{"id":"https://openalex.org/W2737255252","doi":"https://doi.org/10.1093/comjnl/bxx067","title":"An Efficient Framework for Mining Association Rules in the Distributed Databases","display_name":"An Efficient Framework for Mining Association Rules in the Distributed Databases","publication_year":2017,"publication_date":"2017-06-24","ids":{"openalex":"https://openalex.org/W2737255252","doi":"https://doi.org/10.1093/comjnl/bxx067","mag":"2737255252"},"language":"en","primary_location":{"id":"doi:10.1093/comjnl/bxx067","is_oa":false,"landing_page_url":"https://doi.org/10.1093/comjnl/bxx067","pdf_url":null,"source":{"id":"https://openalex.org/S44643521","display_name":"The Computer Journal","issn_l":"0010-4620","issn":["0010-4620","1460-2067"],"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":"The Computer Journal","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/A5057237492","display_name":"Lalit Mohan Goyal","orcid":"https://orcid.org/0000-0003-4618-0281"},"institutions":[{"id":"https://openalex.org/I887998513","display_name":"Bharati Vidyapeeth Deemed University","ror":"https://ror.org/0052mmx10","country_code":"IN","type":"education","lineage":["https://openalex.org/I887998513"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Lalit Mohan Goyal","raw_affiliation_strings":["Computer Science and Engineering, Bharati Vidyapeeth\u2019s College of Engineering, New Delhi, India"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, Bharati Vidyapeeth\u2019s College of Engineering, New Delhi, India","institution_ids":["https://openalex.org/I887998513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055656153","display_name":"M. M. Sufyan Beg","orcid":"https://orcid.org/0000-0002-7639-139X"},"institutions":[{"id":"https://openalex.org/I171210897","display_name":"Aligarh Muslim University","ror":"https://ror.org/03kw9gc02","country_code":"IN","type":"education","lineage":["https://openalex.org/I171210897"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"M M Sufyan Beg","raw_affiliation_strings":["Computer Engineering, Aligarh Muslim University, Faculty of Engineering and Technology, Aligarh, India"],"affiliations":[{"raw_affiliation_string":"Computer Engineering, Aligarh Muslim University, Faculty of Engineering and Technology, Aligarh, India","institution_ids":["https://openalex.org/I171210897"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028290404","display_name":"Tanvir Ahmad","orcid":"https://orcid.org/0000-0003-0204-3541"},"institutions":[{"id":"https://openalex.org/I59475050","display_name":"Jamia Millia Islamia","ror":"https://ror.org/00pnhhv55","country_code":"IN","type":"education","lineage":["https://openalex.org/I59475050"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Tanvir Ahmad","raw_affiliation_strings":["Computer Engineering, Jamia Millia Islamia, New Delhi, India"],"affiliations":[{"raw_affiliation_string":"Computer Engineering, Jamia Millia Islamia, New Delhi, India","institution_ids":["https://openalex.org/I59475050"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5057237492"],"corresponding_institution_ids":["https://openalex.org/I887998513"],"apc_list":{"value":2635,"currency":"GBP","value_usd":3232},"apc_paid":null,"fwci":2.9018,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.92587411,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"61","issue":"5","first_page":"645","last_page":"657"},"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":0.9987999796867371,"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/T11106","display_name":"Data Management and Algorithms","score":0.988099992275238,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.820293664932251},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7441900372505188},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.6780856847763062},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5421351790428162},{"id":"https://openalex.org/keywords/distributed-database","display_name":"Distributed database","score":0.5157390236854553},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.4773148000240326},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.37077170610427856}],"concepts":[{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.820293664932251},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7441900372505188},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.6780856847763062},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5421351790428162},{"id":"https://openalex.org/C70061542","wikidata":"https://www.wikidata.org/wiki/Q989016","display_name":"Distributed database","level":2,"score":0.5157390236854553},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.4773148000240326},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.37077170610427856},{"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:10.1093/comjnl/bxx067","is_oa":false,"landing_page_url":"https://doi.org/10.1093/comjnl/bxx067","pdf_url":null,"source":{"id":"https://openalex.org/S44643521","display_name":"The Computer Journal","issn_l":"0010-4620","issn":["0010-4620","1460-2067"],"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":"The Computer Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2086415933","https://openalex.org/W2093456341","https://openalex.org/W2099404336","https://openalex.org/W2104983592"],"related_works":["https://openalex.org/W2347219288","https://openalex.org/W1969663039","https://openalex.org/W2383003961","https://openalex.org/W2348097614","https://openalex.org/W2062234344","https://openalex.org/W1996525798","https://openalex.org/W2408152870","https://openalex.org/W2335877035","https://openalex.org/W2342375268","https://openalex.org/W2352422906"],"abstract_inverted_index":{"While":[0],"mining":[1,145],"the":[2,31,36,52,57,73,89,93,105,110,115,124,130,149,153,168],"association":[3,146],"rules":[4,147],"in":[5,72,104,109,148],"distributed":[6,150],"database,":[7],"overhead":[8,157],"increases":[9],"at":[10],"each":[11,159],"site":[12,22,160,175,184],"because":[13],"of":[14,88,114,123,158,182],"linkage":[15],"and":[16,42,50,71,81,138,163],"dependency":[17],"with":[18],"other":[19],"sites.":[20,131],"Each":[21],"scans":[23],"database":[24],"not":[25,102,178],"only":[26],"for":[27,30,144,161,167],"itself":[28],"but":[29,126],"neighboring":[32,82,169,183],"sites":[33,48,60,76,83,125,170],"also.":[34],"In":[35,56,132,152],"most":[37],"popular":[38],"Count":[39],"Distribution":[40],"(CD)":[41],"Fast":[43],"Distributed":[44],"Mining":[45],"(FDM)":[46],"algorithms,":[47],"generate":[49,61,77],"scan":[51,179],"identical":[53],"candidate":[54,62,165,180],"itemsets.":[55],"CD":[58,94],"algorithm,":[59,75,112],"k":[63,189],"+":[64,190],"1":[65,191],"itemsets":[66,90,100,116,166,192],"using":[67,78],"global":[68],"frequent":[69,85,120],"k-itemsets":[70],"FDM":[74,106,111],"its":[79,188],"own":[80],"heavy":[84],"k-itemsets.":[86],"Most":[87],"scanned":[91,103,127],"by":[92],"algorithm":[95,140],"are":[96,101,193],"infrequent.":[97],"These":[98],"infrequent":[99],"algorithm.":[107],"Anyhow,":[108],"some":[113],"may":[117],"be":[118],"found":[119],"on":[121,128],"neither":[122],"all":[129],"this":[133],"paper,":[134],"an":[135,139],"efficient":[136],"framework":[137],"have":[141],"been":[142],"proposed":[143,154],"database.":[151],"framework,":[155],"initially,":[156],"generating":[162],"scanning":[164],"is":[171],"reduced.":[172],"Later,":[173],"a":[174],"either":[176],"does":[177],"k-itemset":[181],"or":[185],"postpone":[186],"till":[187],"scanned.":[194]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
