{"id":"https://openalex.org/W2150430358","doi":"https://doi.org/10.1109/icsmc.2004.1400837","title":"Learning coverage rules from incomplete data based on rough sets","display_name":"Learning coverage rules from incomplete data based on rough sets","publication_year":2005,"publication_date":"2005-04-12","ids":{"openalex":"https://openalex.org/W2150430358","doi":"https://doi.org/10.1109/icsmc.2004.1400837","mag":"2150430358"},"language":"en","primary_location":{"id":"doi:10.1109/icsmc.2004.1400837","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2004.1400837","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583)","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":"https://openalex.org/A5057105630","display_name":"Tzung\u2010Pei Hong","orcid":"https://orcid.org/0000-0001-7305-6492"},"institutions":[{"id":"https://openalex.org/I192168892","display_name":"National University of Kaohsiung","ror":"https://ror.org/013zjb662","country_code":"TW","type":"education","lineage":["https://openalex.org/I192168892"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Tzung-Pei Hong","raw_affiliation_strings":["Department of Electrical Engineering, National University of Kaohsiung, Kaohsiung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National University of Kaohsiung, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I192168892"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038051699","display_name":"Li-Huei Tseng","orcid":null},"institutions":[{"id":"https://openalex.org/I98298690","display_name":"I-Shou University","ror":"https://ror.org/04d7e4m76","country_code":"TW","type":"education","lineage":["https://openalex.org/I98298690"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Li-Huei Tseng","raw_affiliation_strings":["Institute of Information Engineering, I-Shou University, Kaohsiung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, I-Shou University, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I98298690"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018914927","display_name":"Been-Chian Chien","orcid":"https://orcid.org/0000-0003-0181-7269"},"institutions":[{"id":"https://openalex.org/I98298690","display_name":"I-Shou University","ror":"https://ror.org/04d7e4m76","country_code":"TW","type":"education","lineage":["https://openalex.org/I98298690"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Been-Chian Chien","raw_affiliation_strings":["Institute of Information Engineering, I-Shou University, Kaohsiung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, I-Shou University, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I98298690"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5057105630"],"corresponding_institution_ids":["https://openalex.org/I192168892"],"apc_list":null,"apc_paid":null,"fwci":1.7568,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.84955841,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2","issue":null,"first_page":"3226","last_page":"3231"},"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9617000222206116,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9309999942779541,"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/rough-set","display_name":"Rough set","score":0.85599285364151},{"id":"https://openalex.org/keywords/equivalence","display_name":"Equivalence (formal languages)","score":0.6871063709259033},{"id":"https://openalex.org/keywords/complete-information","display_name":"Complete information","score":0.621381402015686},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5640759468078613},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5543038845062256},{"id":"https://openalex.org/keywords/cover","display_name":"Cover (algebra)","score":0.5497678518295288},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5180349946022034},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5147631168365479},{"id":"https://openalex.org/keywords/equivalence-class","display_name":"Equivalence class (music)","score":0.5053384900093079},{"id":"https://openalex.org/keywords/dominance-based-rough-set-approach","display_name":"Dominance-based rough set approach","score":0.49421265721321106},{"id":"https://openalex.org/keywords/base","display_name":"Base (topology)","score":0.4799392819404602},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.4521217942237854},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4348210096359253},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.423796147108078},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.369174063205719},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36058250069618225},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.20508155226707458}],"concepts":[{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.85599285364151},{"id":"https://openalex.org/C2780069185","wikidata":"https://www.wikidata.org/wiki/Q7977945","display_name":"Equivalence (formal languages)","level":2,"score":0.6871063709259033},{"id":"https://openalex.org/C113336015","wikidata":"https://www.wikidata.org/wiki/Q574010","display_name":"Complete information","level":2,"score":0.621381402015686},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5640759468078613},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5543038845062256},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.5497678518295288},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5180349946022034},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5147631168365479},{"id":"https://openalex.org/C2777044963","wikidata":"https://www.wikidata.org/wiki/Q5384707","display_name":"Equivalence class (music)","level":2,"score":0.5053384900093079},{"id":"https://openalex.org/C39105242","wikidata":"https://www.wikidata.org/wiki/Q5290286","display_name":"Dominance-based rough set approach","level":3,"score":0.49421265721321106},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.4799392819404602},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.4521217942237854},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4348210096359253},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.423796147108078},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.369174063205719},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36058250069618225},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.20508155226707458},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","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/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","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:10.1109/icsmc.2004.1400837","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2004.1400837","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6299999952316284,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W164604554","https://openalex.org/W1535361561","https://openalex.org/W1549872659","https://openalex.org/W1557923305","https://openalex.org/W1565902562","https://openalex.org/W1568285589","https://openalex.org/W1974088341","https://openalex.org/W1994661362","https://openalex.org/W2001619934","https://openalex.org/W2009207944","https://openalex.org/W2037030751","https://openalex.org/W2095290023","https://openalex.org/W2109367172","https://openalex.org/W2116604339","https://openalex.org/W2123147953","https://openalex.org/W2131323062","https://openalex.org/W2138112392","https://openalex.org/W2149706766","https://openalex.org/W2153546751","https://openalex.org/W2157160476","https://openalex.org/W2335322260","https://openalex.org/W3139831614","https://openalex.org/W4236137412","https://openalex.org/W4255833381"],"related_works":["https://openalex.org/W2123662875","https://openalex.org/W2473601878","https://openalex.org/W2379884433","https://openalex.org/W2042497195","https://openalex.org/W2397494716","https://openalex.org/W2165634587","https://openalex.org/W4214891796","https://openalex.org/W2129446955","https://openalex.org/W2155977703","https://openalex.org/W1899771913"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"deal":[4],"with":[5],"the":[6,28,36,56,64,71,91,99,110,119,128],"problem":[7],"of":[8,12,19,70,113],"producing":[9],"a":[10,148],"set":[11,112],"certain":[13],"and":[14,50,59,118,133],"possible":[15,48],"rules":[16,30,132,140],"for":[17],"coverage":[18,29,111,131],"incomplete":[20,57,66,76,92,100],"data":[21],"sets":[22],"based":[23],"on":[24,123],"rough":[25],"sets.":[26],"All":[27],"gathered":[31],"together":[32],"can":[33,142],"cover":[34],"all":[35],"given":[37,65],"training":[38,67,101,116],"examples.":[39,68],"Unknown":[40],"values":[41,49],"are":[42,51,95],"first":[43],"assumed":[44],"to":[45,55,84,108,126,134,146],"be":[46,144],"any":[47],"gradually":[52],"refined":[53],"according":[54,83],"lower":[58,77],"upper":[60,79],"approximations":[61,80,120],"derived":[62,141],"from":[63,98],"One":[69],"best":[72],"equivalence":[73,93],"classes":[74],"in":[75],"or":[78],"is":[81,106],"chosen":[82],"some":[85],"criteria.":[86],"The":[87,103,115,139],"objects":[88],"covered":[89],"by":[90],"class":[94],"then":[96,121,143],"removed":[97],"set.":[102],"same":[104],"procedure":[105],"repeated":[107],"find":[109,127],"rules.":[114],"examples":[117],"interact":[122],"each":[124],"other":[125],"maximally":[129],"general":[130],"estimate":[135],"appropriate":[136],"unknown":[137],"values.":[138],"used":[145],"build":[147],"prototype":[149],"knowledge":[150],"base.":[151]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}