{"id":"https://openalex.org/W2373229665","doi":null,"title":"Feature Selection via Immune Memory Clone","display_name":"Feature Selection via Immune Memory Clone","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W2373229665","mag":"2373229665"},"language":"en","primary_location":{"id":"mag:2373229665","doi":null,"is_oa":false,"landing_page_url":"https://en.cnki.com.cn/Article_en/CJFDTOTAL-XAJT200806008.htm","pdf_url":null,"source":{"id":"https://openalex.org/S2764925780","display_name":"Xi'an Jiaotong Daxue xuebao","issn_l":"0253-987X","issn":["0253-987X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["poland-20","russia-white-list-3"],"host_organization":"https://openalex.org/P4323283871","host_organization_name":"Tao Qing","host_organization_lineage":["https://openalex.org/P4323283871"],"host_organization_lineage_names":["Tao Qing"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Xi'an Jiaotong Daxue xuebao","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/A5050630882","display_name":"Licheng Jiao","orcid":"https://orcid.org/0000-0003-3354-9617","observed_orcids":["https://orcid.org/0000-0003-3354-9617"]},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Licheng Jiao","raw_affiliation_strings":["Institute of Intelligent Information Processing, Xidian University, Xi\u00bfan 710071, China"],"raw_orcid":"https://orcid.org/0000-0003-3354-9617","affiliations":[{"raw_affiliation_string":"Institute of Intelligent Information Processing, Xidian University, Xi\u00bfan 710071, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5050630882"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"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/T12391","display_name":"Artificial Immune Systems Applications","score":0.9994999766349792,"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/T12391","display_name":"Artificial Immune Systems Applications","score":0.9994999766349792,"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":0.00019999999494757503,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.0,"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/feature-selection","display_name":"feature selection","score":0.9990000128746033},{"id":"https://openalex.org/keywords/immune-algorithm","display_name":"immune algorithm","score":0.6439999938011169},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"dimensionality reduction","score":0.9079999923706055},{"id":"https://openalex.org/keywords/nearest-neighbor-classification","display_name":"nearest neighbor classification","score":0.8399999737739563},{"id":"https://openalex.org/keywords/leave-one-out-cross-validation","display_name":"leave-one-out cross-validation","score":0.9049999713897705},{"id":"https://openalex.org/keywords/fitness-function","display_name":"fitness function","score":0.8420000076293945},{"id":"https://openalex.org/keywords/high-dimensional-data","display_name":"high-dimensional data","score":0.7400000095367432},{"id":"https://openalex.org/keywords/classification-accuracy","display_name":"classification accuracy","score":0.5720000267028809}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6602526307106018},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6367793679237366},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6263188123703003},{"id":"https://openalex.org/C2776954793","wikidata":"https://www.wikidata.org/wiki/Q1150780","display_name":"Clonal selection","level":2,"score":0.6190145611763},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5641235709190369},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5039884448051453},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49175265431404114},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.48786044120788574},{"id":"https://openalex.org/C93768804","wikidata":"https://www.wikidata.org/wiki/Q2518735","display_name":"Artificial immune system","level":2,"score":0.46681639552116394},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.43299758434295654},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.413972407579422},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40126821398735046},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3411950469017029},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1598920226097107},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.06561705470085144},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C203014093","wikidata":"https://www.wikidata.org/wiki/Q101929","display_name":"Immunology","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2373229665","doi":null,"is_oa":false,"landing_page_url":"https://en.cnki.com.cn/Article_en/CJFDTOTAL-XAJT200806008.htm","pdf_url":null,"source":{"id":"https://openalex.org/S2764925780","display_name":"Xi'an Jiaotong Daxue xuebao","issn_l":"0253-987X","issn":["0253-987X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["poland-20","russia-white-list-3"],"host_organization":"https://openalex.org/P4323283871","host_organization_name":"Tao Qing","host_organization_lineage":["https://openalex.org/P4323283871"],"host_organization_lineage_names":["Tao Qing"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Xi'an Jiaotong Daxue xuebao","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2381904395","https://openalex.org/W2063275808","https://openalex.org/W2371423772","https://openalex.org/W2371859256","https://openalex.org/W2129949358","https://openalex.org/W4306803116","https://openalex.org/W1972218147","https://openalex.org/W1977405350","https://openalex.org/W2995632431","https://openalex.org/W2365605037"],"abstract_inverted_index":{"Focusing":[0],"on":[1,21,85],"the":[2,36,41,56,60,77,92,101],"problem":[3],"of":[4,70,110],"dimension":[5],"reduction":[6],"in":[7,108],"data":[8],"mining":[9],"and":[10,25,59,100,113],"pattern":[11],"recognition,a":[12],"novel":[13],"algorithm":[14,94,99,107],"for":[15,33,50,55],"feature":[16],"selection":[17,24],"was":[18],"proposed":[19,93],"based":[20],"antibody":[22,29,57],"clonal":[23],"immune":[26],"memory":[27,37,61],"principle(ICMFS).The":[28],"population":[30,58],"is":[31,48,73],"used":[32,64],"global":[34],"search,and":[35],"unit,which":[38],"only":[39],"reserves":[40],"best":[42],"individuals,with":[43],"embedded":[44],"local":[45],"search":[46,67,106],"operations":[47],"designed":[49],"fine-tune":[51],"search.Different":[52],"fitness":[53,69],"functions":[54],"unit":[62],"are":[63],"to":[65],"improve":[66],"performance.The":[68],"an":[71],"individual":[72],"determined":[74],"by":[75],"evaluating":[76],"nearest":[78],"neighbor":[79],"classifier":[80],"with":[81],"leave-one-out":[82],"cross-validation.Experiment":[83],"results":[84],"several":[86],"standard":[87],"high-dimension":[88],"datasets":[89],"show":[90],"that":[91],"outperforms":[95],"a":[96],"conventional":[97],"genetic":[98],"classical":[102],"sequential":[103],"floating":[104],"forward":[105],"terms":[109],"classification":[111],"accuracy":[112],"robustness.":[114]},"counts_by_year":[{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-10-10T17:16:08.811792","created_date":"2016-06-24T00:00:00"}
