{"id":"https://openalex.org/W3016673788","doi":"https://doi.org/10.1145/3384473","title":"Mining the Local Dependency Itemset in a Products Network","display_name":"Mining the Local Dependency Itemset in a Products Network","publication_year":2020,"publication_date":"2020-03-31","ids":{"openalex":"https://openalex.org/W3016673788","doi":"https://doi.org/10.1145/3384473","mag":"3016673788"},"language":"en","primary_location":{"id":"doi:10.1145/3384473","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3384473","pdf_url":null,"source":{"id":"https://openalex.org/S4210170305","display_name":"ACM Transactions on Management Information Systems","issn_l":"2158-656X","issn":["2158-656X","2158-6578"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Management Information Systems","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/A5100646551","display_name":"Ni Li","orcid":"https://orcid.org/0000-0003-0178-3839"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Li Ni","raw_affiliation_strings":["University of Science and Technology of China, Anhui, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001184471","display_name":"Wenjian Luo","orcid":"https://orcid.org/0000-0002-8357-1655"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjian Luo","raw_affiliation_strings":["University of Science and Technology of China, Anhui, China"],"raw_orcid":"https://orcid.org/0000-0002-8357-1655","affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016628386","display_name":"Nannan Lu","orcid":"https://orcid.org/0000-0003-0905-8199"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nannan Lu","raw_affiliation_strings":["University of Science and Technology of China, Anhui, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038915032","display_name":"Wenjie Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjie Zhu","raw_affiliation_strings":["University of Science and Technology of China, Anhui, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100646551"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":2.2277,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.90486615,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"11","issue":"1","first_page":"1","last_page":"31"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9987000226974487,"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":0.9987000226974487,"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/T12399","display_name":"Wine Industry and Tourism","score":0.9401000142097473,"subfield":{"id":"https://openalex.org/subfields/1409","display_name":"Tourism, Leisure and Hospitality Management"},"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":0.9156000018119812,"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/dependency","display_name":"Dependency (UML)","score":0.9066891670227051},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6822353601455688},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5789524912834167},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.5165590047836304},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5078421235084534},{"id":"https://openalex.org/keywords/dependency-theory","display_name":"Dependency theory (database theory)","score":0.45273110270500183},{"id":"https://openalex.org/keywords/functional-dependency","display_name":"Functional dependency","score":0.36256644129753113},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21129822731018066},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.19755145907402039}],"concepts":[{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.9066891670227051},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6822353601455688},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5789524912834167},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.5165590047836304},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5078421235084534},{"id":"https://openalex.org/C40683218","wikidata":"https://www.wikidata.org/wiki/Q5260625","display_name":"Dependency theory (database theory)","level":4,"score":0.45273110270500183},{"id":"https://openalex.org/C26320393","wikidata":"https://www.wikidata.org/wiki/Q597053","display_name":"Functional dependency","level":3,"score":0.36256644129753113},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21129822731018066},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.19755145907402039},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3384473","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3384473","pdf_url":null,"source":{"id":"https://openalex.org/S4210170305","display_name":"ACM Transactions on Management Information Systems","issn_l":"2158-656X","issn":["2158-656X","2158-6578"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Management Information Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5536710450","display_name":null,"funder_award_id":"1408085MKL07","funder_id":"https://openalex.org/F4320334897","funder_display_name":"Natural Science Foundation of Anhui Province"}],"funders":[{"id":"https://openalex.org/F4320334897","display_name":"Natural Science Foundation of Anhui Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W78245881","https://openalex.org/W1511277043","https://openalex.org/W1728974518","https://openalex.org/W1929801863","https://openalex.org/W1979405397","https://openalex.org/W1992119405","https://openalex.org/W1992923616","https://openalex.org/W2008396339","https://openalex.org/W2018977290","https://openalex.org/W2026562765","https://openalex.org/W2049785083","https://openalex.org/W2067102178","https://openalex.org/W2073277016","https://openalex.org/W2085638007","https://openalex.org/W2095072199","https://openalex.org/W2095293504","https://openalex.org/W2098318741","https://openalex.org/W2102297485","https://openalex.org/W2104983592","https://openalex.org/W2131681506","https://openalex.org/W2149474501","https://openalex.org/W2150433972","https://openalex.org/W2161637667","https://openalex.org/W2210278139","https://openalex.org/W2254242365","https://openalex.org/W2313140552","https://openalex.org/W2496752087","https://openalex.org/W2514829721","https://openalex.org/W2518732252","https://openalex.org/W2523204442","https://openalex.org/W2596993382","https://openalex.org/W2604029285","https://openalex.org/W2613379186","https://openalex.org/W2613478770","https://openalex.org/W2724859488","https://openalex.org/W2733906184","https://openalex.org/W2777804614","https://openalex.org/W2790530433","https://openalex.org/W2794065344","https://openalex.org/W2806162091","https://openalex.org/W3099768174","https://openalex.org/W3126029260","https://openalex.org/W4210639730","https://openalex.org/W4250802407","https://openalex.org/W4252403066","https://openalex.org/W4300553627"],"related_works":["https://openalex.org/W2072918301","https://openalex.org/W2392606101","https://openalex.org/W2133756937","https://openalex.org/W3162070149","https://openalex.org/W2489943546","https://openalex.org/W2362842011","https://openalex.org/W1845544376","https://openalex.org/W59130053","https://openalex.org/W2048090520","https://openalex.org/W1839867872"],"abstract_inverted_index":{"Many":[0],"studies":[1,17],"have":[2],"been":[3,41],"conducted":[4],"on":[5,20],"market":[6,64],"basket":[7,65],"analysis":[8],"such":[9],"as":[10],"association":[11],"rules":[12],"and":[13,149],"dependent":[14],"patterns.":[15],"These":[16],"mainly":[18],"focus":[19],"mining":[21,100],"all":[22],"significant":[23],"patterns":[24,26,47,90],"or":[25],"directly":[27],"associated":[28,48,91],"with":[29,49,92],"a":[30,34,50,77,97,150],"given":[31,51,94,129],"item":[32,52],"in":[33,73],"dataset.":[35],"The":[36,107,156],"problem":[37,58],"that":[38,123,160],"has":[39,109],"not":[40],"addressed":[42],"is":[43,67,84,105,117,133,142,165],"how":[44],"to":[45,89],"mine":[46],"from":[53],"the":[54,63,93,101,119,128,131,135,161],"local":[55,102,120,136,152,162],"view.":[56],"This":[57],"becomes":[59],"very":[60],"meaningful":[61],"when":[62],"dataset":[66],"huge.":[68],"To":[69],"address":[70],"this":[71,74,140],"problem,":[72],"study,":[75],"first,":[76],"new":[78],"idea":[79],"called":[80],"\u201clocal":[81],"dependency":[82,103,121,163],"itemset\u201d":[83],"put":[85],"forward,":[86],"which":[87,112],"refers":[88],"item.":[95],"Second,":[96],"framework":[98,108,141],"of":[99,126],"itemset":[104,122,164],"presented.":[106],"two":[110],"steps,":[111],"are":[113],"executed":[114],"iteratively.":[115],"One":[116],"expanding":[118],"initially":[124],"consists":[125],"only":[127],"item;":[130],"other":[132],"updating":[134],"products":[137],"network.":[138],"Third,":[139],"implemented":[143],"by":[144],"three":[145],"different":[146],"dependence":[147],"indicators":[148],"typical":[151],"community":[153],"detection":[154],"algorithm.":[155],"experimental":[157],"results":[158],"confirm":[159],"meaningful.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
