{"id":"https://openalex.org/W2086171680","doi":"https://doi.org/10.1109/fskd.2010.5569211","title":"Application of cluster in quantitative association rules mining","display_name":"Application of cluster in quantitative association rules mining","publication_year":2010,"publication_date":"2010-08-01","ids":{"openalex":"https://openalex.org/W2086171680","doi":"https://doi.org/10.1109/fskd.2010.5569211","mag":"2086171680"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2010.5569211","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2010.5569211","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/A5088475612","display_name":"Lou Lanfang","orcid":null},"institutions":[{"id":"https://openalex.org/I18452120","display_name":"Yantai University","ror":"https://ror.org/01rp41m56","country_code":"CN","type":"education","lineage":["https://openalex.org/I18452120"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lanfang Lou","raw_affiliation_strings":["School of Computer Science and Technology, Yantai University, Yantai, China","School of Computer Science and Technology, Yantai University, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Yantai University, Yantai, China","institution_ids":["https://openalex.org/I18452120"]},{"raw_affiliation_string":"School of Computer Science and Technology, Yantai University, China","institution_ids":["https://openalex.org/I18452120"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022759599","display_name":"Jianhai Hou","orcid":null},"institutions":[{"id":"https://openalex.org/I18452120","display_name":"Yantai University","ror":"https://ror.org/01rp41m56","country_code":"CN","type":"education","lineage":["https://openalex.org/I18452120"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhai Hou","raw_affiliation_strings":["School of Computer Science and Technology, Yantai University, Yantai, China","School of Computer Science and Technology, Yantai University, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Yantai University, Yantai, China","institution_ids":["https://openalex.org/I18452120"]},{"raw_affiliation_string":"School of Computer Science and Technology, Yantai University, China","institution_ids":["https://openalex.org/I18452120"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100705747","display_name":"Qingxian Pan","orcid":"https://orcid.org/0000-0001-6262-2487"},"institutions":[{"id":"https://openalex.org/I18452120","display_name":"Yantai University","ror":"https://ror.org/01rp41m56","country_code":"CN","type":"education","lineage":["https://openalex.org/I18452120"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingxian Pan","raw_affiliation_strings":["School of Computer Science and Technology, Yantai University, Yantai, China","School of Computer Science and Technology, Yantai University, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Yantai University, Yantai, China","institution_ids":["https://openalex.org/I18452120"]},{"raw_affiliation_string":"School of Computer Science and Technology, Yantai University, China","institution_ids":["https://openalex.org/I18452120"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100443577","display_name":"Lihong Wang","orcid":"https://orcid.org/0000-0003-0004-767X"},"institutions":[{"id":"https://openalex.org/I18452120","display_name":"Yantai University","ror":"https://ror.org/01rp41m56","country_code":"CN","type":"education","lineage":["https://openalex.org/I18452120"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lihong Wang","raw_affiliation_strings":["School of Computer Science and Technology, Yantai University, Yantai, China","School of Computer Science and Technology, Yantai University, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Yantai University, Yantai, China","institution_ids":["https://openalex.org/I18452120"]},{"raw_affiliation_string":"School of Computer Science and Technology, Yantai University, China","institution_ids":["https://openalex.org/I18452120"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5088475612"],"corresponding_institution_ids":["https://openalex.org/I18452120"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24868766,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1474","last_page":"1478"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9909999966621399,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.970300018787384,"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/segmentation","display_name":"Segmentation","score":0.6967098712921143},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.676378607749939},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6471900343894958},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6209394931793213},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.5665783286094666},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5397942662239075},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.48583146929740906},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.460247665643692},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4483475089073181},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37949493527412415},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21336692571640015},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09923321008682251}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6967098712921143},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.676378607749939},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6471900343894958},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6209394931793213},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.5665783286094666},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5397942662239075},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.48583146929740906},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.460247665643692},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4483475089073181},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37949493527412415},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21336692571640015},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09923321008682251},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2010.5569211","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2010.5569211","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":0.4000000059604645,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1506285740","https://openalex.org/W1556507321","https://openalex.org/W2000473687","https://openalex.org/W2095897464","https://openalex.org/W2978337448","https://openalex.org/W2997167919","https://openalex.org/W6630198464"],"related_works":["https://openalex.org/W2751920613","https://openalex.org/W2415164632","https://openalex.org/W2238349241","https://openalex.org/W2355668701","https://openalex.org/W2370453500","https://openalex.org/W2079402849","https://openalex.org/W2359717995","https://openalex.org/W1561334777","https://openalex.org/W2381089416","https://openalex.org/W1522196789"],"abstract_inverted_index":{"On":[0],"mining":[1],"quantitative":[2],"association":[3],"rules":[4],"and":[5,26,40],"the":[6,23,27,37],"segmentation":[7,24,28],"of":[8,12,30,48],"numerical":[9],"attributes":[10],"variables":[11],"ordered":[13],"data,":[14],"Fisher":[15],"cluster":[16],"method":[17,35],"can":[18],"be":[19],"used":[20],"to":[21,51],"determine":[22],"range":[25],"number":[29],"this":[31],"variable":[32],"value.":[33],"The":[34],"takes":[36],"data":[38,41,52],"interval":[39],"density":[42],"into":[43],"account.":[44],"Therefore":[45],"it":[46],"is":[47],"great":[49],"significance":[50],"pre-processing.":[53]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
