{"id":"https://openalex.org/W2994384010","doi":"https://doi.org/10.1109/idaacs.2019.8924290","title":"An Improved Association Rule Mining Algorithm Based on Ant Lion Optimizer Algorithm and FP-Growth","display_name":"An Improved Association Rule Mining Algorithm Based on Ant Lion Optimizer Algorithm and FP-Growth","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2994384010","doi":"https://doi.org/10.1109/idaacs.2019.8924290","mag":"2994384010"},"language":"en","primary_location":{"id":"doi:10.1109/idaacs.2019.8924290","is_oa":false,"landing_page_url":"https://doi.org/10.1109/idaacs.2019.8924290","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)","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/A5054819289","display_name":"Dawei Dong","orcid":"https://orcid.org/0000-0002-0112-6233"},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dawei Dong","raw_affiliation_strings":["School of Computer Science, Hubei University of Technology,China","School of Computer Science, Hubei University of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology,China","institution_ids":["https://openalex.org/I74525822"]},{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology, China","institution_ids":["https://openalex.org/I74525822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100670242","display_name":"Zhiwei Ye","orcid":"https://orcid.org/0000-0001-6668-4634"},"institutions":[{"id":"https://openalex.org/I4210142539","display_name":"Guangdong Institute of Intelligent Manufacturing","ror":"https://ror.org/049jpjz09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210142539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwei Ye","raw_affiliation_strings":["Fujian Provincial Big Data Research Institute of Intelligent Manufacturing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujian Provincial Big Data Research Institute of Intelligent Manufacturing","institution_ids":["https://openalex.org/I4210142539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066499031","display_name":"Yu Cao","orcid":"https://orcid.org/0000-0002-3486-5518"},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Cao","raw_affiliation_strings":["School of Computer Science, Hubei University of Technology,China","School of Computer Science, Hubei University of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology,China","institution_ids":["https://openalex.org/I74525822"]},{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology, China","institution_ids":["https://openalex.org/I74525822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027891651","display_name":"Shiwei Xie","orcid":"https://orcid.org/0000-0002-9822-8470"},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiwei Xie","raw_affiliation_strings":["School of Computer Science, Hubei University of Technology,China","School of Computer Science, Hubei University of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology,China","institution_ids":["https://openalex.org/I74525822"]},{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology, China","institution_ids":["https://openalex.org/I74525822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036805467","display_name":"Fengwen Wang","orcid":"https://orcid.org/0000-0002-0565-1465"},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengwen Wang","raw_affiliation_strings":["School of Computer Science, Hubei University of Technology,China","School of Computer Science, Hubei University of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology,China","institution_ids":["https://openalex.org/I74525822"]},{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology, China","institution_ids":["https://openalex.org/I74525822"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081081539","display_name":"Ming Wei","orcid":"https://orcid.org/0000-0002-7894-5843"},"institutions":[{"id":"https://openalex.org/I4210155232","display_name":"Fiberhome Technology Group (China)","ror":"https://ror.org/04yv20134","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210155232"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Ming","raw_affiliation_strings":["Wuhan Fiberhome Technical Services Co., Ltd.,Wuhan,Hubei,China,430074","Wuhan Fiberhome Technical Services Co., Ltd., Wuhan, Hubei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan Fiberhome Technical Services Co., Ltd.,Wuhan,Hubei,China,430074","institution_ids":["https://openalex.org/I4210155232"]},{"raw_affiliation_string":"Wuhan Fiberhome Technical Services Co., Ltd., Wuhan, Hubei, China","institution_ids":["https://openalex.org/I4210155232"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.174,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.93320981,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"458","last_page":"463"},"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.991599977016449,"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/T12391","display_name":"Artificial Immune Systems Applications","score":0.9577999711036682,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.7517381906509399},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6834762096405029},{"id":"https://openalex.org/keywords/ant-colony-optimization-algorithms","display_name":"Ant colony optimization algorithms","score":0.6338581442832947},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.5844990611076355},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.5613629817962646},{"id":"https://openalex.org/keywords/population-based-incremental-learning","display_name":"Population-based incremental learning","score":0.4836072027683258},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.46138718724250793},{"id":"https://openalex.org/keywords/algorithm-design","display_name":"Algorithm design","score":0.4326234757900238},{"id":"https://openalex.org/keywords/swarm-intelligence","display_name":"Swarm intelligence","score":0.4177474081516266},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3442938029766083},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2867526710033417},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.20262539386749268}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.7517381906509399},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6834762096405029},{"id":"https://openalex.org/C40128228","wikidata":"https://www.wikidata.org/wiki/Q460851","display_name":"Ant colony optimization algorithms","level":2,"score":0.6338581442832947},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.5844990611076355},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.5613629817962646},{"id":"https://openalex.org/C184497298","wikidata":"https://www.wikidata.org/wiki/Q7229773","display_name":"Population-based incremental learning","level":3,"score":0.4836072027683258},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.46138718724250793},{"id":"https://openalex.org/C106516650","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm design","level":2,"score":0.4326234757900238},{"id":"https://openalex.org/C119487961","wikidata":"https://www.wikidata.org/wiki/Q863960","display_name":"Swarm intelligence","level":3,"score":0.4177474081516266},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3442938029766083},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2867526710033417},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.20262539386749268},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/idaacs.2019.8924290","is_oa":false,"landing_page_url":"https://doi.org/10.1109/idaacs.2019.8924290","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)","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":20,"referenced_works":["https://openalex.org/W208128215","https://openalex.org/W1571311741","https://openalex.org/W1968378941","https://openalex.org/W1995034097","https://openalex.org/W2001979953","https://openalex.org/W2019001660","https://openalex.org/W2037693214","https://openalex.org/W2042020602","https://openalex.org/W2086487343","https://openalex.org/W2109996221","https://openalex.org/W2136078606","https://openalex.org/W2166097975","https://openalex.org/W2166559705","https://openalex.org/W2288902363","https://openalex.org/W2296662953","https://openalex.org/W2481453975","https://openalex.org/W2751228832","https://openalex.org/W2770605926","https://openalex.org/W4300799456","https://openalex.org/W6721689985"],"related_works":["https://openalex.org/W2363465025","https://openalex.org/W2347969533","https://openalex.org/W2394153495","https://openalex.org/W2388217074","https://openalex.org/W2612694818","https://openalex.org/W2155027171","https://openalex.org/W2016475942","https://openalex.org/W2349786890","https://openalex.org/W2027135900","https://openalex.org/W4380486248"],"abstract_inverted_index":{"Discovering":[0],"knowledge":[1],"from":[2],"the":[3,12,23,32,57,77,92,106,136,149,177,182,186,195,221,224],"amount":[4],"of":[5,14,22,108,172,176,184,197,223],"data":[6,16],"plays":[7],"an":[8],"important":[9],"role":[10],"in":[11,91,166],"era":[13],"big":[15],"and":[17,81,104,113,132,161,180,207],"FP-Growth":[18,33,79,178],"algorithm":[19,34,70,80,97,143,179],"is":[20,87,144],"one":[21],"most":[24],"successful":[25],"methods":[26],"for":[27,45],"learning":[28],"association":[29,140],"rules.":[30],"Though":[31],"only":[35],"needs":[36],"scan":[37],"two":[38],"times,":[39],"it":[40],"has":[41,163],"a":[42,138],"poor":[43],"efficiency":[44],"large":[46],"datasets.":[47],"There":[48],"are":[49,204,210],"already":[50],"efforts":[51],"have":[52],"been":[53,164],"made":[54],"to":[55,89,120,193],"solve":[56],"problem":[58],"by":[59],"using":[60],"some":[61,213],"Meta-heuristic":[62],"optimization":[63,69,152,187],"algorithms,":[64,217],"such":[65],"as":[66],"particle":[67],"swarm":[68],"(PSO),":[71],"immune":[72],"algorithms":[73],"etc,":[74],"which":[75,117,169],"outperform":[76],"traditional":[78],"shows":[82],"strong":[83],"performance.":[84],"However,":[85],"PSO":[86],"easy":[88],"trap":[90],"local":[93],"optimums.":[94],"A":[95,154],"novel":[96,139],"ant":[98,150],"lion":[99,151],"optimizer":[100],"(ALO)":[101],"was":[102,118],"proposed":[103,225],"with":[105,212],"advantages":[107],"global":[109],"optimization,":[110],"good":[111],"robustness,":[112],"high":[114],"convergence":[115],"accuracy,":[116],"applied":[119],"many":[121],"engineering":[122],"fields":[123],"like":[124],"antenna":[125],"array":[126],"synthesis,":[127],"integrated":[128],"process":[129],"planning,":[130],"scheduling":[131],"so":[133],"on.":[134],"In":[135,191],"paper,":[137],"rule":[141],"extraction":[142],"put":[145],"forward":[146],"based":[147,158],"on":[148,159,201],"algorithm.":[153],"new":[155],"fitness":[156],"schema":[157],"confidence":[160],"support":[162],"used":[165],"this":[167],"approach,":[168,199],"avoids":[170],"part":[171],"unnecessary":[173],"searching":[174,185],"processes":[175],"leads":[181],"method":[183],"solution":[188],"more":[189],"effectively.":[190],"order":[192],"evaluate":[194],"effectiveness":[196],"our":[198],"experiments":[200],"various":[202],"datasets":[203],"carried":[205],"out":[206],"experimental":[208,218],"results":[209,219],"compared":[211],"other":[214],"classical":[215],"meta-heuristic":[216],"testify":[220],"performance":[222],"method.":[226]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}