{"id":"https://openalex.org/W4205175456","doi":"https://doi.org/10.1145/3484824.3484881","title":"Feature Selection","display_name":"Feature Selection","publication_year":2021,"publication_date":"2021-08-09","ids":{"openalex":"https://openalex.org/W4205175456","doi":"https://doi.org/10.1145/3484824.3484881"},"language":"en","primary_location":{"id":"doi:10.1145/3484824.3484881","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3484824.3484881","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Data Science, Machine Learning and Artificial Intelligence","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/A5065931246","display_name":"Seema R. Chaudhary","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Seema Chaudhary","raw_affiliation_strings":["Dept of CSE, Maharashtra Inst. Of Technology, Aurangabad, Maharashtra, India"],"affiliations":[{"raw_affiliation_string":"Dept of CSE, Maharashtra Inst. Of Technology, Aurangabad, Maharashtra, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012032869","display_name":"Sangeeta Kakarwal","orcid":"https://orcid.org/0000-0003-4828-5247"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sangeeta Kakarwal","raw_affiliation_strings":["Dept. of CSE, PES College of Engineering, Aurangabad, Maharashtra, India"],"affiliations":[{"raw_affiliation_string":"Dept. of CSE, PES College of Engineering, Aurangabad, Maharashtra, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009169618","display_name":"Chitra Gaikwad","orcid":null},"institutions":[{"id":"https://openalex.org/I4210154211","display_name":"Government Medical College","ror":"https://ror.org/05kn6fr85","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210154211"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Chitra Gaikwad","raw_affiliation_strings":["Dept. of IT, Govt. College of Engineering, Aurangabad, Maharashtra, India"],"affiliations":[{"raw_affiliation_string":"Dept. of IT, Govt. College of Engineering, Aurangabad, Maharashtra, India","institution_ids":["https://openalex.org/I4210154211"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5065931246"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.17924273,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"136","last_page":"139"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11309","display_name":"Music and Audio Processing","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10860","display_name":"Speech and Audio Processing","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11349","display_name":"Music Technology and Sound Studies","score":0.9887999892234802,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7859773635864258},{"id":"https://openalex.org/keywords/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.6580600738525391},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6572961807250977},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6520430445671082},{"id":"https://openalex.org/keywords/music-information-retrieval","display_name":"Music information retrieval","score":0.6283539533615112},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.611637532711029},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5783956050872803},{"id":"https://openalex.org/keywords/audio-signal","display_name":"Audio signal","score":0.5694684982299805},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.50687175989151},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.49019867181777954},{"id":"https://openalex.org/keywords/audio-signal-processing","display_name":"Audio signal processing","score":0.4453660547733307},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4095991849899292},{"id":"https://openalex.org/keywords/musical","display_name":"Musical","score":0.13838261365890503},{"id":"https://openalex.org/keywords/speech-coding","display_name":"Speech coding","score":0.11468079686164856}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7859773635864258},{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.6580600738525391},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6572961807250977},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6520430445671082},{"id":"https://openalex.org/C2777946086","wikidata":"https://www.wikidata.org/wiki/Q1163335","display_name":"Music information retrieval","level":3,"score":0.6283539533615112},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.611637532711029},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5783956050872803},{"id":"https://openalex.org/C64922751","wikidata":"https://www.wikidata.org/wiki/Q4650799","display_name":"Audio signal","level":3,"score":0.5694684982299805},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.50687175989151},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.49019867181777954},{"id":"https://openalex.org/C127220857","wikidata":"https://www.wikidata.org/wiki/Q2719318","display_name":"Audio signal processing","level":4,"score":0.4453660547733307},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4095991849899292},{"id":"https://openalex.org/C558565934","wikidata":"https://www.wikidata.org/wiki/Q2743","display_name":"Musical","level":2,"score":0.13838261365890503},{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.11468079686164856},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3484824.3484881","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3484824.3484881","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Data Science, Machine Learning and Artificial Intelligence","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":13,"referenced_works":["https://openalex.org/W1517228774","https://openalex.org/W1990798644","https://openalex.org/W2099884867","https://openalex.org/W2117411929","https://openalex.org/W2780266336","https://openalex.org/W2922275291","https://openalex.org/W2945495424","https://openalex.org/W3012195153","https://openalex.org/W3047868560","https://openalex.org/W3118525371","https://openalex.org/W4231830031","https://openalex.org/W4254373586","https://openalex.org/W4288400169"],"related_works":["https://openalex.org/W2289868279","https://openalex.org/W2555630001","https://openalex.org/W4231351862","https://openalex.org/W4212794605","https://openalex.org/W4315836293","https://openalex.org/W4243888788","https://openalex.org/W3004352674","https://openalex.org/W2769884427","https://openalex.org/W2088690926","https://openalex.org/W2098934641"],"abstract_inverted_index":{"From":[0,150],"the":[1,19,65,72,107,114,131,160],"last":[2],"few":[3],"years":[4],"research":[5],"in":[6,25],"Musical":[7],"Information":[8,161],"Retrieval":[9],"(MIR)":[10],"is":[11,42,76,143],"increased.":[12],"Enormous":[13],"availability":[14],"of":[15,96,110,133,140],"audio":[16,22,35,55,84],"content":[17],"on":[18,64,106,136],"internet":[20],"demands":[21],"information":[23],"retrieval":[24],"less":[26],"time.":[27],"Many":[28],"have":[29],"explored":[30],"music":[31,48],"genre,":[32],"singer":[33],"identification,":[34],"scene":[36],"analysis,":[37],"and":[38,70,121,176],"instrument":[39],"classification.":[40,137],"It":[41,129],"technically":[43],"challenging":[44],"to":[45,68,80,88,124],"search":[46],"similar":[47],"pieces,":[49],"singers,":[50],"or":[51],"instruments":[52],"from":[53,83,92],"available":[54],"files":[56],"as":[57],"unstructured":[58],"data.":[59],"The":[60,138],"classifier's":[61],"performance":[62,139],"depends":[63],"features":[66,91,142,167],"used":[67],"train":[69],"test":[71],"classifier.":[73,149],"Hence,":[74],"it":[75],"important":[77],"not":[78],"only":[79],"feature":[81,111],"extraction":[82],"signal":[85],"but":[86],"also":[87],"select":[89],"relevant":[90],"a":[93,146],"large":[94],"set":[95],"extracted":[97],"features,":[98],"increasing":[99],"classification":[100,153],"accuracy.":[101],"This":[102],"empirical":[103],"study":[104],"focuses":[105],"filter":[108],"approach":[109],"selection":[112,134],"using":[113,145],"Correlation":[115],"Pearson":[116],"coefficient,":[117],"InfoGain,":[118],"Gain":[119,162],"Ration":[120],"ReliefF":[122],"methods":[123,135],"classify":[125],"Indian":[126],"musical":[127],"instruments.":[128],"checks":[130],"effectiveness":[132],"selected":[141,166],"evaluated":[144],"Random":[147],"Forest":[148],"result,":[151],"highest":[152],"accuracy":[154],"93%":[155],"has":[156],"been":[157],"achieved":[158],"by":[159],"method":[163],"for":[164],"top":[165],"i.e.":[168],"Flatness,":[169],"Mean,":[170],"MFCC":[171],"4th":[172],"Coefficient,":[173],"Spectral":[174],"Rolloff(85%)":[175],"Zero":[177],"Crossing":[178],"Rate.":[179]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2022-01-25T00:00:00"}