{"id":"https://openalex.org/W147961764","doi":"https://doi.org/10.3233/ida-2009-0370","title":"On pushing weight constraints deeply into frequent itemset mining","display_name":"On pushing weight constraints deeply into frequent itemset mining","publication_year":2009,"publication_date":"2009-04-17","ids":{"openalex":"https://openalex.org/W147961764","doi":"https://doi.org/10.3233/ida-2009-0370","mag":"147961764"},"language":"en","primary_location":{"id":"doi:10.3233/ida-2009-0370","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ida-2009-0370","pdf_url":null,"source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Data Analysis","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/A5079834335","display_name":"Unil Yun","orcid":"https://orcid.org/0000-0002-3720-0861"},"institutions":[{"id":"https://openalex.org/I163753206","display_name":"Chungbuk National University","ror":"https://ror.org/02wnxgj78","country_code":"KR","type":"education","lineage":["https://openalex.org/I163753206"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Unil Yun","raw_affiliation_strings":["Department of Computer science, School of Electrical & Computer Engineering, Chungbuk National University, Cheongju, Republic of Korea","(Correspd. E-mail: yunei@chungbuk.ac.kr) Department of Computer science, School of Electrical & Computer Engineering, Chungbuk National University, Cheongju, Republic of Korea#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer science, School of Electrical & Computer Engineering, Chungbuk National University, Cheongju, Republic of Korea","institution_ids":["https://openalex.org/I163753206"]},{"raw_affiliation_string":"(Correspd. E-mail: yunei@chungbuk.ac.kr) Department of Computer science, School of Electrical & Computer Engineering, Chungbuk National University, Cheongju, Republic of Korea#TAB#","institution_ids":["https://openalex.org/I163753206"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5079834335"],"corresponding_institution_ids":["https://openalex.org/I163753206"],"apc_list":null,"apc_paid":null,"fwci":2.3142,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.90820073,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"13","issue":"2","first_page":"359","last_page":"383"},"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":0.9957000017166138,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9771000146865845,"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/data-mining","display_name":"Data mining","score":0.7524644136428833},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.7339938879013062},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6407754421234131},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.6138624548912048},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5633913278579712},{"id":"https://openalex.org/keywords/apriori-algorithm","display_name":"Apriori algorithm","score":0.5358034372329712},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.48674964904785156},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.45866265892982483},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4186869263648987},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4108723998069763},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2313646376132965},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.15951725840568542},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.13862347602844238}],"concepts":[{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.7524644136428833},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.7339938879013062},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6407754421234131},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.6138624548912048},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5633913278579712},{"id":"https://openalex.org/C81440476","wikidata":"https://www.wikidata.org/wiki/Q513511","display_name":"Apriori algorithm","level":3,"score":0.5358034372329712},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.48674964904785156},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.45866265892982483},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4186869263648987},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4108723998069763},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2313646376132965},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.15951725840568542},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.13862347602844238},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/ida-2009-0370","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ida-2009-0370","pdf_url":null,"source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Data Analysis","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W33383766","https://openalex.org/W202330906","https://openalex.org/W1484413656","https://openalex.org/W1506285740","https://openalex.org/W1516723845","https://openalex.org/W1542978828","https://openalex.org/W1569347009","https://openalex.org/W1583495264","https://openalex.org/W1965702297","https://openalex.org/W1974000287","https://openalex.org/W1983506100","https://openalex.org/W2000106226","https://openalex.org/W2023612196","https://openalex.org/W2033157982","https://openalex.org/W2064853889","https://openalex.org/W2080632942","https://openalex.org/W2085638007","https://openalex.org/W2094770144","https://openalex.org/W2098268836","https://openalex.org/W2100417212","https://openalex.org/W2115482638","https://openalex.org/W2125714474","https://openalex.org/W2128723273","https://openalex.org/W2131020804","https://openalex.org/W2131338731","https://openalex.org/W2134197825","https://openalex.org/W2137012502","https://openalex.org/W2138732923","https://openalex.org/W2148187800","https://openalex.org/W2148693963","https://openalex.org/W2150141766","https://openalex.org/W2162034534","https://openalex.org/W2166559705","https://openalex.org/W2168196587","https://openalex.org/W2170726034"],"related_works":["https://openalex.org/W2390051172","https://openalex.org/W2367209111","https://openalex.org/W2351000793","https://openalex.org/W2366790077","https://openalex.org/W2348276166","https://openalex.org/W3034345083","https://openalex.org/W2607264580","https://openalex.org/W1483188779","https://openalex.org/W2383378197","https://openalex.org/W4389611318"],"abstract_inverted_index":{"There":[0],"have":[1],"been":[2],"many":[3],"studies":[4],"on":[5],"mining":[6,14,22],"frequent":[7,30],"itemset":[8],"(or":[9],"pattern)":[10],"in":[11,21],"the":[12],"data":[13],"field":[15],"because":[16],"of":[17],"its":[18],"broad":[19],"applications":[20],"association":[23],"rules,":[24],"correlations,":[25],"graph":[26],"patterns,":[27,31,33],"constraint":[28],"based":[29],"sequential":[32],"and":[34],"ma":[35]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}