{"id":"https://openalex.org/W2103355981","doi":"https://doi.org/10.1007/11539827_11","title":"Rough Set Strategies to Data with Missing Attribute Values","display_name":"Rough Set Strategies to Data with Missing Attribute Values","publication_year":2005,"publication_date":"2005-11-22","ids":{"openalex":"https://openalex.org/W2103355981","doi":"https://doi.org/10.1007/11539827_11","mag":"2103355981"},"language":"en","primary_location":{"id":"doi:10.1007/11539827_11","is_oa":false,"landing_page_url":"https://doi.org/10.1007/11539827_11","pdf_url":null,"source":{"id":"https://openalex.org/S2764461748","display_name":"Studies in computational intelligence","issn_l":"1860-949X","issn":["1860-949X","1860-9503"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Computational Intelligence","raw_type":"book-chapter"},"type":"book-chapter","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/A5053642132","display_name":"Jerzy W. Grzymala\u2010Busse","orcid":"https://orcid.org/0000-0001-8799-5714"},"institutions":[{"id":"https://openalex.org/I146416000","display_name":"University of Kansas","ror":"https://ror.org/001tmjg57","country_code":"US","type":"education","lineage":["https://openalex.org/I146416000"]},{"id":"https://openalex.org/I4210121044","display_name":"Institute of Psychology","ror":"https://ror.org/034dn0836","country_code":"PL","type":"facility","lineage":["https://openalex.org/I4210121044","https://openalex.org/I99542240"]},{"id":"https://openalex.org/I99542240","display_name":"Polish Academy of Sciences","ror":"https://ror.org/01dr6c206","country_code":"PL","type":"government","lineage":["https://openalex.org/I99542240"]}],"countries":["PL","US"],"is_corresponding":true,"raw_author_name":"Jerzy W. Grzymala-Busse","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of Kansas, USA, Lawrence, KS, 66045","Institute of Computer Science, Polish Academy of Sciences, Poland, Warsaw, 01-237"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Kansas, USA, Lawrence, KS, 66045","institution_ids":["https://openalex.org/I146416000"]},{"raw_affiliation_string":"Institute of Computer Science, Polish Academy of Sciences, Poland, Warsaw, 01-237","institution_ids":["https://openalex.org/I4210121044","https://openalex.org/I99542240"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5053642132"],"corresponding_institution_ids":["https://openalex.org/I146416000","https://openalex.org/I4210121044","https://openalex.org/I99542240"],"apc_list":null,"apc_paid":null,"fwci":24.1161,"has_fulltext":false,"cited_by_count":162,"citation_normalized_percentile":{"value":0.99394222,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"197","last_page":"212"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9998999834060669,"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":0.9998999834060669,"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/T10050","display_name":"Multi-Criteria Decision Making","score":0.9817000031471252,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.968999981880188,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.711439311504364},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.7009879350662231},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6218165755271912},{"id":"https://openalex.org/keywords/decision-table","display_name":"Decision table","score":0.6082314252853394},{"id":"https://openalex.org/keywords/decision-rule","display_name":"Decision rule","score":0.5777592062950134},{"id":"https://openalex.org/keywords/rule-induction","display_name":"Rule induction","score":0.5146113634109497},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4759361743927002},{"id":"https://openalex.org/keywords/attribute-domain","display_name":"Attribute domain","score":0.46549972891807556},{"id":"https://openalex.org/keywords/variable-and-attribute","display_name":"Variable and attribute","score":0.457507848739624},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.453970730304718},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44700950384140015},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.4163379669189453},{"id":"https://openalex.org/keywords/admissible-decision-rule","display_name":"Admissible decision rule","score":0.4145805537700653},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.4112253785133362},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.2811647951602936},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2189106047153473},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.20211035013198853},{"id":"https://openalex.org/keywords/weighted-sum-model","display_name":"Weighted sum model","score":0.18119388818740845},{"id":"https://openalex.org/keywords/optimal-decision","display_name":"Optimal decision","score":0.1735263168811798},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15516582131385803}],"concepts":[{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.711439311504364},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.7009879350662231},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6218165755271912},{"id":"https://openalex.org/C172967692","wikidata":"https://www.wikidata.org/wiki/Q747762","display_name":"Decision table","level":3,"score":0.6082314252853394},{"id":"https://openalex.org/C84839998","wikidata":"https://www.wikidata.org/wiki/Q5249245","display_name":"Decision rule","level":2,"score":0.5777592062950134},{"id":"https://openalex.org/C2776780472","wikidata":"https://www.wikidata.org/wiki/Q7378945","display_name":"Rule induction","level":2,"score":0.5146113634109497},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4759361743927002},{"id":"https://openalex.org/C75814411","wikidata":"https://www.wikidata.org/wiki/Q4818714","display_name":"Attribute domain","level":3,"score":0.46549972891807556},{"id":"https://openalex.org/C12692103","wikidata":"https://www.wikidata.org/wiki/Q113312","display_name":"Variable and attribute","level":4,"score":0.457507848739624},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.453970730304718},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44700950384140015},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.4163379669189453},{"id":"https://openalex.org/C61449625","wikidata":"https://www.wikidata.org/wiki/Q4683801","display_name":"Admissible decision rule","level":5,"score":0.4145805537700653},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.4112253785133362},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2811647951602936},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2189106047153473},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.20211035013198853},{"id":"https://openalex.org/C188222737","wikidata":"https://www.wikidata.org/wiki/Q7979909","display_name":"Weighted sum model","level":4,"score":0.18119388818740845},{"id":"https://openalex.org/C150325174","wikidata":"https://www.wikidata.org/wiki/Q4335500","display_name":"Optimal decision","level":3,"score":0.1735263168811798},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15516582131385803},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/11539827_11","is_oa":false,"landing_page_url":"https://doi.org/10.1007/11539827_11","pdf_url":null,"source":{"id":"https://openalex.org/S2764461748","display_name":"Studies in computational intelligence","issn_l":"1860-949X","issn":["1860-949X","1860-9503"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Computational Intelligence","raw_type":"book-chapter"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.459.2763","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.459.2763","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://people.eecs.ku.edu/~jerzy/c88-icdm.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.800000011920929,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1508620301","https://openalex.org/W1549911309","https://openalex.org/W1557923305","https://openalex.org/W1987251161","https://openalex.org/W2023441160","https://openalex.org/W2037030751","https://openalex.org/W2087740657","https://openalex.org/W2095290023","https://openalex.org/W2103514965","https://openalex.org/W2117100923","https://openalex.org/W2122471290","https://openalex.org/W2491671861"],"related_works":["https://openalex.org/W2017739185","https://openalex.org/W1555799785","https://openalex.org/W2358866145","https://openalex.org/W3198792146","https://openalex.org/W984339528","https://openalex.org/W2283455119","https://openalex.org/W1616958941","https://openalex.org/W2162114398","https://openalex.org/W2114883427","https://openalex.org/W2060595422"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":11},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":14},{"year":2014,"cited_by_count":11},{"year":2013,"cited_by_count":11},{"year":2012,"cited_by_count":8}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}