{"id":"https://openalex.org/W2811239542","doi":"https://doi.org/10.1109/fskd.2017.8393001","title":"A hybrid data gravitation based classification algorithm applied to gene expression data","display_name":"A hybrid data gravitation based classification algorithm applied to gene expression data","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2811239542","doi":"https://doi.org/10.1109/fskd.2017.8393001","mag":"2811239542"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2017.8393001","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2017.8393001","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","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/A5012456515","display_name":"Wei\u2010Chang Yeh","orcid":"https://orcid.org/0000-0001-7393-0768"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Wei-Chang Yeh","raw_affiliation_strings":["Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008536555","display_name":"Yen-Chin Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yen-Chin Lee","raw_affiliation_strings":["Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010702584","display_name":"Chyh-Ming Lai","orcid":"https://orcid.org/0000-0002-6087-7483"},"institutions":[{"id":"https://openalex.org/I4210094862","display_name":"National Defense University","ror":"https://ror.org/00hkj1v53","country_code":"TW","type":"education","lineage":["https://openalex.org/I4210094862"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chyh-Ming Lai","raw_affiliation_strings":["Management College, National Defense University, Taiwan"],"affiliations":[{"raw_affiliation_string":"Management College, National Defense University, Taiwan","institution_ids":["https://openalex.org/I4210094862"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049461138","display_name":"Yan-Chih Shih","orcid":null},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yan-Chih Shih","raw_affiliation_strings":["Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046622382","display_name":"Hsin\u2013Ping Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210121532","display_name":"Ministry of Health and Welfare","ror":"https://ror.org/024w0ge69","country_code":"TW","type":"government","lineage":["https://openalex.org/I4210121532","https://openalex.org/I4405257903"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hsin-Ping Huang","raw_affiliation_strings":["Taoyuan General Hospital Ministry of Health and Welfare, Taiwan"],"affiliations":[{"raw_affiliation_string":"Taoyuan General Hospital Ministry of Health and Welfare, Taiwan","institution_ids":["https://openalex.org/I4210121532"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021222681","display_name":"Yunzhi Jiang","orcid":"https://orcid.org/0000-0001-5373-521X"},"institutions":[{"id":"https://openalex.org/I4210122543","display_name":"Guangdong Polytechnic Normal University","ror":"https://ror.org/02pcb5m77","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210122543"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunzhi Jiang","raw_affiliation_strings":["School of Mathematics and Systems Science, Guangdong Polytechnic Normal University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Systems Science, Guangdong Polytechnic Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I4210122543"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5012456515"],"corresponding_institution_ids":["https://openalex.org/I25846049"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.23668766,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"13","issue":null,"first_page":"1580","last_page":"1585"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9991999864578247,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9991999864578247,"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/T10885","display_name":"Gene expression and cancer classification","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9983999729156494,"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/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.6588197946548462},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6410300731658936},{"id":"https://openalex.org/keywords/data-classification","display_name":"Data classification","score":0.569420576095581},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5404016375541687},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.537966251373291},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4499706029891968},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4379521608352661},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4351046085357666},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4010407328605652},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.353268027305603}],"concepts":[{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.6588197946548462},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6410300731658936},{"id":"https://openalex.org/C2780724565","wikidata":"https://www.wikidata.org/wiki/Q5227256","display_name":"Data classification","level":2,"score":0.569420576095581},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5404016375541687},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.537966251373291},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4499706029891968},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4379521608352661},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4351046085357666},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4010407328605652},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.353268027305603},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2017.8393001","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2017.8393001","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","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":35,"referenced_works":["https://openalex.org/W2169610","https://openalex.org/W1491070134","https://openalex.org/W1496351645","https://openalex.org/W1520812622","https://openalex.org/W1602492977","https://openalex.org/W1604938182","https://openalex.org/W1981300217","https://openalex.org/W1989789052","https://openalex.org/W1997582113","https://openalex.org/W2004081857","https://openalex.org/W2021451086","https://openalex.org/W2022441134","https://openalex.org/W2025886727","https://openalex.org/W2040661907","https://openalex.org/W2045875044","https://openalex.org/W2077820589","https://openalex.org/W2080713905","https://openalex.org/W2082938666","https://openalex.org/W2091012673","https://openalex.org/W2108728387","https://openalex.org/W2109363337","https://openalex.org/W2115358726","https://openalex.org/W2119456790","https://openalex.org/W2122111042","https://openalex.org/W2132376145","https://openalex.org/W2155461849","https://openalex.org/W2164568552","https://openalex.org/W2171277043","https://openalex.org/W2172000360","https://openalex.org/W2402846924","https://openalex.org/W3140035361","https://openalex.org/W6600089577","https://openalex.org/W6629795872","https://openalex.org/W6682642761","https://openalex.org/W6682744373"],"related_works":["https://openalex.org/W4296209631","https://openalex.org/W2561617217","https://openalex.org/W3097449145","https://openalex.org/W4294811468","https://openalex.org/W2355801475","https://openalex.org/W106004901","https://openalex.org/W2170062176","https://openalex.org/W195542429","https://openalex.org/W4322731620","https://openalex.org/W2900292107"],"abstract_inverted_index":{"Gene":[0,95],"expression":[1,61,96,143,172],"data":[2,35,62,97,173],"classification":[3,33,38,47,63,98,174],"problem":[4,19],"has":[5],"caught":[6],"many":[7,45],"researchers'":[8],"attention":[9],"in":[10,17,26,44],"recent":[11],"years.":[12],"The":[13],"main":[14],"challenge":[15],"mentioned":[16],"such":[18],"is":[20,51,168],"to":[21,57,106,123,147],"overcome":[22],"the":[23,27,70,88,125,133,136,149,152],"high":[24],"dimensionality":[25],"limited":[28],"sample":[29],"sizes.":[30],"A":[31],"novel":[32],"algorithm,":[34],"gravitation":[36],"based":[37,86],"model":[39,91],"(DGC),":[40],"shows":[41],"significant":[42],"performance":[43,134,150],"general":[46],"problems.":[48,175],"Also,":[49],"there":[50],"an":[52],"important":[53],"character":[54],"of":[55,72,135,151],"DGC":[56,90,116],"deal":[58],"with":[59,160],"gene":[60,142,171],"problem,":[64],"feature":[65,74,126],"weighing":[66],"procedure":[67],"which":[68],"measures":[69],"importance":[71],"a":[73,83,104,139],"by":[75],"applying":[76],"weight.":[77],"In":[78],"this":[79],"study,":[80],"we":[81],"design":[82],"hybrid":[84],"classifier":[85],"on":[87],"basic":[89],"namely":[92],"ADGC":[93,167],"for":[94,128,170],"problem.":[99],"We":[100],"use":[101],"ANOVA":[102],"as":[103],"filter":[105],"quickly":[107],"decrease":[108],"irrelevant,":[109],"redundant":[110],"and":[111,117,155],"nuisance":[112],"genes":[113],"before":[114],"apply":[115],"improved":[118],"simplified":[119],"swarm":[120],"optimization":[121],"algorithm":[122],"optimize":[124],"weight":[127],"DGC.":[129],"To":[130],"practically":[131],"evaluate":[132],"proposed":[137,153],"method,":[138,154],"total":[140],"ten":[141],"datasets":[144],"are":[145,158],"used":[146],"test":[148],"corresponding":[156],"results":[157,164],"compared":[159],"up-to-date":[161],"works.":[162],"Experimental":[163],"present":[165],"that":[166],"effective":[169]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}