{"id":"https://openalex.org/W2870766613","doi":"https://doi.org/10.1109/meco.2018.8406037","title":"The algorithm of mining association rules based on the derivative of the graph model of the datasets","display_name":"The algorithm of mining association rules based on the derivative of the graph model of the datasets","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2870766613","doi":"https://doi.org/10.1109/meco.2018.8406037","mag":"2870766613"},"language":"en","primary_location":{"id":"doi:10.1109/meco.2018.8406037","is_oa":false,"landing_page_url":"https://doi.org/10.1109/meco.2018.8406037","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 7th Mediterranean Conference on Embedded Computing (MECO)","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":null,"display_name":"Bakulev Aleksandr Valerievich","orcid":null},"institutions":[{"id":"https://openalex.org/I4210149385","display_name":"Ryazan State Radio Engineering University","ror":"https://ror.org/04y34yk39","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210149385"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Bakulev Aleksandr Valerievich","raw_affiliation_strings":["Ryazan State Radio Engineering University, RSREU, Ryazan, Russia"],"affiliations":[{"raw_affiliation_string":"Ryazan State Radio Engineering University, RSREU, Ryazan, Russia","institution_ids":["https://openalex.org/I4210149385"]}]},{"author_position":"last","author":{"id":null,"display_name":"Bakuleva Marina Alekseevna","orcid":null},"institutions":[{"id":"https://openalex.org/I4210149385","display_name":"Ryazan State Radio Engineering University","ror":"https://ror.org/04y34yk39","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210149385"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Bakuleva Marina Alekseevna","raw_affiliation_strings":["Ryazan State Radio Engineering University, RSREU, Ryazan, Russia"],"affiliations":[{"raw_affiliation_string":"Ryazan State Radio Engineering University, RSREU, Ryazan, Russia","institution_ids":["https://openalex.org/I4210149385"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210149385"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08227331,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9983999729156494,"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":0.9983999729156494,"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":0.9606000185012817,"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":0.8825182914733887},{"id":"https://openalex.org/keywords/database-transaction","display_name":"Database transaction","score":0.7266980409622192},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6935637593269348},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5985935926437378},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5503230094909668},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.4859508275985718},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4662182927131653},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4462498426437378},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.25763046741485596},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.23852643370628357}],"concepts":[{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.8825182914733887},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.7266980409622192},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6935637593269348},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5985935926437378},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5503230094909668},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.4859508275985718},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4662182927131653},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4462498426437378},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.25763046741485596},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.23852643370628357},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/meco.2018.8406037","is_oa":false,"landing_page_url":"https://doi.org/10.1109/meco.2018.8406037","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 7th Mediterranean Conference on Embedded Computing (MECO)","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":3,"referenced_works":["https://openalex.org/W2140129471","https://openalex.org/W2735651839","https://openalex.org/W2735944144"],"related_works":["https://openalex.org/W2392697706","https://openalex.org/W2113309085","https://openalex.org/W2410549043","https://openalex.org/W2133788718","https://openalex.org/W2394010168","https://openalex.org/W366033468","https://openalex.org/W128746893","https://openalex.org/W2367573304","https://openalex.org/W2537030075","https://openalex.org/W2006971496"],"abstract_inverted_index":{"This":[0],"article":[1],"devote":[2],"to":[3],"mining":[4],"association":[5,34],"rules.":[6],"We":[7,27,55],"are":[8],"given":[9],"a":[10],"large":[11],"dataset":[12],"from":[13],"the":[14,39,45,65,68],"database":[15],"of":[16,21,25,49,59,67],"hospital.":[17],"Each":[18],"transaction":[19],"consists":[20],"health":[22],"examination":[23],"result":[24],"patients.":[26],"developed":[28],"an":[29],"efficient":[30],"algorithm":[31,42,62],"that":[32],"generates":[33],"rules":[35],"between":[36],"items":[37],"in":[38],"database.":[40],"The":[41],"based":[43],"on":[44],"modeling":[46],"graph":[47],"(mograph)":[48],"analyzed":[50],"set":[51],"and":[52],"differentiation":[53],"one.":[54],"also":[56],"present":[57],"results":[58],"applying":[60],"this":[61],"which":[63],"shows":[64],"effectiveness":[66],"algorithm.":[69]},"counts_by_year":[],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
