{"id":"https://openalex.org/W4394864320","doi":"https://doi.org/10.1145/3650215.3650319","title":"Research and Application of an Improved Apriori Algorithm in Market Basket Data","display_name":"Research and Application of an Improved Apriori Algorithm in Market Basket Data","publication_year":2023,"publication_date":"2023-10-27","ids":{"openalex":"https://openalex.org/W4394864320","doi":"https://doi.org/10.1145/3650215.3650319"},"language":"en","primary_location":{"id":"doi:10.1145/3650215.3650319","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3650215.3650319","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 4th International Conference on Machine Learning and Computer Application","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/A5112851923","display_name":"X F Qiu","orcid":"https://orcid.org/0009-0001-3553-3291"},"institutions":[{"id":"https://openalex.org/I41208885","display_name":"Harbin University of Commerce","ror":"https://ror.org/03zsxkw25","country_code":"CN","type":"education","lineage":["https://openalex.org/I41208885"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xuexian Qiu","raw_affiliation_strings":["School of Computer and Information Engineering, Harbin University of Commerce, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Harbin University of Commerce, China","institution_ids":["https://openalex.org/I41208885"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029750714","display_name":"Shiyong Ning","orcid":null},"institutions":[{"id":"https://openalex.org/I41208885","display_name":"Harbin University of Commerce","ror":"https://ror.org/03zsxkw25","country_code":"CN","type":"education","lineage":["https://openalex.org/I41208885"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiyong Ning","raw_affiliation_strings":["School of Computer and Information Engineering, Harbin University of Commerce, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Harbin University of Commerce, China","institution_ids":["https://openalex.org/I41208885"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102824624","display_name":"Shihui Zhang","orcid":"https://orcid.org/0009-0003-4244-8911"},"institutions":[{"id":"https://openalex.org/I41208885","display_name":"Harbin University of Commerce","ror":"https://ror.org/03zsxkw25","country_code":"CN","type":"education","lineage":["https://openalex.org/I41208885"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shihui Zhang","raw_affiliation_strings":["School of Computer and Information Engineering, Harbin University of Commerce, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Harbin University of Commerce, China","institution_ids":["https://openalex.org/I41208885"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103052898","display_name":"Zhuorui Yang","orcid":"https://orcid.org/0009-0005-2624-2774"},"institutions":[{"id":"https://openalex.org/I41208885","display_name":"Harbin University of Commerce","ror":"https://ror.org/03zsxkw25","country_code":"CN","type":"education","lineage":["https://openalex.org/I41208885"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuorui Yang","raw_affiliation_strings":["School of Computer and Information Engineering, Harbin University of Commerce, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Harbin University of Commerce, China","institution_ids":["https://openalex.org/I41208885"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5112851923"],"corresponding_institution_ids":["https://openalex.org/I41208885"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.38117326,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"586","last_page":"592"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9977999925613403,"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":0.9977999925613403,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9599000215530396,"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"}},{"id":"https://openalex.org/T11891","display_name":"Big Data and Business Intelligence","score":0.9426000118255615,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"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/apriori-algorithm","display_name":"Apriori algorithm","score":0.9371618032455444},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.8851496577262878},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7530343532562256},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.7419121861457825},{"id":"https://openalex.org/keywords/affinity-analysis","display_name":"Affinity analysis","score":0.7040566205978394},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.6492893695831299},{"id":"https://openalex.org/keywords/gsp-algorithm","display_name":"GSP Algorithm","score":0.5745304226875305},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5426971316337585},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5057992935180664},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4616602063179016},{"id":"https://openalex.org/keywords/efficient-algorithm","display_name":"Efficient algorithm","score":0.442584753036499},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4327927529811859},{"id":"https://openalex.org/keywords/algorithm-design","display_name":"Algorithm design","score":0.4103618562221527},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35012513399124146},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1185494065284729}],"concepts":[{"id":"https://openalex.org/C81440476","wikidata":"https://www.wikidata.org/wiki/Q513511","display_name":"Apriori algorithm","level":3,"score":0.9371618032455444},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.8851496577262878},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7530343532562256},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.7419121861457825},{"id":"https://openalex.org/C23906176","wikidata":"https://www.wikidata.org/wiki/Q727515","display_name":"Affinity analysis","level":3,"score":0.7040566205978394},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.6492893695831299},{"id":"https://openalex.org/C87146676","wikidata":"https://www.wikidata.org/wiki/Q5514602","display_name":"GSP Algorithm","level":4,"score":0.5745304226875305},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5426971316337585},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5057992935180664},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4616602063179016},{"id":"https://openalex.org/C3018263672","wikidata":"https://www.wikidata.org/wiki/Q1296251","display_name":"Efficient algorithm","level":2,"score":0.442584753036499},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4327927529811859},{"id":"https://openalex.org/C106516650","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm design","level":2,"score":0.4103618562221527},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35012513399124146},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1185494065284729},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3650215.3650319","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3650215.3650319","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 4th International Conference on Machine Learning and Computer Application","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.46000000834465027,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1937395983","https://openalex.org/W2083861420","https://openalex.org/W2088123121","https://openalex.org/W2765714237","https://openalex.org/W2788257325","https://openalex.org/W2911560165","https://openalex.org/W2944378613","https://openalex.org/W2963124956","https://openalex.org/W2966915362","https://openalex.org/W2972960428","https://openalex.org/W2991445070","https://openalex.org/W3011579359","https://openalex.org/W3013103502","https://openalex.org/W3017101095","https://openalex.org/W3029936909","https://openalex.org/W3154590936","https://openalex.org/W3158521458","https://openalex.org/W3176126815","https://openalex.org/W4213307675","https://openalex.org/W4293686150"],"related_works":["https://openalex.org/W2587896742","https://openalex.org/W4200222668","https://openalex.org/W1998540199","https://openalex.org/W1964969479","https://openalex.org/W2376949134","https://openalex.org/W4392860801","https://openalex.org/W994275144","https://openalex.org/W2532722555","https://openalex.org/W2368974936","https://openalex.org/W4249181092"],"abstract_inverted_index":{"In":[0,60],"data":[1],"mining,":[2],"association":[3,26,66],"rule":[4,27,67,105],"mining":[5,28,68,106],"has":[6,31],"been":[7,32],"proven":[8],"to":[9,38],"be":[10],"a":[11,91],"valuable":[12],"strategy.":[13],"The":[14],"Apriori":[15,84,94,133],"algorithm,":[16],"proposed":[17],"in":[18,35,70,86],"1993,":[19],"is":[20,128],"one":[21],"of":[22,47,54,81,104,117],"the":[23,41,48,51,55,65,76,82,99,115,131],"most":[24],"classic":[25],"algorithms":[29],"and":[30,78,89,101,110,124,138],"widely":[33],"used":[34],"various":[36],"domains":[37],"date.":[39],"However,":[40],"algorithm":[42,56,85,97,134],"itself":[43],"requires":[44],"multiple":[45],"scans":[46],"dataset,":[49],"making":[50],"efficiency":[52,77,103],"improvement":[53],"an":[57],"important":[58],"topic.":[59],"this":[61,87],"study,":[62],"focusing":[63],"on":[64],"problem":[69],"shopping":[71,118],"basket":[72,119],"datasets,":[73],"we":[74],"address":[75],"accuracy":[79,100,137],"issues":[80],"traditional":[83],"domain":[88],"propose":[90],"novel":[92],"improved":[93,132],"algorithm.":[95],"This":[96],"enhances":[98],"time":[102,139],"by":[107],"introducing":[108],"deletion":[109],"identification":[111],"modules":[112],"that":[113,130],"exploit":[114],"characteristics":[116],"datasets.":[120],"Through":[121],"mathematical":[122],"reasoning":[123],"experimental":[125],"validation,":[126],"it":[127],"demonstrated":[129],"achieves":[135],"higher":[136],"efficiency,":[140],"thus":[141],"proving":[142],"its":[143],"superior":[144]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
