{"id":"https://openalex.org/W2000265616","doi":"https://doi.org/10.1109/fskd.2010.5569736","title":"Construction of periodic temporal association rules in data mining","display_name":"Construction of periodic temporal association rules in data mining","publication_year":2010,"publication_date":"2010-08-01","ids":{"openalex":"https://openalex.org/W2000265616","doi":"https://doi.org/10.1109/fskd.2010.5569736","mag":"2000265616"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2010.5569736","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2010.5569736","pdf_url":null,"source":{"id":"https://openalex.org/S4363608217","display_name":"2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery","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/A5052200221","display_name":"Ru Miao","orcid":"https://orcid.org/0000-0003-0349-2971"},"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":true,"raw_author_name":"Ru Miao","raw_affiliation_strings":["Institute of Data and Knowledge Engineering, Henan University, Kaifeng, China","Institute of Data and Knowledge Engineering; Henan University; Kaifeng China"],"affiliations":[{"raw_affiliation_string":"Institute of Data and Knowledge Engineering, Henan University, Kaifeng, China","institution_ids":["https://openalex.org/I173899330"]},{"raw_affiliation_string":"Institute of Data and Knowledge Engineering; Henan University; Kaifeng China","institution_ids":["https://openalex.org/I173899330"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043810277","display_name":"Xiajiong Shen","orcid":"https://orcid.org/0000-0002-9407-0637"},"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":"Xia-Jiong Shen","raw_affiliation_strings":["Institute of Data and Knowledge Engineering, Henan University, Kaifeng, China","Institute of Data and Knowledge Engineering; Henan University; Kaifeng China"],"affiliations":[{"raw_affiliation_string":"Institute of Data and Knowledge Engineering, Henan University, Kaifeng, China","institution_ids":["https://openalex.org/I173899330"]},{"raw_affiliation_string":"Institute of Data and Knowledge Engineering; Henan University; Kaifeng China","institution_ids":["https://openalex.org/I173899330"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5052200221"],"corresponding_institution_ids":["https://openalex.org/I173899330"],"apc_list":null,"apc_paid":null,"fwci":2.0878,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.92573402,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"10","issue":null,"first_page":"2133","last_page":"2137"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9984999895095825,"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"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9984999895095825,"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"}},{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9930999875068665,"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":0.9517999887466431,"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/association-rule-learning","display_name":"Association rule learning","score":0.9324910640716553},{"id":"https://openalex.org/keywords/apriori-algorithm","display_name":"Apriori algorithm","score":0.7498190999031067},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.7256966233253479},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.6723690629005432},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6338641047477722},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.5593067407608032},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.5026645660400391},{"id":"https://openalex.org/keywords/temporal-database","display_name":"Temporal database","score":0.4150269031524658},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19260206818580627}],"concepts":[{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.9324910640716553},{"id":"https://openalex.org/C81440476","wikidata":"https://www.wikidata.org/wiki/Q513511","display_name":"Apriori algorithm","level":3,"score":0.7498190999031067},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.7256966233253479},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.6723690629005432},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6338641047477722},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.5593067407608032},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.5026645660400391},{"id":"https://openalex.org/C77277458","wikidata":"https://www.wikidata.org/wiki/Q1969246","display_name":"Temporal database","level":2,"score":0.4150269031524658},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19260206818580627},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2010.5569736","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2010.5569736","pdf_url":null,"source":{"id":"https://openalex.org/S4363608217","display_name":"2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W1538285186","https://openalex.org/W2128160875","https://openalex.org/W2150166382","https://openalex.org/W2363651668"],"related_works":["https://openalex.org/W2059333989","https://openalex.org/W2385229093","https://openalex.org/W2367209111","https://openalex.org/W2390051172","https://openalex.org/W2118198359","https://openalex.org/W4299529113","https://openalex.org/W2348237075","https://openalex.org/W2944276044","https://openalex.org/W2901595921","https://openalex.org/W1920846186"],"abstract_inverted_index":{"Association":[0],"rules":[1,40,52,90],"are":[2],"the":[3,32,56,71,83],"very":[4],"valuable":[5],"kind":[6],"of":[7,14,27,34,37,59,66,87],"law":[8],"in":[9,91],"data":[10,68,92],"mining.":[11,93],"The":[12,61],"fitness":[13],"time":[15],"is":[16,73,78],"seldom":[17],"illustrated":[18],"by":[19],"traditional":[20],"association":[21,39,51,89],"rules,":[22],"which":[23],"losses":[24],"a":[25,64],"number":[26],"useful":[28,74],"implicit":[29],"rules.":[30],"On":[31],"basis":[33],"further":[35],"study":[36],"other":[38],"mining":[41,48],"algorithms,":[42],"this":[43],"paper":[44],"has":[45],"developed":[46],"Apriori-extended":[47],"periodic":[49],"temporal":[50,88],"(MPTAR)":[53],"according":[54],"to":[55],"especial":[57],"periodicity":[58],"data.":[60],"test":[62],"on":[63],"group":[65],"financial":[67],"shows":[69],"that":[70],"method":[72],"and":[75,85],"efficient.":[76],"It":[77],"more":[79],"significant":[80],"for":[81],"improving":[82],"theory":[84],"implementation":[86]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
