{"id":"https://openalex.org/W2562701013","doi":"https://doi.org/10.3233/fi-2016-1421","title":"Mining Rule-based Knowledge Bases Inspired by Rough Set Theory","display_name":"Mining Rule-based Knowledge Bases Inspired by Rough Set Theory","publication_year":2016,"publication_date":"2016-12-24","ids":{"openalex":"https://openalex.org/W2562701013","doi":"https://doi.org/10.3233/fi-2016-1421","mag":"2562701013"},"language":"en","primary_location":{"id":"doi:10.3233/fi-2016-1421","is_oa":false,"landing_page_url":"https://doi.org/10.3233/fi-2016-1421","pdf_url":null,"source":{"id":"https://openalex.org/S39012697","display_name":"Fundamenta Informaticae","issn_l":"0169-2968","issn":["0169-2968","1875-8681"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Fundamenta Informaticae","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/A5088457184","display_name":"Agnieszka Nowak-Brzezi\u0144ska","orcid":"https://orcid.org/0000-0001-7238-1170"},"institutions":[{"id":"https://openalex.org/I4210162266","display_name":"Institute of Occupational Medicine and Environmental Health","ror":"https://ror.org/04mgjym08","country_code":"PL","type":"facility","lineage":["https://openalex.org/I4210162266"]},{"id":"https://openalex.org/I864159182","display_name":"University of Silesia in Katowice","ror":"https://ror.org/0104rcc94","country_code":"PL","type":"education","lineage":["https://openalex.org/I864159182"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Agnieszka Nowak-Brzezi\u0144ska","raw_affiliation_strings":["Institute of Computer Science, Silesian University, B\u0119dzi\u0144ska 39, 41-200 Sosnowiec, Poland"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science, Silesian University, B\u0119dzi\u0144ska 39, 41-200 Sosnowiec, Poland","institution_ids":["https://openalex.org/I864159182","https://openalex.org/I4210162266"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5088457184"],"corresponding_institution_ids":["https://openalex.org/I4210162266","https://openalex.org/I864159182"],"apc_list":null,"apc_paid":null,"fwci":5.924,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.9644595,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"148","issue":"1-2","first_page":"35","last_page":"50"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9998000264167786,"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":0.9998000264167786,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9898999929428101,"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"}},{"id":"https://openalex.org/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.9890000224113464,"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/inference","display_name":"Inference","score":0.7859885692596436},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.6930835843086243},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.6441315412521362},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6404345035552979},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.6391520500183105},{"id":"https://openalex.org/keywords/rule-of-inference","display_name":"Rule of inference","score":0.571863055229187},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5706073045730591},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5313024520874023},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.48784661293029785},{"id":"https://openalex.org/keywords/knowledge-extraction","display_name":"Knowledge extraction","score":0.45833924412727356},{"id":"https://openalex.org/keywords/inference-engine","display_name":"Inference engine","score":0.4492435157299042},{"id":"https://openalex.org/keywords/base","display_name":"Base (topology)","score":0.43843623995780945},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43437647819519043},{"id":"https://openalex.org/keywords/knowledge-based-systems","display_name":"Knowledge-based systems","score":0.41642531752586365},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4073027968406677},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26458582282066345}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7859885692596436},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.6930835843086243},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.6441315412521362},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6404345035552979},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.6391520500183105},{"id":"https://openalex.org/C3746660","wikidata":"https://www.wikidata.org/wiki/Q1068763","display_name":"Rule of inference","level":2,"score":0.571863055229187},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5706073045730591},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5313024520874023},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.48784661293029785},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.45833924412727356},{"id":"https://openalex.org/C46743427","wikidata":"https://www.wikidata.org/wiki/Q1341685","display_name":"Inference engine","level":3,"score":0.4492435157299042},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.43843623995780945},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43437647819519043},{"id":"https://openalex.org/C115925183","wikidata":"https://www.wikidata.org/wiki/Q1412694","display_name":"Knowledge-based systems","level":2,"score":0.41642531752586365},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4073027968406677},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26458582282066345},{"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/fi-2016-1421","is_oa":false,"landing_page_url":"https://doi.org/10.3233/fi-2016-1421","pdf_url":null,"source":{"id":"https://openalex.org/S39012697","display_name":"Fundamenta Informaticae","issn_l":"0169-2968","issn":["0169-2968","1875-8681"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Fundamenta Informaticae","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":11,"referenced_works":["https://openalex.org/W1489645136","https://openalex.org/W1560832565","https://openalex.org/W1757809222","https://openalex.org/W1834568680","https://openalex.org/W1942819823","https://openalex.org/W2082167663","https://openalex.org/W2116502002","https://openalex.org/W2137627189","https://openalex.org/W2165022828","https://openalex.org/W2283465991","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2005378346","https://openalex.org/W2348430812","https://openalex.org/W2369293046","https://openalex.org/W2379409486","https://openalex.org/W4375958074","https://openalex.org/W2067098584","https://openalex.org/W2395929705","https://openalex.org/W1498088200","https://openalex.org/W4206316315","https://openalex.org/W1520100787"],"abstract_inverted_index":{"Rule-based":[0],"knowledge":[1,10,47,92,106],"bases":[2],"are":[3,25],"constantly":[4],"increasing":[5],"in":[6,60,128],"volume,":[7],"thus":[8],"the":[9,31,43,66,69,102,105,110,118,121,129,132],"stored":[11],"as":[12],"a":[13,88],"set":[14],"of":[15,37,45,52,68,75,90,104,120,131],"rules":[16,24,97],"is":[17,33,40,78],"getting":[18],"progressively":[19],"more":[20],"complex":[21],"and":[22,56],"when":[23],"not":[26],"organized":[27],"into":[28],"any":[29],"structure,":[30],"system":[32],"inefficient.":[34],"The":[35,72],"aim":[36],"this":[38,76],"paper":[39],"to":[41,64],"improve":[42,65],"performance":[44,74],"mining":[46],"b":[48],"ases":[49],"by":[50],"modification":[51],"both":[53],"their":[54],"structure":[55],"inference":[57,70,111,133],"algorithms,":[58],"which":[59],"author\u2019s":[61],"opinion,":[62],"lead":[63],"efficiency":[67,130],"process.":[71,112,134],"good":[73],"approach":[77],"shown":[79],"through":[80],"an":[81,125],"extensive":[82],"experimental":[83],"study":[84],"carried":[85],"out":[86],"on":[87],"collection":[89],"real":[91],"bases.":[93],"Experiments":[94],"prove":[95],"that":[96,117],"partition":[98],"enables":[99],"reducing":[100],"significantly":[101],"percentage":[103],"base":[107],"analysed":[108],"during":[109],"It":[113],"was":[114],"also":[115],"proved":[116],"form":[119],"group\u2019s":[122],"representative":[123],"plays":[124],"important":[126],"role":[127]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":11},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}