{"id":"https://openalex.org/W2131832145","doi":"https://doi.org/10.1109/fskd.2009.88","title":"Research on Transaction-Item Association Matrix Mining Algorithm in Large-scale Transaction Database","display_name":"Research on Transaction-Item Association Matrix Mining Algorithm in Large-scale Transaction Database","publication_year":2009,"publication_date":"2009-01-01","ids":{"openalex":"https://openalex.org/W2131832145","doi":"https://doi.org/10.1109/fskd.2009.88","mag":"2131832145"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2009.88","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2009.88","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery","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/A5109143244","display_name":"Chengmin Wang","orcid":"https://orcid.org/0009-0002-2842-932X"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chengmin Wang","raw_affiliation_strings":["Department of Electrical Engineering, Shanghai Jiaotong University, Shanghai, China","Department of Electrical Engineering, Shanghai Jiaotong University, Shanghai, Shanghai, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Shanghai Jiaotong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Department of Electrical Engineering, Shanghai Jiaotong University, Shanghai, Shanghai, China#TAB#","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081295439","display_name":"Weiqing Sun","orcid":"https://orcid.org/0000-0003-4666-397X"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiqing Sun","raw_affiliation_strings":["Department of Electrical Engineering, Shanghai Jiaotong University, Shanghai, China","Department of Electrical Engineering, Shanghai Jiaotong University, Shanghai, Shanghai, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Shanghai Jiaotong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Department of Electrical Engineering, Shanghai Jiaotong University, Shanghai, Shanghai, China#TAB#","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032213844","display_name":"Tieyan Zhang","orcid":"https://orcid.org/0000-0001-9192-8987"},"institutions":[{"id":"https://openalex.org/I108904480","display_name":"Shenyang Institute of Engineering","ror":"https://ror.org/02pfsj857","country_code":"CN","type":"education","lineage":["https://openalex.org/I108904480"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tieyan Zhang","raw_affiliation_strings":["Shenyang Institute of Engineering, Shenyang, Liaoning, China","Shenyang Institute of Engineering Shenyang, Liaoning, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Shenyang Institute of Engineering, Shenyang, Liaoning, China","institution_ids":["https://openalex.org/I108904480"]},{"raw_affiliation_string":"Shenyang Institute of Engineering Shenyang, Liaoning, China#TAB#","institution_ids":["https://openalex.org/I108904480"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030335492","display_name":"Yan Zhang","orcid":"https://orcid.org/0000-0001-5738-9537"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Zhang","raw_affiliation_strings":["Department of Electrical Engineering, Shanghai Jiaotong University, Shanghai, China","Department of Electrical Engineering, Shanghai Jiaotong University, Shanghai, Shanghai, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Shanghai Jiaotong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Department of Electrical Engineering, Shanghai Jiaotong University, Shanghai, Shanghai, China#TAB#","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5109143244"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.16191378,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"113","last_page":"117"},"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":0.996399998664856,"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/T12384","display_name":"Customer churn and segmentation","score":0.9567000269889832,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.8998268842697144},{"id":"https://openalex.org/keywords/apriori-algorithm","display_name":"Apriori algorithm","score":0.854781448841095},{"id":"https://openalex.org/keywords/database-transaction","display_name":"Database transaction","score":0.7657968997955322},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.7385851144790649},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7169398665428162},{"id":"https://openalex.org/keywords/transaction-data","display_name":"Transaction data","score":0.6144123077392578},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.5659468173980713},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.493706077337265},{"id":"https://openalex.org/keywords/affinity-analysis","display_name":"Affinity analysis","score":0.47555798292160034},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.47314536571502686},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4490092098712921},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44651004672050476},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.4464888274669647},{"id":"https://openalex.org/keywords/gsp-algorithm","display_name":"GSP Algorithm","score":0.43017470836639404},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.42777764797210693},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.39237526059150696},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16422748565673828}],"concepts":[{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.8998268842697144},{"id":"https://openalex.org/C81440476","wikidata":"https://www.wikidata.org/wiki/Q513511","display_name":"Apriori algorithm","level":3,"score":0.854781448841095},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.7657968997955322},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.7385851144790649},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7169398665428162},{"id":"https://openalex.org/C127722929","wikidata":"https://www.wikidata.org/wiki/Q7833714","display_name":"Transaction data","level":3,"score":0.6144123077392578},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.5659468173980713},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.493706077337265},{"id":"https://openalex.org/C23906176","wikidata":"https://www.wikidata.org/wiki/Q727515","display_name":"Affinity analysis","level":3,"score":0.47555798292160034},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.47314536571502686},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4490092098712921},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44651004672050476},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.4464888274669647},{"id":"https://openalex.org/C87146676","wikidata":"https://www.wikidata.org/wiki/Q5514602","display_name":"GSP Algorithm","level":4,"score":0.43017470836639404},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.42777764797210693},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.39237526059150696},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16422748565673828},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2009.88","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2009.88","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W195718486","https://openalex.org/W208128215","https://openalex.org/W1506285740","https://openalex.org/W1520890006","https://openalex.org/W1578959085","https://openalex.org/W1597161471","https://openalex.org/W2000473687","https://openalex.org/W2114624736","https://openalex.org/W2140190241","https://openalex.org/W2166559705","https://openalex.org/W2379964717","https://openalex.org/W2997167919","https://openalex.org/W3039539181","https://openalex.org/W4285719527","https://openalex.org/W6607931780","https://openalex.org/W6780396083"],"related_works":["https://openalex.org/W3036124657","https://openalex.org/W4308793916","https://openalex.org/W3152772428","https://openalex.org/W2587896742","https://openalex.org/W1998540199","https://openalex.org/W3014936414","https://openalex.org/W2376949134","https://openalex.org/W994275144","https://openalex.org/W4200222668","https://openalex.org/W4392860801"],"abstract_inverted_index":{"To":[0,80],"increase":[1],"the":[2,8,17,26,38,54,58,63,71,90,98,118],"efficiency":[3,64],"of":[4,19,28,40,56,65,73,83,92,100,104,121],"data":[5,41],"mining":[6,31,42,68,124],"is":[7],"research":[9],"emphasis":[10],"in":[11,70,97,111],"this":[12,23,51,112],"field":[13],"at":[14],"present.":[15],"Through":[16],"establishment":[18],"transaction-item":[20,107],"association":[21,29,66,93,108,122],"matrix,":[22,85],"paper":[24,113],"changes":[25],"process":[27,39],"rule":[30,67,94,123],"to":[32],"elementary":[33],"matrix":[34,109],"operation,":[35],"which":[36],"makes":[37],"clear":[43],"and":[44,61],"simple.":[45],"Compared":[46],"with":[47],"algorithms":[48],"like":[49],"Apriori,":[50],"method":[52],"avoids":[53],"demerit":[55],"traversing":[57],"database":[59],"repetitiously,":[60],"increases":[62],"obviously":[69],"use":[72,99],"sparse":[74],"storage":[75],"technique":[76,103],"for":[77],"large-scale":[78],"matrix.":[79,105],"incremental":[81],"type":[82],"transaction":[84],"it":[86],"can":[87,114],"also":[88],"make":[89],"maintainment":[91],"more":[95],"convenient":[96],"partitioning":[101],"calculation":[102],"The":[106],"proposed":[110],"be":[115],"seemed":[116],"as":[117],"mathematical":[119],"foundation":[120],"algorithm.":[125]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}