{"id":"https://openalex.org/W2125950426","doi":"https://doi.org/10.1109/iri.2011.6009579","title":"Effective supervised discretization for classification based on correlation maximization","display_name":"Effective supervised discretization for classification based on correlation maximization","publication_year":2011,"publication_date":"2011-08-01","ids":{"openalex":"https://openalex.org/W2125950426","doi":"https://doi.org/10.1109/iri.2011.6009579","mag":"2125950426"},"language":"en","primary_location":{"id":"doi:10.1109/iri.2011.6009579","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iri.2011.6009579","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Information Reuse &amp; Integration","raw_type":"proceedings-article"},"type":"conference-paper","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/A5012104342","display_name":"Qiusha Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I145608581","display_name":"University of Miami","ror":"https://ror.org/02dgjyy92","country_code":"US","type":"education","lineage":["https://openalex.org/I145608581"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qiusha Zhu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL, USA","Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL 33124, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL, USA","institution_ids":["https://openalex.org/I145608581"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL 33124, USA","institution_ids":["https://openalex.org/I145608581"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100342089","display_name":"Lin Lin","orcid":"https://orcid.org/0009-0002-3536-6734"},"institutions":[{"id":"https://openalex.org/I145608581","display_name":"University of Miami","ror":"https://ror.org/02dgjyy92","country_code":"US","type":"education","lineage":["https://openalex.org/I145608581"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lin Lin","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL, USA","Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL 33124, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL, USA","institution_ids":["https://openalex.org/I145608581"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL 33124, USA","institution_ids":["https://openalex.org/I145608581"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036221136","display_name":"Mei\u2010Ling Shyu","orcid":"https://orcid.org/0000-0003-0902-0844"},"institutions":[{"id":"https://openalex.org/I145608581","display_name":"University of Miami","ror":"https://ror.org/02dgjyy92","country_code":"US","type":"education","lineage":["https://openalex.org/I145608581"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mei-Ling Shyu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL, USA","Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL 33124, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL, USA","institution_ids":["https://openalex.org/I145608581"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL 33124, USA","institution_ids":["https://openalex.org/I145608581"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049219173","display_name":"Shu\u2010Ching Chen","orcid":"https://orcid.org/0000-0001-9209-390X"},"institutions":[{"id":"https://openalex.org/I19700959","display_name":"Florida International University","ror":"https://ror.org/02gz6gg07","country_code":"US","type":"education","lineage":["https://openalex.org/I19700959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shu-Ching Chen","raw_affiliation_strings":["School of Computing and Information Sciences, Florida International University, Miami, FL, USA","School of Computing and Information Sciences, Florida International University, Miami, 33199, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing and Information Sciences, Florida International University, Miami, FL, USA","institution_ids":["https://openalex.org/I19700959"]},{"raw_affiliation_string":"School of Computing and Information Sciences, Florida International University, Miami, 33199, USA","institution_ids":["https://openalex.org/I19700959"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":46,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"32","issue":null,"first_page":"390","last_page":"395"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9702000021934509,"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"}},"topics":[{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9702000021934509,"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/T12114","display_name":"Sensory Analysis and Statistical Methods","score":0.961899995803833,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9279000163078308,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/discretization","display_name":"Discretization","score":0.9051359295845032},{"id":"https://openalex.org/keywords/discretization-of-continuous-features","display_name":"Discretization of continuous features","score":0.8386409282684326},{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.8181900978088379},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.613319993019104},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6056011319160461},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6022050380706787},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47452083230018616},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4638042449951172},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.44890540838241577},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4426581561565399},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.44207707047462463},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4258253276348114},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3296020030975342},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2803325057029724},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.18308216333389282},{"id":"https://openalex.org/keywords/discretization-error","display_name":"Discretization error","score":0.12637457251548767}],"concepts":[{"id":"https://openalex.org/C73000952","wikidata":"https://www.wikidata.org/wiki/Q17007827","display_name":"Discretization","level":2,"score":0.9051359295845032},{"id":"https://openalex.org/C105427703","wikidata":"https://www.wikidata.org/wiki/Q665193","display_name":"Discretization of continuous features","level":4,"score":0.8386409282684326},{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.8181900978088379},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.613319993019104},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6056011319160461},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6022050380706787},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47452083230018616},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4638042449951172},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.44890540838241577},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4426581561565399},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.44207707047462463},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4258253276348114},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3296020030975342},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2803325057029724},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.18308216333389282},{"id":"https://openalex.org/C126148662","wikidata":"https://www.wikidata.org/wiki/Q3890355","display_name":"Discretization error","level":3,"score":0.12637457251548767},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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:10.1109/iri.2011.6009579","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iri.2011.6009579","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Information Reuse &amp; Integration","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1208489","https://openalex.org/W9305809","https://openalex.org/W149472151","https://openalex.org/W1124708747","https://openalex.org/W1570448133","https://openalex.org/W1585743408","https://openalex.org/W1597626025","https://openalex.org/W2074924176","https://openalex.org/W2080919181","https://openalex.org/W2132288950","https://openalex.org/W2148661353","https://openalex.org/W2153188249","https://openalex.org/W2170595610","https://openalex.org/W2171402728","https://openalex.org/W4285719527","https://openalex.org/W6600378069","https://openalex.org/W6606016081","https://openalex.org/W6635046684"],"related_works":["https://openalex.org/W2378829248","https://openalex.org/W1492103595","https://openalex.org/W2005929752","https://openalex.org/W2370926798","https://openalex.org/W2340621450","https://openalex.org/W2357904669","https://openalex.org/W1864774435","https://openalex.org/W2383105441","https://openalex.org/W2799209613","https://openalex.org/W3135322664"],"abstract_inverted_index":{"In":[0,69],"many":[1,18],"real-world":[2],"applications,":[3],"there":[4],"are":[5,10,138],"features":[6,24,166],"(or":[7],"attributes)":[8],"that":[9,120,154],"continuous":[11],"or":[12],"numerical":[13,41],"in":[14],"the":[15,26,55,66,98,107,117,122,174,179],"data.":[16],"However,":[17],"classification":[19,67,180],"models":[20],"only":[21,53],"take":[22],"nominal":[23,44],"as":[25,35],"inputs.":[27],"Therefore,":[28],"it":[29],"is":[30,84,93,113],"necessary":[31],"to":[32,39,58,96,115],"apply":[33],"discretization":[34,77,118,136,157],"a":[36,60,72,94,162],"pre-processing":[37],"step":[38],"transform":[40],"data":[42,45,50,57],"into":[43],"for":[46],"such":[47],"models.":[48],"Well-discretized":[49],"should":[51],"not":[52],"characterize":[54],"original":[56],"produce":[59],"concise":[61],"summarization,":[62],"but":[63],"also":[64],"improve":[65,178],"performance.":[68,181],"this":[70],"paper,":[71],"novel":[73],"and":[74,127,149,176],"effective":[75],"supervised":[76],"algorithm":[78,119,158],"based":[79],"on":[80,145],"correlation":[81,108],"maximization":[82],"(CM)":[83],"proposed":[85,156],"by":[86,169],"using":[87,140],"multiple":[88,101],"correspondence":[89],"analysis":[90],"(MCA)":[91],"which":[92],"technique":[95],"capture":[97],"correlations":[99,123,172],"between":[100,124],"variables.":[102],"For":[103],"each":[104],"numeric":[105],"feature,":[106],"information":[109],"generated":[110],"from":[111],"MCA":[112],"used":[114,135],"build":[116],"maximizes":[121],"feature":[125],"intervals/items":[126],"classes.":[128],"Empirical":[129],"comparisons":[130],"with":[131,173],"four":[132],"other":[133],"commonly":[134],"algorithms":[137],"conducted":[139],"six":[141],"well-known":[142],"classifiers.":[143],"Results":[144],"five":[146,150],"UCI":[147],"datasets":[148,152],"TRECVID":[151],"demonstrate":[153],"our":[155],"can":[159],"automatically":[160],"generate":[161],"better":[163],"set":[164],"of":[165],"(feature":[167],"intervals)":[168],"maximizing":[170],"their":[171],"classes":[175],"thus":[177]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":9},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":5}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
