{"id":"https://openalex.org/W2128581258","doi":"https://doi.org/10.1109/icdm.2002.1183919","title":"Mining association rules from stars","display_name":"Mining association rules from stars","publication_year":2003,"publication_date":"2003-06-26","ids":{"openalex":"https://openalex.org/W2128581258","doi":"https://doi.org/10.1109/icdm.2002.1183919","mag":"2128581258"},"language":"en","primary_location":{"id":"doi:10.1109/icdm.2002.1183919","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdm.2002.1183919","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2002 IEEE International Conference on Data Mining, 2002. Proceedings.","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/A5103554195","display_name":"E. Ka Ka Ng","orcid":null},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"E. Ka Ka Ng","raw_affiliation_strings":["Department of Computer Science and Engineering, Chinese University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Chinese University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091164645","display_name":"A.W.-C. Fu","orcid":"https://orcid.org/0000-0002-1645-3915"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"A. Wai-Chee Fu","raw_affiliation_strings":["Department of Computer Science and Engineering, Chinese University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Chinese University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068556410","display_name":"Ke Wang","orcid":"https://orcid.org/0000-0001-6781-981X"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ke Wang","raw_affiliation_strings":["Department of Computer Science, Simon Fraser University, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Simon Fraser University, Canada","institution_ids":["https://openalex.org/I18014758"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103554195"],"corresponding_institution_ids":["https://openalex.org/I177725633"],"apc_list":null,"apc_paid":null,"fwci":6.3915,"has_fulltext":false,"cited_by_count":49,"citation_normalized_percentile":{"value":0.96381362,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"322","last_page":"329"},"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":0.9954000115394592,"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":0.9714999794960022,"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/association-rule-learning","display_name":"Association rule learning","score":0.8246288299560547},{"id":"https://openalex.org/keywords/star-schema","display_name":"Star schema","score":0.7711575627326965},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7647154331207275},{"id":"https://openalex.org/keywords/join","display_name":"Join (topology)","score":0.7110607028007507},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6694743633270264},{"id":"https://openalex.org/keywords/schema","display_name":"Schema (genetic algorithms)","score":0.6570067405700684},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.48443344235420227},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.4467947781085968},{"id":"https://openalex.org/keywords/data-warehouse","display_name":"Data warehouse","score":0.4262341260910034},{"id":"https://openalex.org/keywords/database-schema","display_name":"Database schema","score":0.3846123516559601},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3525328040122986},{"id":"https://openalex.org/keywords/database-design","display_name":"Database design","score":0.16002202033996582},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10473635792732239}],"concepts":[{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.8246288299560547},{"id":"https://openalex.org/C190703929","wikidata":"https://www.wikidata.org/wiki/Q1331138","display_name":"Star schema","level":4,"score":0.7711575627326965},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7647154331207275},{"id":"https://openalex.org/C2776124973","wikidata":"https://www.wikidata.org/wiki/Q3183033","display_name":"Join (topology)","level":2,"score":0.7110607028007507},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6694743633270264},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.6570067405700684},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.48443344235420227},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.4467947781085968},{"id":"https://openalex.org/C135572916","wikidata":"https://www.wikidata.org/wiki/Q193351","display_name":"Data warehouse","level":2,"score":0.4262341260910034},{"id":"https://openalex.org/C30775581","wikidata":"https://www.wikidata.org/wiki/Q632285","display_name":"Database schema","level":3,"score":0.3846123516559601},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3525328040122986},{"id":"https://openalex.org/C148840519","wikidata":"https://www.wikidata.org/wiki/Q1049878","display_name":"Database design","level":2,"score":0.16002202033996582},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10473635792732239},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icdm.2002.1183919","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdm.2002.1183919","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2002 IEEE International Conference on Data Mining, 2002. Proceedings.","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.57.8725","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.57.8725","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.sfu.ca/~wangk/pub/icdm02.ps","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.44999998807907104,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1481049970","https://openalex.org/W1647965853","https://openalex.org/W1996249351","https://openalex.org/W2000473687","https://openalex.org/W2064803206","https://openalex.org/W2064853889","https://openalex.org/W2072764742","https://openalex.org/W2080133348","https://openalex.org/W2111151528","https://openalex.org/W2166559705","https://openalex.org/W2368069992","https://openalex.org/W2997167919","https://openalex.org/W3039539181","https://openalex.org/W4249787843","https://openalex.org/W4252403066","https://openalex.org/W6676842772","https://openalex.org/W6780396083"],"related_works":["https://openalex.org/W3211811865","https://openalex.org/W155596183","https://openalex.org/W968468762","https://openalex.org/W2584861411","https://openalex.org/W2163009032","https://openalex.org/W160457930","https://openalex.org/W3184524636","https://openalex.org/W1996674508","https://openalex.org/W2075785658","https://openalex.org/W2087376388"],"abstract_inverted_index":{"Association":[0],"rule":[1],"mining":[2,7,26,83,105,138],"is":[3,10,35,46,88],"an":[4,89,101],"important":[5,44,90],"data":[6],"problem.":[8,91],"It":[9],"found":[11],"to":[12,60],"be":[13,78],"useful":[14],"for":[15,104],"conventional":[16],"relational":[17],"data.":[18],"However,":[19],"previous":[20],"work":[21],"has":[22],"mostly":[23],"targeted":[24],"on":[25,84,93,108],"a":[27,33,53,68,135],"single":[28],"table.":[29],"In":[30],"real":[31],"life,":[32],"database":[34],"typically":[36,58],"made":[37],"up":[38],"of":[39,49,95],"multiple":[40],"tables":[41,51,57,66],"and":[42,63],"one":[43],"case":[45],"where":[47],"some":[48],"the":[50,65,85,96,109,116,127,132],"form":[52],"star":[54,69,97],"schema.":[55],"The":[56],"correspond":[59],"entity":[61,74],"sets":[62,75],"joining":[64],"in":[67],"schema":[70,98],"gives":[71],"relationships":[72],"among":[73],"which":[76],"can":[77,124],"very":[79],"interesting":[80],"information.":[81],"Hence":[82],"join":[86,110,117],"result":[87,111],"Based":[92],"characteristics":[94],"we":[99],"propose":[100],"efficient":[102],"algorithm":[103],"association":[106],"rules":[107],"but":[112],"without":[113],"actually":[114],"performing":[115],"operation.":[118],"We":[119],"show":[120],"that":[121],"this":[122],"approach":[123,129],"significantly":[125],"out-perform":[126],"join-then-mine":[128],"even":[130],"when":[131],"latter":[133],"adopts":[134],"fastest":[136],"known":[137],"algorithm.":[139]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":4}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
