{"id":"https://openalex.org/W3138440964","doi":"https://doi.org/10.1515/comp-2020-0169","title":"Fuzzy Rank Based Parallel Online Feature Selection Method using Multiple Sliding Windows","display_name":"Fuzzy Rank Based Parallel Online Feature Selection Method using Multiple Sliding Windows","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3138440964","doi":"https://doi.org/10.1515/comp-2020-0169","mag":"3138440964"},"language":"en","primary_location":{"id":"doi:10.1515/comp-2020-0169","is_oa":true,"landing_page_url":"https://doi.org/10.1515/comp-2020-0169","pdf_url":"https://www.degruyter.com/document/doi/10.1515/comp-2020-0169/pdf","source":{"id":"https://openalex.org/S4210177004","display_name":"Open Computer Science","issn_l":"2299-1093","issn":["2299-1093"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310313990","host_organization_name":"De Gruyter","host_organization_lineage":["https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Open Computer Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.degruyter.com/document/doi/10.1515/comp-2020-0169/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064318679","display_name":"B. Venkatesh","orcid":null},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"B. Venkatesh","raw_affiliation_strings":["SCOPE, Vellore Institute of Technology , Vellore , India"],"affiliations":[{"raw_affiliation_string":"SCOPE, Vellore Institute of Technology , Vellore , India","institution_ids":["https://openalex.org/I876193797"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015960177","display_name":"J. Anuradha","orcid":null},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"J. Anuradha","raw_affiliation_strings":["SCOPE, Vellore Institute of Technology , Vellore , India"],"affiliations":[{"raw_affiliation_string":"SCOPE, Vellore Institute of Technology , Vellore , India","institution_ids":["https://openalex.org/I876193797"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5015960177"],"corresponding_institution_ids":["https://openalex.org/I876193797"],"apc_list":{"value":1000,"currency":"EUR","value_usd":1078},"apc_paid":{"value":1000,"currency":"EUR","value_usd":1078},"fwci":0.8646,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.74870915,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"11","issue":"1","first_page":"275","last_page":"287"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.991100013256073,"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":0.991100013256073,"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/T12391","display_name":"Artificial Immune Systems Applications","score":0.9729999899864197,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9628000259399414,"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":0.8226398229598999},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7851448059082031},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6187248229980469},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6065844893455505},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5983965396881104},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5723301768302917},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5449392795562744},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5444347858428955},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4513087868690491},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42798054218292236},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.4246862232685089}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.8226398229598999},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7851448059082031},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6187248229980469},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6065844893455505},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5983965396881104},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5723301768302917},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5449392795562744},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5444347858428955},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4513087868690491},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42798054218292236},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.4246862232685089},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1515/comp-2020-0169","is_oa":true,"landing_page_url":"https://doi.org/10.1515/comp-2020-0169","pdf_url":"https://www.degruyter.com/document/doi/10.1515/comp-2020-0169/pdf","source":{"id":"https://openalex.org/S4210177004","display_name":"Open Computer Science","issn_l":"2299-1093","issn":["2299-1093"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310313990","host_organization_name":"De Gruyter","host_organization_lineage":["https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Open Computer Science","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:109531772ebe4dfcb88365932eabeed9","is_oa":true,"landing_page_url":"https://doaj.org/article/109531772ebe4dfcb88365932eabeed9","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Open Computer Science, Vol 11, Iss 1, Pp 275-287 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1515/comp-2020-0169","is_oa":true,"landing_page_url":"https://doi.org/10.1515/comp-2020-0169","pdf_url":"https://www.degruyter.com/document/doi/10.1515/comp-2020-0169/pdf","source":{"id":"https://openalex.org/S4210177004","display_name":"Open Computer Science","issn_l":"2299-1093","issn":["2299-1093"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310313990","host_organization_name":"De Gruyter","host_organization_lineage":["https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Open Computer Science","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.7200000286102295,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3138440964.pdf","grobid_xml":"https://content.openalex.org/works/W3138440964.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W1514332043","https://openalex.org/W1612277053","https://openalex.org/W1887132526","https://openalex.org/W1949281989","https://openalex.org/W2024082504","https://openalex.org/W2066305262","https://openalex.org/W2098655938","https://openalex.org/W2109306884","https://openalex.org/W2113890143","https://openalex.org/W2131987814","https://openalex.org/W2136051823","https://openalex.org/W2154053567","https://openalex.org/W2158830116","https://openalex.org/W2175099382","https://openalex.org/W2217891008","https://openalex.org/W2239274184","https://openalex.org/W2257550357","https://openalex.org/W2298365720","https://openalex.org/W2475596014","https://openalex.org/W2520932862","https://openalex.org/W2563603481","https://openalex.org/W2743621318","https://openalex.org/W2749896022","https://openalex.org/W2752162157","https://openalex.org/W2786375215","https://openalex.org/W2907797381","https://openalex.org/W2907868678","https://openalex.org/W2911681169","https://openalex.org/W2913856343","https://openalex.org/W2925507233","https://openalex.org/W2963647909","https://openalex.org/W2991307025","https://openalex.org/W2993599763","https://openalex.org/W3100535899","https://openalex.org/W3123843200","https://openalex.org/W4235043468","https://openalex.org/W4249247926"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W4246352526","https://openalex.org/W2951187577","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"Abstract":[0],"Nowadays,":[1],"in":[2],"real-world":[3],"applications,":[4],"the":[5,13,35,92,103,107,116,119,136,158,165,177,193,196],"dimensions":[6],"of":[7,55,94,106,118,176,195],"data":[8],"are":[9,19,131,149],"generated":[10],"dynamically,":[11],"and":[12,48,51,72,85,89,127,133,179,190],"traditional":[14],"batch":[15],"feature":[16,28,66,75,98,122,139,187],"selection":[17,29,67,76,99,123,140,188],"methods":[18,30,37,189],"not":[20],"suitable":[21],"for":[22,81,154,174],"streaming":[23,27,97,186],"data.":[24],"So,":[25],"online":[26,65,96,121,138,185],"gained":[31],"more":[32,170],"attention":[33],"but":[34],"existing":[36,95,184,197],"had":[38],"demerits":[39],"like":[40,144],"low":[41],"classification":[42],"accuracy,":[43],"fails":[44],"to":[45],"avoid":[46],"redundant":[47,84],"irrelevant":[49],"features,":[50,88],"a":[52,63],"higher":[53],"number":[54],"features":[56],"selected.":[57],"In":[58],"this":[59],"paper,":[60],"we":[61],"propose":[62],"parallel":[64,110],"method":[68,109,124,167],"using":[69],"multiple":[70],"sliding-windows":[71],"fuzzy":[73],"fast-mRMR":[74],"analysis,":[77,160],"which":[78],"is":[79,112,162],"used":[80,132,150],"selecting":[82],"minimum":[83],"maximum":[86],"relevant":[87],"also":[90],"overcomes":[91,192],"drawbacks":[93,194],"methods.":[100,141,198],"To":[101,114],"increase":[102],"performance":[104,117,155],"speed":[105],"proposed":[108,120,166],"processing":[111],"used.":[113],"evaluate":[115],"k-NN,":[125],"SVM,":[126],"Decision":[128],"Tree":[129],"Classifiers":[130],"compared":[134],"against":[135],"state-of-the-art":[137],"Evaluation":[142],"metrics":[143],"Accuracy,":[145],"Precision,":[146],"Recall,":[147],"F1-Score":[148],"on":[151],"benchmark":[152],"datasets":[153,178],"analysis.":[156],"From":[157],"experimental":[159],"it":[161],"proved":[163],"that":[164],"has":[168],"achieved":[169],"than":[171],"95%":[172],"accuracy":[173],"most":[175],"performs":[180],"well":[181],"over":[182],"other":[183],"also,":[191]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}