{"id":"https://openalex.org/W625417018","doi":null,"title":"Evolutionary granular kernel machines","display_name":"Evolutionary granular kernel machines","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W625417018","mag":"625417018"},"language":"en","primary_location":{"id":"mag:625417018","doi":null,"is_oa":false,"landing_page_url":"https://scholarworks.gsu.edu/cgi/viewcontent.cgi?article=1014&context=cs_diss","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5100612105","display_name":"Yanqing Zhang","orcid":"https://orcid.org/0000-0003-2349-1925","observed_orcids":["https://orcid.org/0000-0003-2349-1925"]},"institutions":[{"id":"https://openalex.org/I181565077","display_name":"Georgia State University","ror":"https://ror.org/03qt6ba18","country_code":"US","type":"education","lineage":["https://openalex.org/I181565077"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yanqing Zhang","raw_affiliation_strings":["Georgia State University,"],"raw_orcid":"https://orcid.org/0000-0003-2349-1925","affiliations":[{"raw_affiliation_string":"Georgia State University,","institution_ids":["https://openalex.org/I181565077"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045821992","display_name":"Bo Jin","orcid":"https://orcid.org/0000-0001-9268-7134","observed_orcids":["https://orcid.org/0000-0001-9268-7134"]},"institutions":[{"id":"https://openalex.org/I181565077","display_name":"Georgia State University","ror":"https://ror.org/03qt6ba18","country_code":"US","type":"education","lineage":["https://openalex.org/I181565077"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bo Jin","raw_affiliation_strings":["Georgia State University,"],"raw_orcid":"https://orcid.org/0000-0001-9255-5772","affiliations":[{"raw_affiliation_string":"Georgia State University,","institution_ids":["https://openalex.org/I181565077"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I181565077"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.26269999146461487,"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":0.26269999146461487,"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/T12676","display_name":"Machine Learning and ELM","score":0.2206999957561493,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.1615000069141388,"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/support-vector-machine","display_name":"support vector machine","score":0.8040000200271606},{"id":"https://openalex.org/keywords/kernel-function-design","display_name":"kernel function design","score":0.8489999771118164},{"id":"https://openalex.org/keywords/granular-computing","display_name":"granular computing","score":0.8450000286102295},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"genetic algorithm","score":0.7310000061988831},{"id":"https://openalex.org/keywords/voting-scheme","display_name":"voting scheme","score":0.7770000100135803},{"id":"https://openalex.org/keywords/minimum-enclosing-ball","display_name":"minimum enclosing ball","score":0.847000002861023},{"id":"https://openalex.org/keywords/data-reduction","display_name":"data reduction","score":0.9409999847412109},{"id":"https://openalex.org/keywords/big-data-mining","display_name":"big data mining","score":0.8199999928474426},{"id":"https://openalex.org/keywords/nonlinear-classification","display_name":"nonlinear classification","score":0.6570000052452087}],"concepts":[{"id":"https://openalex.org/C140417398","wikidata":"https://www.wikidata.org/wiki/Q16933942","display_name":"Tree kernel","level":5,"score":0.7431739568710327},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.667137086391449},{"id":"https://openalex.org/C75866337","wikidata":"https://www.wikidata.org/wiki/Q7280263","display_name":"Radial basis function kernel","level":4,"score":0.6398476958274841},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6247179508209229},{"id":"https://openalex.org/C17209119","wikidata":"https://www.wikidata.org/wiki/Q5596712","display_name":"Granular computing","level":3,"score":0.623810887336731},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6094256639480591},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5803501605987549},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5612357258796692},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.5572578310966492},{"id":"https://openalex.org/C160446489","wikidata":"https://www.wikidata.org/wiki/Q7226642","display_name":"Polynomial kernel","level":4,"score":0.5437106490135193},{"id":"https://openalex.org/C55851704","wikidata":"https://www.wikidata.org/wiki/Q7623983","display_name":"String kernel","level":5,"score":0.4756562113761902},{"id":"https://openalex.org/C100595998","wikidata":"https://www.wikidata.org/wiki/Q11731931","display_name":"Graph kernel","level":5,"score":0.4523535370826721},{"id":"https://openalex.org/C134517425","wikidata":"https://www.wikidata.org/wiki/Q16000131","display_name":"Kernel embedding of distributions","level":4,"score":0.42154160141944885},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.268108993768692},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.11029499769210815},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:625417018","doi":null,"is_oa":false,"landing_page_url":"https://scholarworks.gsu.edu/cgi/viewcontent.cgi?article=1014&context=cs_diss","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":74,"referenced_works":["https://openalex.org/W98799986","https://openalex.org/W179694669","https://openalex.org/W200399331","https://openalex.org/W610608852","https://openalex.org/W1486401986","https://openalex.org/W1497256448","https://openalex.org/W1510073064","https://openalex.org/W1512098439","https://openalex.org/W1513108299","https://openalex.org/W1514875444","https://openalex.org/W1514940655","https://openalex.org/W1539150806","https://openalex.org/W1555269405","https://openalex.org/W1558584575","https://openalex.org/W1560373986","https://openalex.org/W1563088657","https://openalex.org/W1574496672","https://openalex.org/W1576213419","https://openalex.org/W1576818901","https://openalex.org/W1583975142","https://openalex.org/W1598777372","https://openalex.org/W1604293137","https://openalex.org/W1761010383","https://openalex.org/W1816257748","https://openalex.org/W1887038067","https://openalex.org/W1965059296","https://openalex.org/W1970088130","https://openalex.org/W1974166884","https://openalex.org/W1997355076","https://openalex.org/W1997748612","https://openalex.org/W2031127394","https://openalex.org/W2040870580","https://openalex.org/W2052608046","https://openalex.org/W2060931694","https://openalex.org/W2069231281","https://openalex.org/W2082988498","https://openalex.org/W2084812512","https://openalex.org/W2087347434","https://openalex.org/W2095885101","https://openalex.org/W2104128541","https://openalex.org/W2107425660","https://openalex.org/W2113584252","https://openalex.org/W2117990954","https://openalex.org/W2123873230","https://openalex.org/W2124470530","https://openalex.org/W2127554007","https://openalex.org/W2127713198","https://openalex.org/W2131479089","https://openalex.org/W2134954564","https://openalex.org/W2142183404","https://openalex.org/W2148603752","https://openalex.org/W2149706766","https://openalex.org/W2150773524","https://openalex.org/W2152523366","https://openalex.org/W2152761983","https://openalex.org/W2153635508","https://openalex.org/W2153676086","https://openalex.org/W2155319834","https://openalex.org/W2156909104","https://openalex.org/W2157239837","https://openalex.org/W2158001550","https://openalex.org/W2158078575","https://openalex.org/W2161713006","https://openalex.org/W2164096571","https://openalex.org/W2164654044","https://openalex.org/W2170700642","https://openalex.org/W2235047952","https://openalex.org/W2739265265","https://openalex.org/W2766736793","https://openalex.org/W2942804451","https://openalex.org/W3139831614","https://openalex.org/W3149025087","https://openalex.org/W4239510810","https://openalex.org/W4256451422"],"related_works":["https://openalex.org/W2164654044","https://openalex.org/W2103881565","https://openalex.org/W1997748612","https://openalex.org/W2051670755","https://openalex.org/W7100524759","https://openalex.org/W7100036201","https://openalex.org/W2012171998","https://openalex.org/W2390436149","https://openalex.org/W7098601655","https://openalex.org/W2606260356"],"abstract_inverted_index":{"Kernel":[0,90,101,115,185,214,218,225],"machines":[1],"such":[2],"as":[3],"Support":[4,237],"Vector":[5,238],"Machines":[6,186,239],"(SVMs)":[7],"have":[8],"been":[9],"widely":[10],"used":[11],"in":[12,74],"various":[13],"data":[14,150,158,203],"mining":[15],"applications":[16],"with":[17,66],"good":[18],"generalization":[19],"properties.":[20],"Performance":[21],"of":[22,36,45,68,113,132,202],"SVMs":[23,37,59,65,76,147],"for":[24],"solving":[25],"nonlinear":[26],"problems":[27,73],"is":[28,39,107,124,143,161,168],"highly":[29],"affected":[30],"by":[31],"kernel":[32,85,172],"functions.":[33],"The":[34],"complexity":[35],"training":[38,47,60,196],"mainly":[40],"related":[41],"to":[42,50,56,63,95,109,127,190],"the":[43,75,111,129],"size":[44],"a":[46,52,139,152,164],"dataset.":[48],"How":[49],"design":[51],"powerful":[53,82],"kernel,":[54],"how":[55,62],"speed":[57,135,194],"up":[58,136,195],"and":[61,83,163,198],"train":[64],"millions":[67],"examples":[69],"are":[70,93,174,188],"still":[71],"challenging":[72],"research.":[77],"\r\nFor":[78],"these":[79,171],"important":[80],"problems,":[81],"flexible":[84],"trees":[86],"called":[87],"Evolutionary":[88,183,212,216],"Granular":[89,100,114,178,184,213,217,222,224],"Trees":[91,116],"(EGKTs)":[92],"designed":[94,175],"incorporate":[96],"prior":[97,119],"domain":[98],"knowledge.":[99,120],"Tree":[102,226],"Structure":[103,227],"Evolving":[104,228],"System":[105],"(GKTSES)":[106],"developed":[108],"evolve":[110],"structures":[112],"(GKTs)":[117],"without":[118],"A":[121],"voting":[122],"scheme":[123],"also":[125],"proposed":[126],"reduce":[128],"prediction":[130],"deviation":[131],"GKTSES.":[133],"To":[134,145],"EGKTs":[137],"optimization,":[138],"master-slave":[140],"parallel":[141],"model":[142],"implemented.":[144],"help":[146],"challenge":[148],"large-scale":[149],"mining,":[151],"Minimum":[153,232],"Enclosing":[154,233],"Ball":[155],"(MEB)":[156],"based":[157,176],"reduction":[159],"method":[160],"presented,":[162],"new":[165],"MEB-SVM":[166],"algorithm":[167],"designed.":[169],"All":[170],"methods":[173],"on":[177],"Computing":[179],"(GrC).":[180],"In":[181],"general,":[182],"(EGKMs)":[187],"investigated":[189],"optimize":[191],"kernels":[192],"effectively,":[193],"greatly":[197],"mine":[199],"huge":[200],"amounts":[201],"efficiently.":[204],"\r\nIndex":[205],"words.":[206],"Bioinformatics,":[207],"Computational":[208],"Intelligence,":[209],"Data":[210],"Mining,":[211],"Machines,":[215],"Trees,":[219],"Genetic":[220],"Algorithms,":[221],"Computing,":[223],"System,":[229],"Machine":[230],"Learning,":[231,236],"Ball,":[234],"Statistical":[235]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}
