{"id":"https://openalex.org/W1975453640","doi":"https://doi.org/10.1145/2381716.2381802","title":"Rough-FS","display_name":"Rough-FS","publication_year":2012,"publication_date":"2012-09-03","ids":{"openalex":"https://openalex.org/W1975453640","doi":"https://doi.org/10.1145/2381716.2381802","mag":"1975453640"},"language":"en","primary_location":{"id":"doi:10.1145/2381716.2381802","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2381716.2381802","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the CUBE International Information Technology Conference","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/A5046653615","display_name":"Rashmi Rekha Sahoo","orcid":"https://orcid.org/0000-0002-1265-6221"},"institutions":[{"id":"https://openalex.org/I193073490","display_name":"Siksha O Anusandhan University","ror":"https://ror.org/056ep7w45","country_code":"IN","type":"education","lineage":["https://openalex.org/I193073490"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Rashmi Rekha Sahoo","raw_affiliation_strings":["Siksha O Anusandhan University, Bhubaneswar, Odisha, India","Siksha O Anusandhan University, Bhubaneswar, Odisha, India#TAB#"],"affiliations":[{"raw_affiliation_string":"Siksha O Anusandhan University, Bhubaneswar, Odisha, India","institution_ids":["https://openalex.org/I193073490"]},{"raw_affiliation_string":"Siksha O Anusandhan University, Bhubaneswar, Odisha, India#TAB#","institution_ids":["https://openalex.org/I193073490"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101724644","display_name":"Smita Mishra","orcid":"https://orcid.org/0000-0003-2624-3708"},"institutions":[{"id":"https://openalex.org/I193073490","display_name":"Siksha O Anusandhan University","ror":"https://ror.org/056ep7w45","country_code":"IN","type":"education","lineage":["https://openalex.org/I193073490"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Smita Prava Mishra","raw_affiliation_strings":["Siksha O Anusandhan University, Bhubaneswar, Odisha, India","Siksha O Anusandhan University, Bhubaneswar, Odisha, India#TAB#"],"affiliations":[{"raw_affiliation_string":"Siksha O Anusandhan University, Bhubaneswar, Odisha, India","institution_ids":["https://openalex.org/I193073490"]},{"raw_affiliation_string":"Siksha O Anusandhan University, Bhubaneswar, Odisha, India#TAB#","institution_ids":["https://openalex.org/I193073490"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060243836","display_name":"Debahuti Mishra","orcid":"https://orcid.org/0000-0002-9847-1411"},"institutions":[{"id":"https://openalex.org/I193073490","display_name":"Siksha O Anusandhan University","ror":"https://ror.org/056ep7w45","country_code":"IN","type":"education","lineage":["https://openalex.org/I193073490"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Debahuti Mishra","raw_affiliation_strings":["Siksha O Anusandhan University, Bhubaneswar, Odisha, India","Siksha O Anusandhan University, Bhubaneswar, Odisha, India#TAB#"],"affiliations":[{"raw_affiliation_string":"Siksha O Anusandhan University, Bhubaneswar, Odisha, India","institution_ids":["https://openalex.org/I193073490"]},{"raw_affiliation_string":"Siksha O Anusandhan University, Bhubaneswar, Odisha, India#TAB#","institution_ids":["https://openalex.org/I193073490"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5046653615"],"corresponding_institution_ids":["https://openalex.org/I193073490"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06408728,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"453","last_page":"458"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9975000023841858,"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":0.9975000023841858,"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/T10885","display_name":"Gene expression and cancer classification","score":0.9664000272750854,"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":0.9585000276565552,"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/rough-set","display_name":"Rough set","score":0.7632737755775452},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7604309320449829},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.633838415145874},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6100696921348572},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5813357830047607},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5661471486091614},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5645768046379089},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4803101420402527},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4625617265701294},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44175416231155396},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.41943567991256714},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20453113317489624}],"concepts":[{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.7632737755775452},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7604309320449829},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.633838415145874},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6100696921348572},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5813357830047607},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5661471486091614},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5645768046379089},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4803101420402527},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4625617265701294},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44175416231155396},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.41943567991256714},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20453113317489624},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2381716.2381802","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2381716.2381802","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the CUBE International Information Technology Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W153053551","https://openalex.org/W256302689","https://openalex.org/W1030501565","https://openalex.org/W1605308969","https://openalex.org/W1993948353","https://openalex.org/W2136255500","https://openalex.org/W2144429146","https://openalex.org/W2148605460","https://openalex.org/W2162711978","https://openalex.org/W2345010723","https://openalex.org/W2541052012","https://openalex.org/W3045089510","https://openalex.org/W3142055486","https://openalex.org/W3151070811"],"related_works":["https://openalex.org/W2392963705","https://openalex.org/W2382278777","https://openalex.org/W2107349454","https://openalex.org/W2353240132","https://openalex.org/W1964260090","https://openalex.org/W2375932290","https://openalex.org/W1486178390","https://openalex.org/W138553499","https://openalex.org/W2167403502","https://openalex.org/W20047544"],"abstract_inverted_index":{"Feature":[0,28],"selection":[1,29,72,128],"is":[2,30,66],"a":[3,7,31,46,49,67,94,133,172],"process":[4],"to":[5,34,44,87],"select":[6],"subset":[8],"of":[9,23,142,151,158,178],"required":[10],"features":[11,91,150],"which":[12,73],"has":[13,84,129,136,161],"the":[14,24,81,85,89,122,140,143,149,152,155,176],"same":[15,18],"or":[16],"nearly":[17],"predictive":[19],"capability":[20,86,157],"as":[21,40],"that":[22],"original":[25],"feature":[26,71,119,127],"set.":[27],"necessary":[32],"task":[33],"be":[35],"accomplished":[36],"before":[37,145],"classification":[38],"process,":[39],"it":[41],"becomes":[42],"difficult":[43],"train":[45],"classifier":[47],"for":[48,70,118],"data":[50,97,114,168,173],"set":[51,98,125,169,174],"having":[52,99],"high":[53,95,110],"dimension":[54],"(features)":[55],"and":[56,103,132,146],"hence,":[57],"cannot":[58],"give":[59],"optimum":[60],"result.":[61],"Rough":[62],"Set":[63],"Theory":[64],"(RST)":[65],"mathematical":[68],"approach":[69],"does":[74],"not":[75],"require":[76],"any":[77],"additional":[78],"information":[79],"about":[80],"data.":[82,153],"It":[83],"extract":[88],"relevant":[90],"smoothly":[92],"from":[93,175],"dimensional":[96,111],"noise,":[100],"imprecise,":[101],"vague":[102],"redundant":[104],"information.":[105],"In":[106],"this":[107,159],"paper,":[108],"different":[109],"gene":[112,166],"expression":[113,167],"sets":[115],"are":[116],"used":[117],"selection.":[120],"Using":[121],"proposed":[123],"rough":[124],"algorithm,":[126],"been":[130,137,162],"done":[131,138],"comparative":[134],"study":[135],"on":[139],"accuracies":[141],"classifiers":[144],"after":[147],"reducing":[148],"Also":[154],"generalization":[156],"algorithm":[160],"shown":[163],"by":[164],"taking":[165],"along":[170],"with":[171],"area":[177],"physics.":[179]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}
