{"id":"https://openalex.org/W2887216421","doi":"https://doi.org/10.1109/cits.2018.8440132","title":"An Improved Apriori Algorithm Applied to Mining Ancient Chinese Poems","display_name":"An Improved Apriori Algorithm Applied to Mining Ancient Chinese Poems","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2887216421","doi":"https://doi.org/10.1109/cits.2018.8440132","mag":"2887216421"},"language":"en","primary_location":{"id":"doi:10.1109/cits.2018.8440132","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cits.2018.8440132","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Computer, Information and Telecommunication Systems (CITS)","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/A5087973123","display_name":"Biwei Li","orcid":"https://orcid.org/0009-0007-9819-2096"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Biwei Li","raw_affiliation_strings":["School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101878268","display_name":"Qing Ji","orcid":"https://orcid.org/0000-0002-2466-9193"},"institutions":[{"id":"https://openalex.org/I4210114483","display_name":"Chongqing Vocational and Technical University of Mechatronics","ror":"https://ror.org/01jsjgv89","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210114483"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Ji","raw_affiliation_strings":["Beijing Institute of Special Electromechanical Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Special Electromechanical Technology, Beijing, China","institution_ids":["https://openalex.org/I4210114483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074559237","display_name":"Zhenqiang Mi","orcid":"https://orcid.org/0000-0002-5908-1162"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenqiang Mi","raw_affiliation_strings":["School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100397716","display_name":"Yang Yang","orcid":"https://orcid.org/0000-0003-0306-247X"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Yang","raw_affiliation_strings":["School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034630340","display_name":"Yu Guo","orcid":"https://orcid.org/0000-0002-7560-0225"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Guo","raw_affiliation_strings":["School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5087973123"],"corresponding_institution_ids":["https://openalex.org/I92403157"],"apc_list":null,"apc_paid":null,"fwci":0.7854,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.80487642,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2336","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9976999759674072,"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":0.9509000182151794,"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":0.9169514179229736},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.8321945667266846},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7489039897918701},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.7033823728561401},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.549066424369812},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5107712745666504},{"id":"https://openalex.org/keywords/gsp-algorithm","display_name":"GSP Algorithm","score":0.5001130104064941},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45503872632980347}],"concepts":[{"id":"https://openalex.org/C81440476","wikidata":"https://www.wikidata.org/wiki/Q513511","display_name":"Apriori algorithm","level":3,"score":0.9169514179229736},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.8321945667266846},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7489039897918701},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.7033823728561401},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.549066424369812},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5107712745666504},{"id":"https://openalex.org/C87146676","wikidata":"https://www.wikidata.org/wiki/Q5514602","display_name":"GSP Algorithm","level":4,"score":0.5001130104064941},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45503872632980347},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cits.2018.8440132","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cits.2018.8440132","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Computer, Information and Telecommunication Systems (CITS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8600000143051147,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W91256266","https://openalex.org/W1482810056","https://openalex.org/W1608194207","https://openalex.org/W2017663296","https://openalex.org/W2100356657","https://openalex.org/W2189465200","https://openalex.org/W2338569580","https://openalex.org/W2543631966","https://openalex.org/W2576065560","https://openalex.org/W2578347846","https://openalex.org/W6674841981","https://openalex.org/W6687322159","https://openalex.org/W6703777938","https://openalex.org/W6731954308"],"related_works":["https://openalex.org/W3034345083","https://openalex.org/W2376949134","https://openalex.org/W1483188779","https://openalex.org/W2086429535","https://openalex.org/W2204362737","https://openalex.org/W2390733913","https://openalex.org/W2380019578","https://openalex.org/W2373679199","https://openalex.org/W128746893","https://openalex.org/W4238174620"],"abstract_inverted_index":{"Based":[0],"on":[1,36],"the":[2,20,24,34,37,39,52,60,66,74,83,87,100,105,115,126,137,141,152],"study":[3,153],"of":[4,23,62,68,76,107,114,123,140,148,154],"classical":[5],"Apriori":[6,85],"algorithm,":[7,18,86],"this":[8],"paper":[9],"makes":[10],"a":[11],"comparison":[12],"between":[13],"FP-tree":[14],"algorithm":[15,58,90,131],"and":[16,27,31,44,71,102,157],"Eclat":[17],"analyzes":[19],"basic":[21],"principles":[22],"three":[25],"algorithms":[26],"their":[28],"respective":[29],"advantages":[30],"disadvantages.":[32],"After":[33],"research":[35],"algorithms,":[38],"author":[40,53],"finds":[41],"that":[42,95],"time":[43],"space":[45],"optimization":[46],"can":[47,132],"not":[48,97],"have":[49],"both.":[50],"So":[51],"puts":[54,72],"forward":[55,73],"an":[56],"improved":[57,89,130],"with":[59,79],"conception":[61],"importance":[63],"inspired":[64],"by":[65,99,119],"rules":[67,94,139],"Chinese":[69,144],"poems,":[70,145],"concept":[75],"\u201cimportance":[77],"degree\u201d":[78],"examples.":[80],"Compared":[81],"to":[82,121,135,151],"classic":[84],"new":[88],"ignores":[91],"some":[92],"association":[93,138],"are":[96],"concerned":[98],"user,":[101],"greatly":[103],"reduces":[104],"generation":[106],"two":[108],"candidate":[109],"items.":[110],"The":[111,129],"running":[112],"speed":[113],"program":[116],"is":[117,147],"increased":[118],"up":[120],"hundreds":[122],"times":[124],"in":[125,143],"testing":[127],"process.":[128],"be":[133],"applied":[134],"explore":[136],"characters":[142],"which":[146],"great":[149],"significance":[150],"ancient":[155],"poetry":[156],"grammar.":[158]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
