{"id":"https://openalex.org/W3126422786","doi":"https://doi.org/10.1109/bibm49941.2020.9313135","title":"Research on the synergy law of Pinellia tuber and Golden thread by improved association rule algorithm","display_name":"Research on the synergy law of Pinellia tuber and Golden thread by improved association rule algorithm","publication_year":2020,"publication_date":"2020-12-16","ids":{"openalex":"https://openalex.org/W3126422786","doi":"https://doi.org/10.1109/bibm49941.2020.9313135","mag":"3126422786"},"language":"en","primary_location":{"id":"doi:10.1109/bibm49941.2020.9313135","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm49941.2020.9313135","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5087705815","display_name":"Yating Yin","orcid":"https://orcid.org/0000-0001-9840-0536"},"institutions":[{"id":"https://openalex.org/I4210141683","display_name":"China Academy of Chinese Medical Sciences","ror":"https://ror.org/042pgcv68","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210141683"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yating Yin","raw_affiliation_strings":["China Academy of Chinese Medical Science, Institute of Information on Traditional Chinese Medicine, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Academy of Chinese Medical Science, Institute of Information on Traditional Chinese Medicine, Beijing, China","institution_ids":["https://openalex.org/I4210141683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100663794","display_name":"Zhongyi Wang","orcid":"https://orcid.org/0000-0002-5609-8954"},"institutions":[{"id":"https://openalex.org/I4210155511","display_name":"First Affiliated Hospital of Henan University","ror":"https://ror.org/0536rsk67","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210155511"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongyi Wang","raw_affiliation_strings":["Information Office, Henan University of Chinese Medicine, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Office, Henan University of Chinese Medicine, Zhengzhou, China","institution_ids":["https://openalex.org/I4210155511"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103236480","display_name":"Zhenying Zhao","orcid":"https://orcid.org/0000-0002-4856-2622"},"institutions":[{"id":"https://openalex.org/I4210155511","display_name":"First Affiliated Hospital of Henan University","ror":"https://ror.org/0536rsk67","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210155511"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenying Zhao","raw_affiliation_strings":["Information Office, Henan University of Chinese Medicine, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Office, Henan University of Chinese Medicine, Zhengzhou, China","institution_ids":["https://openalex.org/I4210155511"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100456641","display_name":"Jialin Liu","orcid":"https://orcid.org/0000-0002-3320-4566"},"institutions":[{"id":"https://openalex.org/I4210155511","display_name":"First Affiliated Hospital of Henan University","ror":"https://ror.org/0536rsk67","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210155511"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jialin Liu","raw_affiliation_strings":["Information Office, Henan University of Chinese Medicine, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Office, Henan University of Chinese Medicine, Zhengzhou, China","institution_ids":["https://openalex.org/I4210155511"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086447766","display_name":"Ningjing Wei","orcid":"https://orcid.org/0000-0001-6928-138X"},"institutions":[{"id":"https://openalex.org/I4210155511","display_name":"First Affiliated Hospital of Henan University","ror":"https://ror.org/0536rsk67","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210155511"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ningjing Wei","raw_affiliation_strings":["Information Office, Henan University of Chinese Medicine, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Office, Henan University of Chinese Medicine, Zhengzhou, China","institution_ids":["https://openalex.org/I4210155511"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089711319","display_name":"Guozheng Li","orcid":"https://orcid.org/0000-0001-5568-0347"},"institutions":[{"id":"https://openalex.org/I4210155511","display_name":"First Affiliated Hospital of Henan University","ror":"https://ror.org/0536rsk67","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210155511"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guo-Zheng Li","raw_affiliation_strings":["Information Office, Henan University of Chinese Medicine, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Office, Henan University of Chinese Medicine, Zhengzhou, China","institution_ids":["https://openalex.org/I4210155511"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103126379","display_name":"Qing Gao","orcid":"https://orcid.org/0000-0002-5806-3974"},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Gao","raw_affiliation_strings":["The Third Affiliated Hospital, Henan University of Chinese Medicine, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Third Affiliated Hospital, Henan University of Chinese Medicine, Zhengzhou, China","institution_ids":["https://openalex.org/I173899330"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008220922","display_name":"Yuxin Sun","orcid":"https://orcid.org/0000-0002-6012-6284"},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"YuXin Sun","raw_affiliation_strings":["The Third Affiliated Hospital, Henan University of Chinese Medicine, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Third Affiliated Hospital, Henan University of Chinese Medicine, Zhengzhou, China","institution_ids":["https://openalex.org/I173899330"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100433824","display_name":"Lei Zhang","orcid":"https://orcid.org/0000-0001-6926-0538"},"institutions":[{"id":"https://openalex.org/I4210141683","display_name":"China Academy of Chinese Medical Sciences","ror":"https://ror.org/042pgcv68","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210141683"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhang","raw_affiliation_strings":["China Academy Of Chinese Medical Sciences, Institute Of Basic Research In Clinical Medicine, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Academy Of Chinese Medical Sciences, Institute Of Basic Research In Clinical Medicine, Beijing, China","institution_ids":["https://openalex.org/I4210141683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1632","last_page":"1636"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9921000003814697,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9908999800682068,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/apriori-algorithm","display_name":"Apriori algorithm","score":0.8914220333099365},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.8777542114257812},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6828941106796265},{"id":"https://openalex.org/keywords/thread","display_name":"Thread (computing)","score":0.6167259812355042},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6165965795516968},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5479183793067932},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.47773975133895874},{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.4602988362312317},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.4506542682647705}],"concepts":[{"id":"https://openalex.org/C81440476","wikidata":"https://www.wikidata.org/wiki/Q513511","display_name":"Apriori algorithm","level":3,"score":0.8914220333099365},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.8777542114257812},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6828941106796265},{"id":"https://openalex.org/C138101251","wikidata":"https://www.wikidata.org/wiki/Q213092","display_name":"Thread (computing)","level":2,"score":0.6167259812355042},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6165965795516968},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5479183793067932},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.47773975133895874},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.4602988362312317},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.4506542682647705},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm49941.2020.9313135","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm49941.2020.9313135","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7400000095367432,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W2064853889","https://openalex.org/W2166559705"],"related_works":["https://openalex.org/W2390051172","https://openalex.org/W2297208791","https://openalex.org/W2367209111","https://openalex.org/W2351000793","https://openalex.org/W2366790077","https://openalex.org/W2348276166","https://openalex.org/W3034345083","https://openalex.org/W2607264580","https://openalex.org/W3012205960","https://openalex.org/W1483188779"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"the":[3,20,26,34,36,49,73,80,84,89,98,103,109,123,127,139,142,145,172,181],"association":[4,62,91,162],"relationship":[5],"between":[6],"data":[7,51,104,133,161],"is":[8,30,96,115,166],"becoming":[9],"more":[10,12],"and":[11,108,158],"complex.":[13],"The":[14],"Apriori":[15],"algorithm,":[16,65,67,69],"needs":[17],"to":[18,24,44,53,101,121,149],"scan":[19,132],"database":[21],"several":[22],"times":[23],"calculate":[25],"candidate":[27,128],"set,":[28,52,134],"which":[29],"inefficient.":[31],"By":[32],"designing":[33],"experiment,":[35],"use":[37],"of":[38,48,58,61,106,111,141,153,155,175,187],"professor":[39,169],"Lei":[40,171],"Zhang":[41,170],"from":[42],"2006":[43],"2017,":[45],"11038":[46],"cases":[47,152],"basis":[50,154],"put":[54],"forward":[55],"four":[56],"kinds":[57],"improved":[59],"algorithm":[60,71,82,95,124,148],"rules:":[63],"FP-growth":[64],"Apriori_ParallelCount":[66,81,94],"GAN":[68],"Apriori_BOMS":[70],"do":[72],"performance":[74,87],"testing.":[75],"Experimental":[76],"results":[77],"show":[78],"that":[79,168],"has":[83],"best":[85],"comprehensive":[86],"among":[88],"five":[90],"rule":[92],"algorithms.":[93],"uses":[97],"hash":[99,119],"stored":[100,116],"nature,":[102],"collection":[105],"transaction":[107],"mapping":[110,186],"frequent":[112],"item":[113],"sets":[114],"in":[117],"a":[118],"structure,":[120],"avoid":[122],"when":[125],"calculating":[126],"set":[129],"support":[130],"multiple":[131],"proposed":[135],"multi-threaded":[136],"operation,":[137],"improve":[138],"efficiency":[140],"algorithm.":[143],"Using":[144],"most":[146],"efficient":[147],"contain":[150],"1625":[151],"Pinellia":[156,176],"tuber":[157],"Golden":[159,178],"thread":[160],"rules":[163],"analysis,":[164],"it":[165],"concluded":[167],"synergy":[173],"law":[174],"tuber-":[177],"thread,":[179],"using":[180],"Python":[182],"language":[183],"for":[184],"visualization":[185],"all":[188],"analytical":[189],"results.":[190]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
