{"id":"https://openalex.org/W3156808894","doi":"https://doi.org/10.1007/s10489-020-02172-7","title":"Efficient algorithms for deriving complete frequent itemsets from frequent closed itemsets","display_name":"Efficient algorithms for deriving complete frequent itemsets from frequent closed itemsets","publication_year":2021,"publication_date":"2021-04-11","ids":{"openalex":"https://openalex.org/W3156808894","doi":"https://doi.org/10.1007/s10489-020-02172-7","mag":"3156808894"},"language":"en","primary_location":{"id":"doi:10.1007/s10489-020-02172-7","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-020-02172-7","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","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/A5101810985","display_name":"Cheng-Wei Wu","orcid":"https://orcid.org/0000-0002-5656-015X"},"institutions":[{"id":"https://openalex.org/I75430998","display_name":"National Ilan University","ror":"https://ror.org/01npf0s58","country_code":"TW","type":"education","lineage":["https://openalex.org/I75430998"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Cheng-Wei Wu","raw_affiliation_strings":["National I-Lan University, Yilan, Taiwan"],"raw_orcid":"https://orcid.org/0000-0002-5656-015X","affiliations":[{"raw_affiliation_string":"National I-Lan University, Yilan, Taiwan","institution_ids":["https://openalex.org/I75430998"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110605585","display_name":"JianTao Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I75430998","display_name":"National Ilan University","ror":"https://ror.org/01npf0s58","country_code":"TW","type":"education","lineage":["https://openalex.org/I75430998"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"JianTao Huang","raw_affiliation_strings":["National I-Lan University, Yilan, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National I-Lan University, Yilan, Taiwan","institution_ids":["https://openalex.org/I75430998"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044311429","display_name":"Yun-Wei Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I75430998","display_name":"National Ilan University","ror":"https://ror.org/01npf0s58","country_code":"TW","type":"education","lineage":["https://openalex.org/I75430998"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yun-Wei Lin","raw_affiliation_strings":["National I-Lan University, Yilan, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National I-Lan University, Yilan, Taiwan","institution_ids":["https://openalex.org/I75430998"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084638959","display_name":"Chien-Yu Chuang","orcid":null},"institutions":[{"id":"https://openalex.org/I75430998","display_name":"National Ilan University","ror":"https://ror.org/01npf0s58","country_code":"TW","type":"education","lineage":["https://openalex.org/I75430998"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chien-Yu Chuang","raw_affiliation_strings":["National I-Lan University, Yilan, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National I-Lan University, Yilan, Taiwan","institution_ids":["https://openalex.org/I75430998"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110762440","display_name":"Yu-Chee Tseng","orcid":null},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yu-Chee Tseng","raw_affiliation_strings":["National Yang Ming Chiao Tung University, Yilan, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Yang Ming Chiao Tung University, Yilan, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101810985"],"corresponding_institution_ids":["https://openalex.org/I75430998"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":null,"fwci":1.9776,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.88754281,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"52","issue":"6","first_page":"7002","last_page":"7023"},"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9818999767303467,"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/T11106","display_name":"Data Management and Algorithms","score":0.9473999738693237,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8716042637825012},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.6566249132156372},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6125455498695374},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5634673237800598},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5434728860855103},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4863222539424896},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.46272388100624084},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4133654534816742},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4105386435985565},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.24959850311279297},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.16979363560676575},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07897219061851501}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8716042637825012},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.6566249132156372},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6125455498695374},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5634673237800598},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5434728860855103},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4863222539424896},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.46272388100624084},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4133654534816742},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4105386435985565},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.24959850311279297},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.16979363560676575},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07897219061851501},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10489-020-02172-7","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-020-02172-7","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.41999998688697815,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W841472321","https://openalex.org/W1498871448","https://openalex.org/W1508044906","https://openalex.org/W1537336823","https://openalex.org/W1585646276","https://openalex.org/W2001350744","https://openalex.org/W2008342891","https://openalex.org/W2030969394","https://openalex.org/W2056646133","https://openalex.org/W2064853889","https://openalex.org/W2066771339","https://openalex.org/W2099404336","https://openalex.org/W2105309441","https://openalex.org/W2125643050","https://openalex.org/W2126046032","https://openalex.org/W2144249866","https://openalex.org/W2150815390","https://openalex.org/W2162034534","https://openalex.org/W2169617239","https://openalex.org/W2171479472","https://openalex.org/W2254242365","https://openalex.org/W2278789863","https://openalex.org/W2514829721","https://openalex.org/W2521728485","https://openalex.org/W2587969590","https://openalex.org/W2596993382","https://openalex.org/W2604029285","https://openalex.org/W2790530433","https://openalex.org/W2955320243","https://openalex.org/W4248966671"],"related_works":["https://openalex.org/W3106969033","https://openalex.org/W2186939576","https://openalex.org/W2357988910","https://openalex.org/W2377158164","https://openalex.org/W2187600494","https://openalex.org/W2114030128","https://openalex.org/W2948148442","https://openalex.org/W2135707701","https://openalex.org/W2352493357","https://openalex.org/W4385300891"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
