{"id":"https://openalex.org/W2912462475","doi":"https://doi.org/10.1109/icdmw.2018.00175","title":"Closed Frequent Itemset Mining with Arbitrary Side Constraints","display_name":"Closed Frequent Itemset Mining with Arbitrary Side Constraints","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2912462475","doi":"https://doi.org/10.1109/icdmw.2018.00175","mag":"2912462475"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdmw.2018.00175","pdf_url":null,"source":{"id":"https://openalex.org/S4363608174","display_name":"2022 IEEE International Conference on Data Mining Workshops (ICDMW)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://eprints.whiterose.ac.uk/141510/1/essence_mining.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076039253","display_name":"G\u00f6kberk Ko\u00e7ak","orcid":"https://orcid.org/0000-0002-6317-0141"},"institutions":[{"id":"https://openalex.org/I16835326","display_name":"University of St Andrews","ror":"https://ror.org/02wn5qz54","country_code":"GB","type":"funder","lineage":["https://openalex.org/I16835326"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Gokberk Kocak","raw_affiliation_strings":["School of Computer Science, University of St Andrews, UK"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of St Andrews, UK","institution_ids":["https://openalex.org/I16835326"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067041446","display_name":"\u00d6zg\u00fcr Akg\u00fcn","orcid":"https://orcid.org/0000-0001-9519-938X"},"institutions":[{"id":"https://openalex.org/I16835326","display_name":"University of St Andrews","ror":"https://ror.org/02wn5qz54","country_code":"GB","type":"funder","lineage":["https://openalex.org/I16835326"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ozgur Akgun","raw_affiliation_strings":["School of Computer Science, University of St Andrews, UK"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of St Andrews, UK","institution_ids":["https://openalex.org/I16835326"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051169226","display_name":"Ian Miguel","orcid":"https://orcid.org/0000-0002-6930-2686"},"institutions":[{"id":"https://openalex.org/I16835326","display_name":"University of St Andrews","ror":"https://ror.org/02wn5qz54","country_code":"GB","type":"funder","lineage":["https://openalex.org/I16835326"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ian Miguel","raw_affiliation_strings":["School of Computer Science, University of St Andrews, UK"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of St Andrews, UK","institution_ids":["https://openalex.org/I16835326"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079214634","display_name":"Peter Nightingale","orcid":"https://orcid.org/0000-0002-5052-8634"},"institutions":[{"id":"https://openalex.org/I52099693","display_name":"University of York","ror":"https://ror.org/04m01e293","country_code":"GB","type":"funder","lineage":["https://openalex.org/I52099693"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Peter Nightingale","raw_affiliation_strings":["Department of Computer Science, University of York, UK"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of York, UK","institution_ids":["https://openalex.org/I52099693"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.602,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":4,"citation_normalized_percentile":{"value":0.422285,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":77,"max":79},"biblio":{"volume":null,"issue":null,"first_page":"1224","last_page":"1232"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9994,"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":0.9994,"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/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.9935,"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"}},{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9925,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.55491686}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7382889},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.6605892},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.630207},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.580708},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.55491686},{"id":"https://openalex.org/C173404611","wikidata":"https://www.wikidata.org/wiki/Q528588","display_name":"Constraint programming","level":3,"score":0.5406861},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.497211},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.43721586},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.22664389},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.20953399},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.16472891},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.16379195},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14377686},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C137631369","wikidata":"https://www.wikidata.org/wiki/Q7617831","display_name":"Stochastic programming","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdmw.2018.00175","pdf_url":null,"source":{"id":"https://openalex.org/S4363608174","display_name":"2022 IEEE International Conference on Data Mining Workshops (ICDMW)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://eprints.whiterose.ac.uk/141510/1/essence_mining.pdf","pdf_url":"https://eprints.whiterose.ac.uk/141510/1/essence_mining.pdf","source":{"id":"https://openalex.org/S4377196101","display_name":"White Rose Research Online (University of Leeds)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I130828816","host_organization_name":"University of Leeds","host_organization_lineage":["https://openalex.org/I130828816"],"host_organization_lineage_names":["University of Leeds"],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://eprints.whiterose.ac.uk/141510/1/essence_mining.pdf","pdf_url":"https://eprints.whiterose.ac.uk/141510/1/essence_mining.pdf","source":{"id":"https://openalex.org/S4377196101","display_name":"White Rose Research Online (University of Leeds)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I130828816","host_organization_name":"University of Leeds","host_organization_lineage":["https://openalex.org/I130828816"],"host_organization_lineage_names":["University of Leeds"],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":36,"referenced_works":["https://openalex.org/W110062765","https://openalex.org/W110175884","https://openalex.org/W1526749820","https://openalex.org/W1542978828","https://openalex.org/W1583495264","https://openalex.org/W1598380601","https://openalex.org/W1764902476","https://openalex.org/W2016030731","https://openalex.org/W2032070420","https://openalex.org/W2046633368","https://openalex.org/W2069737789","https://openalex.org/W2102791214","https://openalex.org/W2107005225","https://openalex.org/W2127724972","https://openalex.org/W2138660495","https://openalex.org/W2142785340","https://openalex.org/W2164197909","https://openalex.org/W2166559705","https://openalex.org/W2197621934","https://openalex.org/W2405776767","https://openalex.org/W2724859488","https://openalex.org/W2734924814","https://openalex.org/W2808704586","https://openalex.org/W2888076381","https://openalex.org/W2888578598","https://openalex.org/W2906160202","https://openalex.org/W2998574808","https://openalex.org/W303670457","https://openalex.org/W3120740533","https://openalex.org/W3123509436","https://openalex.org/W4206807714","https://openalex.org/W4237212694","https://openalex.org/W4289105356","https://openalex.org/W47957325","https://openalex.org/W594343222","https://openalex.org/W854777502"],"related_works":["https://openalex.org/W4291309325","https://openalex.org/W3014936414","https://openalex.org/W2993700121","https://openalex.org/W2410549043","https://openalex.org/W2394010168","https://openalex.org/W2362772308","https://openalex.org/W2356285479","https://openalex.org/W2354366580","https://openalex.org/W2184109998","https://openalex.org/W2113309085"],"abstract_inverted_index":{"Frequent":[0],"itemset":[1,98],"mining":[2],"(FIM)":[3],"is":[4,117],"a":[5,37,85,110,125],"method":[6],"for":[7,121],"finding":[8,76],"regularities":[9],"in":[10,109,145],"transaction":[11],"databases.":[12],"It":[13],"has":[14],"several":[15,60],"application":[16],"areas,":[17],"such":[18,67],"as":[19,68],"market":[20],"basket":[21],"analysis,":[22,24],"genome":[23],"and":[25,74,113,141,149],"drug":[26],"design.":[27],"Finding":[28],"frequent":[29,49,80,97],"itemsets":[30,50],"allows":[31,102],"further":[32],"analysis":[33],"to":[34,62,106],"focus":[35],"on":[36],"small":[38],"subset":[39],"of":[40,48,147],"the":[41,46,136],"data.":[42],"For":[43],"large":[44],"datasets":[45],"number":[47],"can":[51],"also":[52],"be":[53,107],"very":[54],"large,":[55],"defeating":[56],"their":[57],"purpose.":[58],"Therefore,":[59],"extensions":[61],"FIM":[63],"have":[64],"been":[65],"studied,":[66],"adding":[69],"high-utility":[70],"(or":[71,78],"low-cost)":[72],"constraints":[73,94,105],"only":[75],"closed":[77,96],"maximal)":[79],"itemsets.":[81],"This":[82],"paper":[83],"presents":[84],"constraint":[86],"programming":[87],"based":[88],"approach":[89,101,131],"that":[90],"combines":[91],"arbitrary":[92,103],"side":[93,104],"with":[95,132],"mining.":[99],"Our":[100],"expressed":[108],"high":[111],"level":[112],"declarative":[114],"language":[115],"which":[116],"then":[118],"translated":[119],"automatically":[120],"efficient":[122],"solution":[123],"by":[124],"SAT":[126],"solver.":[127],"We":[128],"compare":[129],"our":[130],"state-of-the-art":[133],"algorithms":[134],"via":[135],"MiningZinc":[137],"system":[138],"(where":[139],"possible)":[140],"show":[142],"significant":[143],"contributions":[144],"terms":[146],"performance":[148],"applicability.":[150]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2912462475","counts_by_year":[{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2025-04-16T07:04:01.554742","created_date":"2019-02-21"}