{"id":"https://openalex.org/W3092051759","doi":"https://doi.org/10.1109/tnnls.2020.3025922","title":"Feature Interaction for Streaming Feature Selection","display_name":"Feature Interaction for Streaming Feature Selection","publication_year":2020,"publication_date":"2020-10-06","ids":{"openalex":"https://openalex.org/W3092051759","doi":"https://doi.org/10.1109/tnnls.2020.3025922","mag":"3092051759","pmid":"https://pubmed.ncbi.nlm.nih.gov/33021946"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2020.3025922","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2020.3025922","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5101424705","display_name":"Peng Zhou","orcid":"https://orcid.org/0000-0002-3607-0022"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Peng Zhou","raw_affiliation_strings":["Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Computer Science and Technology, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100371517","display_name":"Peipei Li","orcid":"https://orcid.org/0000-0001-9142-448X"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peipei Li","raw_affiliation_strings":["Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100661274","display_name":"Shu Zhao","orcid":"https://orcid.org/0000-0001-7647-3603"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shu Zhao","raw_affiliation_strings":["Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Computer Science and Technology, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080738591","display_name":"Xindong Wu","orcid":"https://orcid.org/0000-0003-2396-1704"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xindong Wu","raw_affiliation_strings":["Key Laboratory of Knowledge Engineering with Big Data, Ministry of Education, Hefei University of Technology, Hefei, China","Mininglamp Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Engineering with Big Data, Ministry of Education, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]},{"raw_affiliation_string":"Mininglamp Academy of Sciences, Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101424705"],"corresponding_institution_ids":["https://openalex.org/I143868143"],"apc_list":null,"apc_paid":null,"fwci":5.102,"has_fulltext":false,"cited_by_count":106,"citation_normalized_percentile":{"value":0.96472739,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"32","issue":"10","first_page":"4691","last_page":"4702"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9980000257492065,"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"}},"topics":[{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9980000257492065,"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/T10885","display_name":"Gene expression and cancer classification","score":0.9977999925613403,"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":0.9872000217437744,"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","display_name":"Feature (linguistics)","score":0.8346781730651855},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.8255111575126648},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6844308376312256},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5927057266235352},{"id":"https://openalex.org/keywords/minimum-redundancy-feature-selection","display_name":"Minimum redundancy feature selection","score":0.5717257261276245},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5077613592147827},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46544110774993896},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4468647837638855},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3421148359775543}],"concepts":[{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.8346781730651855},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.8255111575126648},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6844308376312256},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5927057266235352},{"id":"https://openalex.org/C16811321","wikidata":"https://www.wikidata.org/wiki/Q17138905","display_name":"Minimum redundancy feature selection","level":3,"score":0.5717257261276245},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5077613592147827},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46544110774993896},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4468647837638855},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3421148359775543},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2020.3025922","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2020.3025922","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:33021946","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33021946","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1031907543","display_name":null,"funder_award_id":"61976077","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1644227852","display_name":null,"funder_award_id":"61673152","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4070433210","display_name":null,"funder_award_id":"61906056","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5817035371","display_name":null,"funder_award_id":"61876206","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7447526626","display_name":null,"funder_award_id":"2016YFB1000901","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8438744581","display_name":null,"funder_award_id":"61876001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W140777655","https://openalex.org/W1500895378","https://openalex.org/W1516560083","https://openalex.org/W1565746575","https://openalex.org/W1612277053","https://openalex.org/W1619226191","https://openalex.org/W1829443747","https://openalex.org/W1887132526","https://openalex.org/W1983150145","https://openalex.org/W1996178798","https://openalex.org/W2017337590","https://openalex.org/W2024082504","https://openalex.org/W2040263621","https://openalex.org/W2066305262","https://openalex.org/W2078093994","https://openalex.org/W2110655391","https://openalex.org/W2118561568","https://openalex.org/W2135046866","https://openalex.org/W2136051823","https://openalex.org/W2153338628","https://openalex.org/W2154053567","https://openalex.org/W2155648952","https://openalex.org/W2156571267","https://openalex.org/W2158714988","https://openalex.org/W2158830116","https://openalex.org/W2175099382","https://openalex.org/W2257550357","https://openalex.org/W2343420905","https://openalex.org/W2526675711","https://openalex.org/W2699869760","https://openalex.org/W2732347010","https://openalex.org/W2749896022","https://openalex.org/W2752162157","https://openalex.org/W2761905849","https://openalex.org/W2769023607","https://openalex.org/W2890693049","https://openalex.org/W2907868678","https://openalex.org/W2932421136","https://openalex.org/W2963647909","https://openalex.org/W2963951026","https://openalex.org/W3097993951","https://openalex.org/W3100535899","https://openalex.org/W3105524694","https://openalex.org/W4289236186","https://openalex.org/W6637461618","https://openalex.org/W6639167513","https://openalex.org/W6682926446"],"related_works":["https://openalex.org/W2156571267","https://openalex.org/W2998727463","https://openalex.org/W2805829984","https://openalex.org/W4388573469","https://openalex.org/W3135058836","https://openalex.org/W4249305026","https://openalex.org/W2883787619","https://openalex.org/W2940071312","https://openalex.org/W2290248771","https://openalex.org/W2952668426"],"abstract_inverted_index":{"Traditional":[0],"feature":[1,35,63,87,142,167,170,177,202,222,226,236,239],"selection":[2,64,143,178],"methods":[3,65,144],"assume":[4],"that":[5,25,45,180,212],"all":[6],"data":[7,32,248],"instances":[8],"and":[9,70,73,172,223,231,238],"features":[10,44,72,121,146,183],"are":[11,27,41],"known":[12],"before":[13],"learning.":[14],"However,":[15],"it":[16,100,149],"is":[17,101,150],"not":[18],"the":[19,54,75,82,93,113,119,124,132,139,154,164,198,215,219,224,233,251],"case":[20],"in":[21,47,169],"many":[22],"real-world":[23,246],"applications":[24],"we":[26,161,204,229],"more":[28],"likely":[29],"faced":[30],"with":[31,92,103,112,186],"streams":[33,36,40,171],"or":[34,37],"both.":[38],"Feature":[39,191,194],"defined":[42],"as":[43,127],"flow":[46],"one":[48,50],"by":[49,96],"over":[51],"time,":[52],"whereas":[53],"number":[55],"of":[56,134,138,166,201,253],"training":[57],"examples":[58],"remains":[59],"fixed.":[60],"Existing":[61],"streaming":[62,141,176],"focus":[66,162],"on":[67,163,244],"removing":[68],"irrelevant":[69],"redundant":[71],"selecting":[74],"most":[76,137],"relevant":[77],"features,":[78,106],"but":[79,148],"they":[80,107],"ignore":[81],"interaction":[83,155,168,210,216],"between":[84,156,218,235],"features.":[85,157],"A":[86],"might":[88],"have":[89],"little":[90],"correlation":[91],"target":[94,114,125],"concept":[95,126],"itself,":[97],"but,":[98],"when":[99],"combined":[102],"some":[104],"other":[105,117],"can":[108,181,213],"be":[109],"strongly":[110],"correlated":[111],"concept.":[115],"In":[116,158],"words,":[118],"interactive":[120],"contribute":[122],"to":[123,152,184],"an":[128],"integer":[129],"greater":[130],"than":[131],"sum":[133],"individuals.":[135],"Nevertheless,":[136],"existing":[140],"treat":[145],"individually,":[147],"necessary":[151],"consider":[153],"this":[159],"article,":[160],"problem":[165],"propose":[173],"a":[174,206],"new":[175,207,220,255],"method":[179],"select":[182],"interact":[185],"each":[187],"other,":[188],"named":[189,209],"Streaming":[190],"Selection":[192],"considering":[193],"Interaction":[195],"(SFS-FI).":[196],"With":[197],"formal":[199],"definition":[200],"interaction,":[203],"design":[205],"metric":[208],"gain":[211],"measure":[214],"degree":[217],"arriving":[221],"selected":[225],"subset.":[227],"Besides,":[228],"analyzed":[230],"demonstrated":[232],"relationship":[234],"relevance":[237],"interaction.":[240],"Extensive":[241],"experiments":[242],"conducted":[243],"14":[245],"microarray":[247],"sets":[249],"indicate":[250],"efficiency":[252],"our":[254],"method.":[256]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":29},{"year":2024,"cited_by_count":23},{"year":2023,"cited_by_count":25},{"year":2022,"cited_by_count":20},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}