069759208","https://openalex.org/W2797268647","https://openalex.org/W2390900636","https://openalex.org/W2012697571","https://openalex.org/W2532889016","https://openalex.org/W1980121416"],"abstract_inverted_index":{"Many":[0],"applications":[1],"of":[2,8,16,41,61,121,123],"sequential":[3,30,33,108,146],"patterns":[4,31,124],"require":[5],"a":[6,9,14,21,46,62,138],"guarantee":[7],"particular":[10,47,63],"event":[11,48],"happening":[12],"within":[13],"period":[15],"time.":[17],"We":[18],"propose":[19],"CAI-PrefixSpan,":[20],"new":[22],"data":[23],"mining":[24],"algorithm":[25],"to":[26],"obtain":[27],"confident":[28,107],"timed":[29,145],"from":[32],"databases.":[34,97],"Based":[35],"on":[36,94],"PrefixSpan,":[37],"it":[38,50,72,102],"takes":[39],"advantage":[40],"the":[42,54,58,68,75,81,95,99],"pattern-growth":[43],"approach.":[44],"After":[45],"sequence,":[49],"would":[51],"first":[52],"calculate":[53],"confidence":[55,70],"level":[56],"regarding":[57],"eventual":[59],"occurrence":[60],"event.":[64],"For":[65],"those":[66],"pass":[67],"minimal":[69,76],"requirement,":[71],"then":[73,85],"computes":[74],"time":[77],"interval":[78],"that":[79,135],"satisfies":[80],"support":[82],"requirement.":[83],"It":[84],"generates":[86],"corresponding":[87],"projected":[88,96],"databases,":[89],"and":[90,126,131,140],"applies":[91],"itself":[92],"recursively":[93],"With":[98],"timing":[100],"information,":[101],"obtains":[103],"fewer":[104],"but":[105],"more":[106],"patterns.":[109,147],"CAI-PrefixSpan":[110,136],"is":[111,137],"implemented":[112],"along":[113],"with":[114],"PrefixSpan.":[115],"They":[116],"are":[117],"compared":[118],"in":[119,143],"terms":[120],"numbers":[122],"obtained":[125],"execution":[127],"efficiency.":[128],"Our":[129],"effectiveness":[130],"performance":[132],"study":[133],"shows":[134],"valuable":[139],"efficient":[141],"approach":[142],"obtaining":[144]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}