{"id":"https://openalex.org/W4253631816","doi":"https://doi.org/10.1007/978-3-540-25929-9_30","title":"Data Decomposition and Decision Rule Joining for Classification of Data with Missing Values","display_name":"Data Decomposition and Decision Rule Joining for Classification of Data with Missing Values","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W4253631816","doi":"https://doi.org/10.1007/978-3-540-25929-9_30"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-540-25929-9_30","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-540-25929-9_30","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","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/A5023754790","display_name":"Rafa\u0142 Latkowski","orcid":"https://orcid.org/0000-0002-6646-5447"},"institutions":[{"id":"https://openalex.org/I4210087266","display_name":"Institute of Computer Science","ror":"https://ror.org/003fvp964","country_code":"PL","type":"facility","lineage":["https://openalex.org/I4210087266","https://openalex.org/I99542240"]},{"id":"https://openalex.org/I4654613","display_name":"University of Warsaw","ror":"https://ror.org/039bjqg32","country_code":"PL","type":"education","lineage":["https://openalex.org/I4654613"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Rafa\u0142 Latkowski","raw_affiliation_strings":["Institute of Computer Science, Warsaw University, ul. Banacha 2, 02-097, Warszawa, Poland"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science, Warsaw University, ul. Banacha 2, 02-097, Warszawa, Poland","institution_ids":["https://openalex.org/I4654613","https://openalex.org/I4210087266"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014799221","display_name":"Micha\u0142 Miko\u0142ajczyk","orcid":"https://orcid.org/0000-0003-0424-235X"},"institutions":[{"id":"https://openalex.org/I4210137370","display_name":"Institute of Mathematics","ror":"https://ror.org/04hrrh248","country_code":"PL","type":"facility","lineage":["https://openalex.org/I4210137370","https://openalex.org/I99542240"]},{"id":"https://openalex.org/I4654613","display_name":"University of Warsaw","ror":"https://ror.org/039bjqg32","country_code":"PL","type":"education","lineage":["https://openalex.org/I4654613"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Micha\u0142 Miko\u0142ajczyk","raw_affiliation_strings":["Institute of Mathematics, Warsaw University, ul. Banacha 2, 02-097, Warszawa, Poland"],"affiliations":[{"raw_affiliation_string":"Institute of Mathematics, Warsaw University, ul. Banacha 2, 02-097, Warszawa, Poland","institution_ids":["https://openalex.org/I4654613","https://openalex.org/I4210137370"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5023754790"],"corresponding_institution_ids":["https://openalex.org/I4210087266","https://openalex.org/I4654613"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.8301,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.76283547,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"254","last_page":"263"},"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9829999804496765,"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/T14351","display_name":"Statistical and Computational Modeling","score":0.9632999897003174,"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/computer-science","display_name":"Computer science","score":0.7579648494720459},{"id":"https://openalex.org/keywords/rule-induction","display_name":"Rule induction","score":0.7242107391357422},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.6873513460159302},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.681612491607666},{"id":"https://openalex.org/keywords/decision-table","display_name":"Decision table","score":0.6727889180183411},{"id":"https://openalex.org/keywords/decision-rule","display_name":"Decision rule","score":0.6226840615272522},{"id":"https://openalex.org/keywords/admissible-decision-rule","display_name":"Admissible decision rule","score":0.565748393535614},{"id":"https://openalex.org/keywords/rule-based-system","display_name":"Rule-based system","score":0.4767526090145111},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4524867832660675},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4503256380558014},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.31806862354278564},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.30924224853515625},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.27662795782089233},{"id":"https://openalex.org/keywords/optimal-decision","display_name":"Optimal decision","score":0.16891077160835266},{"id":"https://openalex.org/keywords/weighted-sum-model","display_name":"Weighted sum model","score":0.15554752945899963}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7579648494720459},{"id":"https://openalex.org/C2776780472","wikidata":"https://www.wikidata.org/wiki/Q7378945","display_name":"Rule induction","level":2,"score":0.7242107391357422},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.6873513460159302},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.681612491607666},{"id":"https://openalex.org/C172967692","wikidata":"https://www.wikidata.org/wiki/Q747762","display_name":"Decision table","level":3,"score":0.6727889180183411},{"id":"https://openalex.org/C84839998","wikidata":"https://www.wikidata.org/wiki/Q5249245","display_name":"Decision rule","level":2,"score":0.6226840615272522},{"id":"https://openalex.org/C61449625","wikidata":"https://www.wikidata.org/wiki/Q4683801","display_name":"Admissible decision rule","level":5,"score":0.565748393535614},{"id":"https://openalex.org/C149271511","wikidata":"https://www.wikidata.org/wiki/Q1417149","display_name":"Rule-based system","level":2,"score":0.4767526090145111},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4524867832660675},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4503256380558014},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.31806862354278564},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.30924224853515625},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.27662795782089233},{"id":"https://openalex.org/C150325174","wikidata":"https://www.wikidata.org/wiki/Q4335500","display_name":"Optimal decision","level":3,"score":0.16891077160835266},{"id":"https://openalex.org/C188222737","wikidata":"https://www.wikidata.org/wiki/Q7979909","display_name":"Weighted sum model","level":4,"score":0.15554752945899963}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-540-25929-9_30","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-540-25929-9_30","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7699999809265137,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W193712352","https://openalex.org/W1553701556","https://openalex.org/W1558780827","https://openalex.org/W1586066135","https://openalex.org/W1900723567","https://openalex.org/W1982660309","https://openalex.org/W1997362234","https://openalex.org/W2116509046","https://openalex.org/W2151355822","https://openalex.org/W4232953319","https://openalex.org/W7074078976"],"related_works":["https://openalex.org/W2017739185","https://openalex.org/W2142570142","https://openalex.org/W2887291422","https://openalex.org/W2332793741","https://openalex.org/W1555799785","https://openalex.org/W2503256514","https://openalex.org/W2283455119","https://openalex.org/W984339528","https://openalex.org/W1616958941","https://openalex.org/W1929259441"],"abstract_inverted_index":null,"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
