{"id":"https://openalex.org/W2011334946","doi":"https://doi.org/10.1080/09528130210164206","title":"Concept lattice based composite classifiers for high predictability","display_name":"Concept lattice based composite classifiers for high predictability","publication_year":2002,"publication_date":"2002-04-01","ids":{"openalex":"https://openalex.org/W2011334946","doi":"https://doi.org/10.1080/09528130210164206","mag":"2011334946"},"language":"en","primary_location":{"id":"doi:10.1080/09528130210164206","is_oa":false,"landing_page_url":"https://doi.org/10.1080/09528130210164206","pdf_url":null,"source":{"id":"https://openalex.org/S153467142","display_name":"Journal of Experimental & Theoretical Artificial Intelligence","issn_l":"0952-813X","issn":["0952-813X","1362-3079"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Experimental & Theoretical Artificial Intelligence","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/A5112098283","display_name":"Zhipeng Xie","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Zhipeng Xie","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051209739","display_name":"Wynne Hsu","orcid":"https://orcid.org/0000-0002-4142-8893"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wynne Hsu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091897405","display_name":"Zongtian Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zongtian Liu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5019988958","display_name":"Mong Li Lee","orcid":"https://orcid.org/0000-0002-9636-388X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mong Li Lee","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5112098283"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7046,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.85854073,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"14","issue":"2-3","first_page":"143","last_page":"156"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9977999925613403,"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"}},"topics":[{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9977999925613403,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9944999814033508,"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":0.9778000116348267,"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/computer-science","display_name":"Computer science","score":0.7955700159072876},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.7467905282974243},{"id":"https://openalex.org/keywords/voting","display_name":"Voting","score":0.6487802267074585},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.6357296705245972},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5463221669197083},{"id":"https://openalex.org/keywords/bayes-classifier","display_name":"Bayes classifier","score":0.5391457676887512},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47733384370803833},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45788776874542236},{"id":"https://openalex.org/keywords/random-subspace-method","display_name":"Random subspace method","score":0.4408716857433319},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4387485682964325},{"id":"https://openalex.org/keywords/predictability","display_name":"Predictability","score":0.42803704738616943},{"id":"https://openalex.org/keywords/quadratic-classifier","display_name":"Quadratic classifier","score":0.42060983180999756},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.12619516253471375},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1198371946811676}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7955700159072876},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7467905282974243},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.6487802267074585},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.6357296705245972},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5463221669197083},{"id":"https://openalex.org/C185207860","wikidata":"https://www.wikidata.org/wiki/Q17004744","display_name":"Bayes classifier","level":4,"score":0.5391457676887512},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47733384370803833},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45788776874542236},{"id":"https://openalex.org/C106135958","wikidata":"https://www.wikidata.org/wiki/Q7291993","display_name":"Random subspace method","level":3,"score":0.4408716857433319},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4387485682964325},{"id":"https://openalex.org/C197640229","wikidata":"https://www.wikidata.org/wiki/Q2534066","display_name":"Predictability","level":2,"score":0.42803704738616943},{"id":"https://openalex.org/C52620605","wikidata":"https://www.wikidata.org/wiki/Q7268357","display_name":"Quadratic classifier","level":3,"score":0.42060983180999756},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.12619516253471375},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1198371946811676},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1080/09528130210164206","is_oa":false,"landing_page_url":"https://doi.org/10.1080/09528130210164206","pdf_url":null,"source":{"id":"https://openalex.org/S153467142","display_name":"Journal of Experimental & Theoretical Artificial Intelligence","issn_l":"0952-813X","issn":["0952-813X","1362-3079"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Experimental & Theoretical Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:scholarbank.nus.edu.sg:10635/39007","is_oa":false,"landing_page_url":"http://scholarbank.nus.edu.sg/handle/10635/39007","pdf_url":null,"source":{"id":"https://openalex.org/S7407052290","display_name":"National University of Singapore","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scopus","raw_type":"Article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.6.2395","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.6.2395","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.comp.nus.edu.sg/~whsu/publication/2002/JETAI.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W66443818","https://openalex.org/W1493297678","https://openalex.org/W1503729935","https://openalex.org/W1551066950","https://openalex.org/W1559060276","https://openalex.org/W1584840141","https://openalex.org/W1585743408","https://openalex.org/W1610836425","https://openalex.org/W1817561967","https://openalex.org/W1851672339","https://openalex.org/W1917795079","https://openalex.org/W1965961386","https://openalex.org/W2037753653","https://openalex.org/W2066771339","https://openalex.org/W2070534370","https://openalex.org/W2088779313","https://openalex.org/W2125055259","https://openalex.org/W2138497556","https://openalex.org/W2140785063","https://openalex.org/W2150942997","https://openalex.org/W2154642793","https://openalex.org/W2911678770","https://openalex.org/W2912934387","https://openalex.org/W2914782308","https://openalex.org/W2982720039","https://openalex.org/W3009784374","https://openalex.org/W3016210511","https://openalex.org/W3017143921","https://openalex.org/W4234423219","https://openalex.org/W4235072768","https://openalex.org/W4255318870"],"related_works":["https://openalex.org/W2374047926","https://openalex.org/W2394466068","https://openalex.org/W2381401419","https://openalex.org/W2368299322","https://openalex.org/W92531827","https://openalex.org/W2589213840","https://openalex.org/W2273564766","https://openalex.org/W2368396039","https://openalex.org/W2149131139","https://openalex.org/W2896010623"],"abstract_inverted_index":{"Concept":[0,8],"lattice":[1,40],"model,":[2],"the":[3,25,38,75,86],"core":[4],"structure":[5],"in":[6,14],"Formal":[7],"Analysis,":[9],"has":[10],"been":[11],"successfully":[12],"applied":[13],"software":[15],"engineering":[16],"and":[17,54,65],"knowledge":[18],"discovery.":[19],"In":[20],"this":[21],"paper,":[22],"we":[23],"integrate":[24],"simple":[26],"base":[27,78,89],"classifier":[28,79,90],"(Nave":[29],"Bayes":[30,77],"or":[31],"Nearest":[32,87],"Neighbor)":[33],"into":[34,80,91],"each":[35],"node":[36],"of":[37],"concept":[39,81,92],"to":[41,60,68],"form":[42],"a":[43,70],"new":[44,50,71],"composite":[45],"classifier.":[46],"We":[47],"develop":[48],"two":[49],"classification":[51],"systems,":[52],"CLNB":[53,73],"CLNN,":[55],"that":[56],"employ":[57],"efficient":[58],"constraints":[59],"search":[61],"for":[62],"interesting":[63],"patterns":[64],"voting":[66],"strategy":[67],"classify":[69],"object.":[72],"integrates":[74],"Nave":[76],"nodes":[82],"while":[83],"CLNN":[84],"incorporates":[85],"Neighbor":[88],"nodes.":[93]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}