{"id":"https://openalex.org/W2036812737","doi":"https://doi.org/10.1109/icsmc.2010.5641834","title":"Quick induction of NNTrees for text categorization based on discriminative multiple centroid approach","display_name":"Quick induction of NNTrees for text categorization based on discriminative multiple centroid approach","publication_year":2010,"publication_date":"2010-10-01","ids":{"openalex":"https://openalex.org/W2036812737","doi":"https://doi.org/10.1109/icsmc.2010.5641834","mag":"2036812737"},"language":"en","primary_location":{"id":"doi:10.1109/icsmc.2010.5641834","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2010.5641834","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Systems, Man and Cybernetics","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/A5113742870","display_name":"Hirotomo Hayashi","orcid":null},"institutions":[{"id":"https://openalex.org/I141591182","display_name":"University of Aizu","ror":"https://ror.org/02pg0e883","country_code":"JP","type":"education","lineage":["https://openalex.org/I141591182"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Hirotomo Hayashi","raw_affiliation_strings":["Department of Computer and Information Systems, University of Aizu, Aizu-Wakamatsu, Japan","Department of Computer and Information Systems, The University of Aizu, Wakamatsu, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Systems, University of Aizu, Aizu-Wakamatsu, Japan","institution_ids":["https://openalex.org/I141591182"]},{"raw_affiliation_string":"Department of Computer and Information Systems, The University of Aizu, Wakamatsu, Japan","institution_ids":["https://openalex.org/I141591182"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069452869","display_name":"Qiangfu Zhao","orcid":"https://orcid.org/0000-0003-3101-749X"},"institutions":[{"id":"https://openalex.org/I141591182","display_name":"University of Aizu","ror":"https://ror.org/02pg0e883","country_code":"JP","type":"education","lineage":["https://openalex.org/I141591182"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Qiangfu Zhao","raw_affiliation_strings":["Department of Computer and Information Systems, University of Aizu, Aizu-Wakamatsu, Japan","Department of Computer and Information Systems, The University of Aizu, Wakamatsu, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Systems, University of Aizu, Aizu-Wakamatsu, Japan","institution_ids":["https://openalex.org/I141591182"]},{"raw_affiliation_string":"Department of Computer and Information Systems, The University of Aizu, Wakamatsu, Japan","institution_ids":["https://openalex.org/I141591182"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5113742870"],"corresponding_institution_ids":["https://openalex.org/I141591182"],"apc_list":null,"apc_paid":null,"fwci":0.9021,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.79952673,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"705","last_page":"712"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9973999857902527,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9973999857902527,"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/T10057","display_name":"Face and Expression Recognition","score":0.9968000054359436,"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"}},{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9957000017166138,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/centroid","display_name":"Centroid","score":0.7803172469139099},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.7422845363616943},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.7070413827896118},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6305354237556458},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.628372848033905},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6088659763336182},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.5707879066467285},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5501497387886047},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.4302249550819397},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39412033557891846}],"concepts":[{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.7803172469139099},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.7422845363616943},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.7070413827896118},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6305354237556458},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.628372848033905},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6088659763336182},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5707879066467285},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5501497387886047},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.4302249550819397},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39412033557891846}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsmc.2010.5641834","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2010.5641834","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Systems, Man and Cybernetics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1492815528","https://openalex.org/W1515620500","https://openalex.org/W1523949738","https://openalex.org/W1534408902","https://openalex.org/W1593045043","https://openalex.org/W1594031697","https://openalex.org/W1857290210","https://openalex.org/W2013825190","https://openalex.org/W2042481239","https://openalex.org/W2058982198","https://openalex.org/W2088658068","https://openalex.org/W2109779438","https://openalex.org/W2114766824","https://openalex.org/W2125055259","https://openalex.org/W2127839699","https://openalex.org/W2135276756","https://openalex.org/W2146824712","https://openalex.org/W2149684865","https://openalex.org/W2154053567","https://openalex.org/W2159637323","https://openalex.org/W2167991996","https://openalex.org/W2435251607","https://openalex.org/W2595876599","https://openalex.org/W2799061466","https://openalex.org/W2951539267","https://openalex.org/W3099514962","https://openalex.org/W3120740533","https://openalex.org/W4205687621","https://openalex.org/W6631156306","https://openalex.org/W6639077117","https://openalex.org/W6676553272","https://openalex.org/W6682304300","https://openalex.org/W6717827561"],"related_works":["https://openalex.org/W2794812819","https://openalex.org/W2114217318","https://openalex.org/W2120164251","https://openalex.org/W2587881214","https://openalex.org/W2347434549","https://openalex.org/W3104072235","https://openalex.org/W1995622179","https://openalex.org/W2048680804","https://openalex.org/W2370263288","https://openalex.org/W1484111231"],"abstract_inverted_index":{"Neural":[0],"network":[1],"tree":[2],"(NNTree)":[3],"is":[4,94,112,134,157,178],"a":[5,135,146],"hybrid":[6],"model":[7],"for":[8,19,32,39,107,167],"machine":[9],"learning.":[10],"So":[11],"far,":[12],"we":[13,56,66,121],"have":[14,57,67],"proposed":[15],"an":[16],"efficient":[17,29],"algorithm":[18],"inducing":[20],"NNTrees,":[21],"and":[22,30,83,99,154],"verified":[23],"through":[24],"experiments":[25],"that":[26,92,173],"NNTrees":[27,46,61],"are":[28,142],"effective":[31],"solving":[33],"different":[34],"pattern":[35],"recognition":[36],"problems.":[37],"However,":[38],"problems":[40],"like":[41],"text":[42,170],"categorization,":[43],"induction":[44],"of":[45],"can":[47],"be":[48],"very":[49,113],"computationally":[50],"expensive.":[51],"To":[52,115],"solve":[53,116],"this":[54,124],"problem,":[55],"tried":[58],"to":[59,145],"induce":[60],"after":[62],"dimensionality":[63],"reduction.":[64],"Specifically,":[65],"studied":[68],"the":[69,76,84,104,109,117,126,152,155,161],"linear":[70],"discriminant":[71,127],"analysis":[72,79],"(LDA)":[73],"based":[74,81,88,150],"approach,":[75,82,137],"principal":[77],"component":[78],"(PCA)":[80],"direct":[85],"centroid":[86,129],"(DC)":[87],"approach.":[89,131],"Results":[90],"show":[91,172],"DC":[93],"simple":[95],"but":[96,103],"not":[97],"effective;":[98],"LDA":[100,156,182],"performs":[101],"better":[102],"computational":[105],"cost":[106],"finding":[108],"transformation":[110],"matrix":[111],"high.":[114],"problem":[118],"more":[119],"efficiently,":[120],"propose":[122],"in":[123,138,160,174],"paper":[125],"multiple":[128],"(DMC)":[130],"Actually,":[132],"DMC":[133,177],"two-stage":[136],"which":[139],"all":[140,175],"data":[141],"first":[143],"mapped":[144,162],"lower":[147],"dimensional":[148],"space":[149],"on":[151],"centroids,":[153],"then":[158],"conducted":[159],"space.":[163],"Experimental":[164],"results":[165],"obtained":[166],"three":[168],"public":[169],"datasets":[171],"cases":[176],"much":[179],"faster":[180],"than":[181],"without":[183],"significant":[184],"degradation.":[185]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}