{"id":"https://openalex.org/W2782594658","doi":"https://doi.org/10.1108/k-03-2016-0042","title":"Knowledge acquisition of association rules from the customer-lifetime-value perspective","display_name":"Knowledge acquisition of association rules from the customer-lifetime-value perspective","publication_year":2018,"publication_date":"2018-01-15","ids":{"openalex":"https://openalex.org/W2782594658","doi":"https://doi.org/10.1108/k-03-2016-0042","mag":"2782594658"},"language":"en","primary_location":{"id":"doi:10.1108/k-03-2016-0042","is_oa":false,"landing_page_url":"https://doi.org/10.1108/k-03-2016-0042","pdf_url":null,"source":{"id":"https://openalex.org/S168682784","display_name":"Kybernetes","issn_l":"0368-492X","issn":["0368-492X","1758-7883"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Kybernetes","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/A5023571032","display_name":"Cheng-Hsiung Weng","orcid":"https://orcid.org/0000-0002-7632-9297"},"institutions":[{"id":"https://openalex.org/I882009436","display_name":"Central Taiwan University of Science and Technology","ror":"https://ror.org/03d4d3711","country_code":"TW","type":"education","lineage":["https://openalex.org/I882009436"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Cheng-Hsiung Weng","raw_affiliation_strings":["Central Taiwan University of Science and Technology, Taichung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Central Taiwan University of Science and Technology, Taichung, Taiwan","institution_ids":["https://openalex.org/I882009436"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016844075","display_name":"Tony Cheng-Kui Huang","orcid":"https://orcid.org/0000-0001-8994-3598"},"institutions":[{"id":"https://openalex.org/I148099254","display_name":"National Chung Cheng University","ror":"https://ror.org/0028v3876","country_code":"TW","type":"education","lineage":["https://openalex.org/I148099254"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Tony Cheng-Kui Huang","raw_affiliation_strings":["Department of Business Administration, National Chung Cheng University, Minhsiung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Business Administration, National Chung Cheng University, Minhsiung, Taiwan","institution_ids":["https://openalex.org/I148099254"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5023571032"],"corresponding_institution_ids":["https://openalex.org/I882009436"],"apc_list":null,"apc_paid":null,"fwci":2.3561,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.90994425,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"47","issue":"3","first_page":"441","last_page":"457"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9991000294685364,"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":0.9991000294685364,"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":0.9988999962806702,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.964900016784668,"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/association-rule-learning","display_name":"Association rule learning","score":0.8140991926193237},{"id":"https://openalex.org/keywords/database-transaction","display_name":"Database transaction","score":0.7027655839920044},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6310358047485352},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.5869448781013489},{"id":"https://openalex.org/keywords/customer-profitability","display_name":"Customer profitability","score":0.5585541725158691},{"id":"https://openalex.org/keywords/purchasing","display_name":"Purchasing","score":0.5539530515670776},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.549432635307312},{"id":"https://openalex.org/keywords/profitability-index","display_name":"Profitability index","score":0.5484139323234558},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5475101470947266},{"id":"https://openalex.org/keywords/customer-lifetime-value","display_name":"Customer lifetime value","score":0.48606422543525696},{"id":"https://openalex.org/keywords/transaction-data","display_name":"Transaction data","score":0.4613798260688782},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.41877931356430054},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30872178077697754},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.18674510717391968},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.18515121936798096},{"id":"https://openalex.org/keywords/customer-retention","display_name":"Customer retention","score":0.17208868265151978},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.15160465240478516},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.14579126238822937},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.10994729399681091}],"concepts":[{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.8140991926193237},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.7027655839920044},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6310358047485352},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.5869448781013489},{"id":"https://openalex.org/C53878828","wikidata":"https://www.wikidata.org/wiki/Q5196468","display_name":"Customer profitability","level":5,"score":0.5585541725158691},{"id":"https://openalex.org/C2778813691","wikidata":"https://www.wikidata.org/wiki/Q1369832","display_name":"Purchasing","level":2,"score":0.5539530515670776},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.549432635307312},{"id":"https://openalex.org/C129361004","wikidata":"https://www.wikidata.org/wiki/Q2470236","display_name":"Profitability index","level":2,"score":0.5484139323234558},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5475101470947266},{"id":"https://openalex.org/C130721881","wikidata":"https://www.wikidata.org/wiki/Q1146253","display_name":"Customer lifetime value","level":5,"score":0.48606422543525696},{"id":"https://openalex.org/C127722929","wikidata":"https://www.wikidata.org/wiki/Q7833714","display_name":"Transaction data","level":3,"score":0.4613798260688782},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.41877931356430054},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30872178077697754},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.18674510717391968},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.18515121936798096},{"id":"https://openalex.org/C101276457","wikidata":"https://www.wikidata.org/wiki/Q5196474","display_name":"Customer retention","level":4,"score":0.17208868265151978},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.15160465240478516},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.14579126238822937},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.10994729399681091},{"id":"https://openalex.org/C140781008","wikidata":"https://www.wikidata.org/wiki/Q1221081","display_name":"Service quality","level":3,"score":0.0},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1108/k-03-2016-0042","is_oa":false,"landing_page_url":"https://doi.org/10.1108/k-03-2016-0042","pdf_url":null,"source":{"id":"https://openalex.org/S168682784","display_name":"Kybernetes","issn_l":"0368-492X","issn":["0368-492X","1758-7883"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Kybernetes","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":48,"referenced_works":["https://openalex.org/W38016301","https://openalex.org/W202330906","https://openalex.org/W1484413656","https://openalex.org/W1498871448","https://openalex.org/W1545716103","https://openalex.org/W1550084988","https://openalex.org/W1588664955","https://openalex.org/W1974545432","https://openalex.org/W1987600202","https://openalex.org/W1987776546","https://openalex.org/W2003839768","https://openalex.org/W2010932644","https://openalex.org/W2018928989","https://openalex.org/W2030714694","https://openalex.org/W2033157982","https://openalex.org/W2044458697","https://openalex.org/W2045029544","https://openalex.org/W2046529204","https://openalex.org/W2050248182","https://openalex.org/W2051375929","https://openalex.org/W2053840083","https://openalex.org/W2054114339","https://openalex.org/W2062751323","https://openalex.org/W2064853889","https://openalex.org/W2071240213","https://openalex.org/W2073908148","https://openalex.org/W2076677061","https://openalex.org/W2081547566","https://openalex.org/W2095243793","https://openalex.org/W2098943122","https://openalex.org/W2108081061","https://openalex.org/W2129017820","https://openalex.org/W2130193710","https://openalex.org/W2140190241","https://openalex.org/W2147468801","https://openalex.org/W2151969307","https://openalex.org/W2155980843","https://openalex.org/W2166559705","https://openalex.org/W2168877816","https://openalex.org/W2194629029","https://openalex.org/W2207034823","https://openalex.org/W2224042128","https://openalex.org/W2314338633","https://openalex.org/W2316902503","https://openalex.org/W2409683338","https://openalex.org/W2512965003","https://openalex.org/W2998574808","https://openalex.org/W4214702734"],"related_works":["https://openalex.org/W2153033154","https://openalex.org/W2118053852","https://openalex.org/W4205797001","https://openalex.org/W1878817531","https://openalex.org/W4242599341","https://openalex.org/W2761950031","https://openalex.org/W3036124657","https://openalex.org/W649756595","https://openalex.org/W2899804673","https://openalex.org/W2119318622"],"abstract_inverted_index":{"Purpose":[0],"Customer":[1],"lifetime":[2],"value":[3],"(CLV)":[4],"scoring":[5],"is":[6,65,184],"highly":[7],"effective":[8],"when":[9],"applied":[10],"to":[11,52,62,78,83,110,132,187],"marketing":[12],"databases.":[13],"Some":[14],"researchers":[15],"have":[16,39],"extended":[17,94],"the":[18,41,88,95,102,112,120,143,148,158,163,178,185,189],"traditional":[19,96],"association":[20,36,85,97,103],"rule":[21,37,98],"problem":[22,99],"by":[23,100],"associating":[24],"a":[25,31,108,123],"weight":[26,106,130],"with":[27,107],"each":[28],"item":[29],"in":[30,177],"transaction.":[32],"However,":[33],"studies":[34],"of":[35,46,104,116,128],"mining":[38],"considered":[40],"relative":[42],"benefits":[43],"or":[44],"significance":[45],"\u201citems\u201d":[47],"rather":[48],"than":[49],"\u201ctransactions\u201d":[50],"belonging":[51],"different":[53],"customers.":[54],"Because":[55],"not":[56],"all":[57],"customers":[58],"are":[59],"financially":[60],"attractive":[61],"firms,":[63],"it":[64],"crucial":[66],"that":[67,73,147],"their":[68],"profitability":[69],"be":[70,75],"determined":[71],"and":[72,114],"transactions":[74,197],"weighted":[76],"according":[77],"CLV.":[79,200],"This":[80,92,182],"study":[81,93,183],"aims":[82],"discover":[84,133,153],"rules":[86],"from":[87,136,142,196],"CLV":[89,105,129],"perspective.":[90],"Design/methodology/approach":[91],"allowing":[101],"transaction":[109],"reflect":[111],"interest":[113],"intensity":[115],"customer":[117,174],"values.":[118],"Furthermore,":[119],"authors":[121],"proposed":[122,149],"new":[124],"algorithm,":[125],"frequent":[126,134,155,159,194],"itemsets":[127,135,160,176,195],"(FICLV),":[131],"CLV-weighted":[137],"transactions.":[138],"Findings":[139],"Experimental":[140],"results":[141],"survey":[144],"data":[145],"indicate":[146],"FICLV":[150,164],"algorithm":[151,165],"can":[152],"valuable":[154],"itemsets.":[156],"Moreover,":[157],"identified":[161],"using":[162],"outperform":[166],"those":[167],"discovered":[168],"through":[169,198],"conventional":[170],"approaches":[171],"for":[172,192],"predicting":[173],"purchasing":[175],"coming":[179],"period.":[180],"Originality/value":[181],"first":[186],"introduce":[188],"optimum":[190],"approach":[191],"discovering":[193],"considering":[199]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
