{"id":"https://openalex.org/W2999788471","doi":"https://doi.org/10.1093/jigpal/jzz068","title":"Mining correlated high-utility itemsets using various measures","display_name":"Mining correlated high-utility itemsets using various measures","publication_year":2019,"publication_date":"2019-11-18","ids":{"openalex":"https://openalex.org/W2999788471","doi":"https://doi.org/10.1093/jigpal/jzz068","mag":"2999788471"},"language":"en","primary_location":{"id":"doi:10.1093/jigpal/jzz068","is_oa":false,"landing_page_url":"https://doi.org/10.1093/jigpal/jzz068","pdf_url":null,"source":{"id":"https://openalex.org/S2734381524","display_name":"Logic Journal of IGPL","issn_l":"1367-0751","issn":["1367-0751","1368-9894"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Logic Journal of the IGPL","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/A5038682039","display_name":"Philippe Fournier\u2010Viger","orcid":"https://orcid.org/0000-0002-7680-9899"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Philippe Fournier-Viger","raw_affiliation_strings":["School of Humanities and Social Sciences, Harbin Institute of Technology, 518055, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Humanities and Social Sciences, Harbin Institute of Technology, 518055, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100391587","display_name":"Yimin Zhang","orcid":"https://orcid.org/0000-0001-7673-8800"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yimin Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, 518055, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, 518055, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000640263","display_name":"Jerry Chun\u2010Wei Lin","orcid":"https://orcid.org/0000-0001-8768-9709"},"institutions":[{"id":"https://openalex.org/I179863766","display_name":"Western Norway University of Applied Sciences","ror":"https://ror.org/05phns765","country_code":"NO","type":"education","lineage":["https://openalex.org/I179863766"]}],"countries":["NO"],"is_corresponding":true,"raw_author_name":"Jerry Chun-Wei Lin","raw_affiliation_strings":["Western Norway University of Applied Sciences (HVL), Bergen, Norway, 5020"],"affiliations":[{"raw_affiliation_string":"Western Norway University of Applied Sciences (HVL), Bergen, Norway, 5020","institution_ids":["https://openalex.org/I179863766"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032223071","display_name":"Duy-Tai Dinh","orcid":"https://orcid.org/0000-0001-7597-4262"},"institutions":[{"id":"https://openalex.org/I177738480","display_name":"Japan Advanced Institute of Science and Technology","ror":"https://ror.org/03frj4r98","country_code":"JP","type":"education","lineage":["https://openalex.org/I177738480"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Duy-Tai Dinh","raw_affiliation_strings":["Japan Advanced Institute of Science and Technology, 923-1292 Ishikawa, Japan"],"affiliations":[{"raw_affiliation_string":"Japan Advanced Institute of Science and Technology, 923-1292 Ishikawa, Japan","institution_ids":["https://openalex.org/I177738480"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112425145","display_name":"Ho\u00e0i B\u1eafc L\u00ea","orcid":null},"institutions":[{"id":"https://openalex.org/I23582244","display_name":"Ho Chi Minh City University of Science","ror":"https://ror.org/05jfbgm49","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023","https://openalex.org/I23582244"]}],"countries":["VN"],"is_corresponding":true,"raw_author_name":"Hoai Bac Le","raw_affiliation_strings":["Faculty of Information Technology, University of Science, 700000, Ho Chi Minh City, Vietnam"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, University of Science, 700000, Ho Chi Minh City, Vietnam","institution_ids":["https://openalex.org/I23582244"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5000640263","https://openalex.org/A5032223071","https://openalex.org/A5038682039","https://openalex.org/A5100391587","https://openalex.org/A5112425145"],"corresponding_institution_ids":["https://openalex.org/I177738480","https://openalex.org/I179863766","https://openalex.org/I204983213","https://openalex.org/I23582244"],"apc_list":{"value":4151,"currency":"USD","value_usd":4151},"apc_paid":null,"fwci":7.8003,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.97446486,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"28","issue":"1","first_page":"19","last_page":"32"},"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/T12384","display_name":"Customer churn and segmentation","score":0.9783999919891357,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9775999784469604,"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/computer-science","display_name":"Computer science","score":0.647946834564209},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6250577569007874},{"id":"https://openalex.org/keywords/database-transaction","display_name":"Database transaction","score":0.5879334211349487},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5420507192611694},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.49244293570518494},{"id":"https://openalex.org/keywords/profit","display_name":"Profit (economics)","score":0.4890783429145813},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.12427183985710144}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.647946834564209},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6250577569007874},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.5879334211349487},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5420507192611694},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.49244293570518494},{"id":"https://openalex.org/C181622380","wikidata":"https://www.wikidata.org/wiki/Q26911","display_name":"Profit (economics)","level":2,"score":0.4890783429145813},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.12427183985710144},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1093/jigpal/jzz068","is_oa":false,"landing_page_url":"https://doi.org/10.1093/jigpal/jzz068","pdf_url":null,"source":{"id":"https://openalex.org/S2734381524","display_name":"Logic Journal of IGPL","issn_l":"1367-0751","issn":["1367-0751","1368-9894"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Logic Journal of the IGPL","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/12","display_name":"Responsible consumption and production"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1489843519","https://openalex.org/W1506285740","https://openalex.org/W1571369639","https://openalex.org/W1977851787","https://openalex.org/W2049785083","https://openalex.org/W2079935819","https://openalex.org/W2094830079","https://openalex.org/W2099398039","https://openalex.org/W2100417212","https://openalex.org/W2125352627","https://openalex.org/W2126046032","https://openalex.org/W2161637667","https://openalex.org/W2167115106","https://openalex.org/W2171707497","https://openalex.org/W2177640251","https://openalex.org/W2406806423","https://openalex.org/W2466358669","https://openalex.org/W2914421492","https://openalex.org/W2915063781","https://openalex.org/W4387841511","https://openalex.org/W6630198464","https://openalex.org/W6658550282","https://openalex.org/W6675102427","https://openalex.org/W6679216401","https://openalex.org/W6684256206","https://openalex.org/W6684359936","https://openalex.org/W6685306076","https://openalex.org/W6713867503"],"related_works":["https://openalex.org/W2113309085","https://openalex.org/W2410549043","https://openalex.org/W2133788718","https://openalex.org/W2394010168","https://openalex.org/W128746893","https://openalex.org/W2367573304","https://openalex.org/W2537030075","https://openalex.org/W2006971496","https://openalex.org/W3014936414","https://openalex.org/W2065998343"],"abstract_inverted_index":{"Abstract":[0],"Discovering":[1],"high-utility":[2,25,97,106],"itemsets":[3,48,79,107],"(HUIs)":[4],"consists":[5],"of":[6,9,23,41,72,111,160],"finding":[7,46],"sets":[8],"items":[10,56],"that":[11,30,49,57,80,150],"yield":[12],"a":[13,51,157],"high":[14,52],"profit":[15,53],"in":[16,74],"customer":[17],"transaction":[18],"databases.":[19],"An":[20,90,129],"important":[21],"limitation":[22],"traditional":[24],"itemset":[26,98],"mining":[27],"(HUIM)":[28],"is":[29,35,100,152],"only":[31],"the":[32,39,70,85,112,123,140],"utility":[33],"measure":[34],"used":[36],"for":[37],"assessing":[38],"interestingness":[40],"patterns.":[42],"This":[43],"leads":[44],"to":[45,68,76,102],"several":[47],"have":[50],"but":[54],"contain":[55],"are":[58,81,114,120],"weakly":[59,161],"correlated.":[60],"To":[61],"address":[62],"this":[63,65],"issue,":[64],"paper":[66],"proposes":[67],"integrate":[69],"concept":[71],"correlation":[73],"HUIM":[75,141],"find":[77],"profitable":[78],"highly":[82],"correlated,":[83],"using":[84,134],"all-confidence":[86,124],"and":[87,117,125,146,154],"bond":[88,126],"measures.":[89],"efficient":[91,153],"algorithm":[92,113],"named":[93],"FCHM":[94,151],"(fast":[95],"correlated":[96,105],"miner)":[99],"proposed":[101],"efficiently":[103],"discover":[104],"(CHIs).":[108],"Two":[109],"versions":[110],"proposed:":[115],"FCHM$_{all\\text{-}confidence}$":[116],"FCHM$_{bond}$,":[118],"which":[119],"based":[121],"on":[122],"measures,":[127],"respectively.":[128],"experimental":[130],"evaluation":[131],"was":[132],"done":[133],"four":[135],"real-life":[136],"benchmark":[137],"datasets":[138],"from":[139],"literature:":[142],"mushroom,":[143],"retail,":[144],"kosarak":[145],"foodmart.":[147],"Results":[148],"show":[149],"can":[155],"prune":[156],"huge":[158],"amount":[159],"CHIs.":[162]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}