{"id":"https://openalex.org/W1980853011","doi":"https://doi.org/10.1017/s089006040900016x","title":"From data to knowledge mining","display_name":"From data to knowledge mining","publication_year":2009,"publication_date":"2009-04-17","ids":{"openalex":"https://openalex.org/W1980853011","doi":"https://doi.org/10.1017/s089006040900016x","mag":"1980853011"},"language":"en","primary_location":{"id":"doi:10.1017/s089006040900016x","is_oa":false,"landing_page_url":"https://doi.org/10.1017/s089006040900016x","pdf_url":null,"source":{"id":"https://openalex.org/S4210193102","display_name":"Artificial intelligence for engineering design analysis and manufacturing","issn_l":"0890-0604","issn":["0890-0604","1469-1760"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence for Engineering Design, Analysis and Manufacturing","raw_type":"journal-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/A5049777551","display_name":"Ana Cristina Bicharra Garc\u00eda","orcid":"https://orcid.org/0000-0002-3797-5157"},"institutions":[{"id":"https://openalex.org/I161127581","display_name":"Universidade Federal Fluminense","ror":"https://ror.org/02rjhbb08","country_code":"BR","type":"education","lineage":["https://openalex.org/I161127581"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Ana Cristina Bicharra Garcia","raw_affiliation_strings":["Laborat\u00f3rio de Documenta\u00e7\u00e3o Ativa e Design Inteligente, Universidade Federal Fluminense, Fluminense, Brazil","Laborat\u00f3rio de documenta\u00e7\u00e3o ativa e design inteligente, universidade federal fluminense, fluminense, brazil#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laborat\u00f3rio de Documenta\u00e7\u00e3o Ativa e Design Inteligente, Universidade Federal Fluminense, Fluminense, Brazil","institution_ids":["https://openalex.org/I161127581"]},{"raw_affiliation_string":"Laborat\u00f3rio de documenta\u00e7\u00e3o ativa e design inteligente, universidade federal fluminense, fluminense, brazil#TAB#","institution_ids":["https://openalex.org/I161127581"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066795297","display_name":"Inha\u00fama Neves Ferraz","orcid":null},"institutions":[{"id":"https://openalex.org/I161127581","display_name":"Universidade Federal Fluminense","ror":"https://ror.org/02rjhbb08","country_code":"BR","type":"education","lineage":["https://openalex.org/I161127581"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Inhauma Ferraz","raw_affiliation_strings":["Laborat\u00f3rio de Documenta\u00e7\u00e3o Ativa e Design Inteligente, Universidade Federal Fluminense, Fluminense, Brazil","Laborat\u00f3rio de documenta\u00e7\u00e3o ativa e design inteligente, universidade federal fluminense, fluminense, brazil#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laborat\u00f3rio de Documenta\u00e7\u00e3o Ativa e Design Inteligente, Universidade Federal Fluminense, Fluminense, Brazil","institution_ids":["https://openalex.org/I161127581"]},{"raw_affiliation_string":"Laborat\u00f3rio de documenta\u00e7\u00e3o ativa e design inteligente, universidade federal fluminense, fluminense, brazil#TAB#","institution_ids":["https://openalex.org/I161127581"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023635796","display_name":"Adriana S. Vivacqua","orcid":"https://orcid.org/0000-0001-6830-5730"},"institutions":[{"id":"https://openalex.org/I161127581","display_name":"Universidade Federal Fluminense","ror":"https://ror.org/02rjhbb08","country_code":"BR","type":"education","lineage":["https://openalex.org/I161127581"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Adriana S. Vivacqua","raw_affiliation_strings":["Laborat\u00f3rio de Documenta\u00e7\u00e3o Ativa e Design Inteligente, Universidade Federal Fluminense, Fluminense, Brazil","Laborat\u00f3rio de documenta\u00e7\u00e3o ativa e design inteligente, universidade federal fluminense, fluminense, brazil#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laborat\u00f3rio de Documenta\u00e7\u00e3o Ativa e Design Inteligente, Universidade Federal Fluminense, Fluminense, Brazil","institution_ids":["https://openalex.org/I161127581"]},{"raw_affiliation_string":"Laborat\u00f3rio de documenta\u00e7\u00e3o ativa e design inteligente, universidade federal fluminense, fluminense, brazil#TAB#","institution_ids":["https://openalex.org/I161127581"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.8363,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.89824521,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"23","issue":"4","first_page":"427","last_page":"441"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9955999851226807,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9904999732971191,"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/association-rule-learning","display_name":"Association rule learning","score":0.7887359261512756},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7375960350036621},{"id":"https://openalex.org/keywords/knowledge-extraction","display_name":"Knowledge extraction","score":0.6664215326309204},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6461820602416992},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.5842628479003906},{"id":"https://openalex.org/keywords/cohesion","display_name":"Cohesion (chemistry)","score":0.5267911553382874},{"id":"https://openalex.org/keywords/ontology","display_name":"Ontology","score":0.5208725929260254},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4517946243286133},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.45171549916267395},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4392277002334595},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4372447431087494},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19925642013549805},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10451066493988037}],"concepts":[{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.7887359261512756},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7375960350036621},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.6664215326309204},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6461820602416992},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.5842628479003906},{"id":"https://openalex.org/C104054115","wikidata":"https://www.wikidata.org/wiki/Q216828","display_name":"Cohesion (chemistry)","level":2,"score":0.5267911553382874},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.5208725929260254},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4517946243286133},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.45171549916267395},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4392277002334595},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4372447431087494},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19925642013549805},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10451066493988037},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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:10.1017/s089006040900016x","is_oa":false,"landing_page_url":"https://doi.org/10.1017/s089006040900016x","pdf_url":null,"source":{"id":"https://openalex.org/S4210193102","display_name":"Artificial intelligence for engineering design analysis and manufacturing","issn_l":"0890-0604","issn":["0890-0604","1469-1760"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence for Engineering Design, Analysis and Manufacturing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W114024208","https://openalex.org/W173647602","https://openalex.org/W1484413656","https://openalex.org/W1485032909","https://openalex.org/W1506285740","https://openalex.org/W1507010987","https://openalex.org/W1523293200","https://openalex.org/W1524938675","https://openalex.org/W1558470944","https://openalex.org/W1796318616","https://openalex.org/W1986538131","https://openalex.org/W1987132308","https://openalex.org/W1998981782","https://openalex.org/W2021975707","https://openalex.org/W2032586893","https://openalex.org/W2042609034","https://openalex.org/W2052439630","https://openalex.org/W2071718761","https://openalex.org/W2080067737","https://openalex.org/W2095827076","https://openalex.org/W2106571168","https://openalex.org/W2120943950","https://openalex.org/W2129931217","https://openalex.org/W2136230992","https://openalex.org/W2137079713","https://openalex.org/W2145413351","https://openalex.org/W2155063366","https://openalex.org/W2157200002","https://openalex.org/W2161477496","https://openalex.org/W2234842726","https://openalex.org/W4212848460","https://openalex.org/W4285719527","https://openalex.org/W6628750762","https://openalex.org/W6629115934","https://openalex.org/W6980912594"],"related_works":["https://openalex.org/W2357854711","https://openalex.org/W4243448361","https://openalex.org/W2054759342","https://openalex.org/W2051700896","https://openalex.org/W1552255772","https://openalex.org/W2111524952","https://openalex.org/W4234690372","https://openalex.org/W2115872796","https://openalex.org/W4239551281","https://openalex.org/W2103484298"],"abstract_inverted_index":{"Abstract":[0],"Most":[1],"past":[2],"approaches":[3],"to":[4,33,84,104],"data":[5,31,61,82,95],"mining":[6,62],"have":[7],"been":[8,101],"based":[9],"on":[10],"association":[11,18,117],"rules.":[12,38],"However,":[13],"the":[14,23,44,47,76,88,121,131,143],"simple":[15],"application":[16],"of":[17,30,37,46,90,133],"rules":[19],"usually":[20],"only":[21],"changes":[22],"user's":[24,77],"problem":[25],"from":[26,93,108],"dealing":[27,34],"with":[28,35,116],"millions":[29],"points":[32],"thousands":[36],"Although":[39],"this":[40],"may":[41],"somewhat":[42],"reduce":[43],"scale":[45],"problem,":[48],"it":[49],"is":[50],"not":[51],"a":[52,59,72,114,127],"completely":[53],"satisfactory":[54],"solution.":[55],"This":[56],"paper":[57],"presents":[58],"new":[60],"technique,":[63],"called":[64],"knowledge":[65,140],"cohesion":[66],"(KC),":[67],"which":[68],"takes":[69],"into":[70],"account":[71],"domain":[73],"ontology":[74],"and":[75,139],"interest":[78],"in":[79,87,130],"exploring":[80],"certain":[81],"sets":[83],"extract":[85],"knowledge,":[86,135],"form":[89],"semantic":[91],"nets,":[92],"large":[94],"sets.":[96],"The":[97],"KC":[98,124],"method":[99],"has":[100,125],"successfully":[102],"applied":[103],"mine":[105],"causal":[106],"relations":[107],"oil":[109],"platform":[110],"accident":[111],"reports.":[112],"In":[113],"comparison":[115],"rule":[118],"techniques":[119],"for":[120],"same":[122],"domain,":[123],"shown":[126],"significant":[128],"improvement":[129],"extraction":[132],"relevant":[134],"using":[136],"processing":[137],"complexity":[138],"manageability":[141],"as":[142],"evaluation":[144],"criteria.":[145]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
