{"id":"https://openalex.org/W3028568470","doi":"https://doi.org/10.1145/3386052.3386061","title":"Assessing Information Quality and Distinguishing Feature Subsets for Molecular Classification","display_name":"Assessing Information Quality and Distinguishing Feature Subsets for Molecular Classification","publication_year":2020,"publication_date":"2020-01-19","ids":{"openalex":"https://openalex.org/W3028568470","doi":"https://doi.org/10.1145/3386052.3386061","mag":"3028568470"},"language":"en","primary_location":{"id":"doi:10.1145/3386052.3386061","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3386052.3386061","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 10th International Conference on Bioscience, Biochemistry and Bioinformatics","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/A5102830188","display_name":"Hung\u2010Yi Lin","orcid":"https://orcid.org/0000-0002-2050-0032"},"institutions":[{"id":"https://openalex.org/I131948415","display_name":"National Taichung University of Science and Technology","ror":"https://ror.org/05bgcav40","country_code":"TW","type":"education","lineage":["https://openalex.org/I131948415"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Hung-Yi Lin","raw_affiliation_strings":["Dept. of Distribution Management, National Taichung University of Science and Technology, Taichung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Dept. of Distribution Management, National Taichung University of Science and Technology, Taichung, Taiwan","institution_ids":["https://openalex.org/I131948415"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019679296","display_name":"Da-Yi Yen","orcid":null},"institutions":[{"id":"https://openalex.org/I131948415","display_name":"National Taichung University of Science and Technology","ror":"https://ror.org/05bgcav40","country_code":"TW","type":"education","lineage":["https://openalex.org/I131948415"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Da-Yi Yen","raw_affiliation_strings":["Dept. of Distribution Management, National Taichung University of Science and Technology, Taichung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Dept. of Distribution Management, National Taichung University of Science and Technology, Taichung, Taiwan","institution_ids":["https://openalex.org/I131948415"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102830188"],"corresponding_institution_ids":["https://openalex.org/I131948415"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08598934,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"5","issue":null,"first_page":"96","last_page":"100"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9987999796867371,"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/T10211","display_name":"Computational Drug Discovery Methods","score":0.9987999796867371,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9829999804496765,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9815000295639038,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.705784797668457},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.648108184337616},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6185932159423828},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6067940592765808},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6047826409339905},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5617067217826843},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5357159376144409},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5131588578224182},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.5116396546363831},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.45315951108932495},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.43488967418670654},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4345323145389557},{"id":"https://openalex.org/keywords/simplicity","display_name":"Simplicity","score":0.4290139675140381},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4273899495601654},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1795201301574707}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.705784797668457},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.648108184337616},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6185932159423828},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6067940592765808},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6047826409339905},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5617067217826843},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5357159376144409},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5131588578224182},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.5116396546363831},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.45315951108932495},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.43488967418670654},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4345323145389557},{"id":"https://openalex.org/C2776372474","wikidata":"https://www.wikidata.org/wiki/Q508291","display_name":"Simplicity","level":2,"score":0.4290139675140381},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4273899495601654},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1795201301574707},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","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},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3386052.3386061","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3386052.3386061","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 10th International Conference on Bioscience, Biochemistry and Bioinformatics","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":34,"referenced_works":["https://openalex.org/W22924496","https://openalex.org/W1019830208","https://openalex.org/W1514928307","https://openalex.org/W1761723896","https://openalex.org/W1963763787","https://openalex.org/W1965340361","https://openalex.org/W1983704480","https://openalex.org/W1983753875","https://openalex.org/W2013229832","https://openalex.org/W2034562453","https://openalex.org/W2069928051","https://openalex.org/W2087576375","https://openalex.org/W2095378398","https://openalex.org/W2108728387","https://openalex.org/W2109363337","https://openalex.org/W2113076747","https://openalex.org/W2116048331","https://openalex.org/W2132379769","https://openalex.org/W2137646016","https://openalex.org/W2142594886","https://openalex.org/W2149772057","https://openalex.org/W2154053567","https://openalex.org/W2163605009","https://openalex.org/W2179290474","https://openalex.org/W2198606573","https://openalex.org/W2250086655","https://openalex.org/W2293600471","https://openalex.org/W2593727049","https://openalex.org/W2609819335","https://openalex.org/W2735033997","https://openalex.org/W2774613056","https://openalex.org/W2945949212","https://openalex.org/W3147719507","https://openalex.org/W6646470409"],"related_works":["https://openalex.org/W2368019753","https://openalex.org/W2333930193","https://openalex.org/W2737356002","https://openalex.org/W2246241526","https://openalex.org/W4301122218","https://openalex.org/W2374150061","https://openalex.org/W2081340182","https://openalex.org/W2369703001","https://openalex.org/W2372323577","https://openalex.org/W2321432690"],"abstract_inverted_index":{"A":[0],"feature":[1,34,65,111],"reduction":[2],"scheme":[3,11],"is":[4,12,23,70,83,116],"developed":[5],"in":[6,95,113],"this":[7],"study.":[8],"The":[9,20],"proposed":[10,81],"a":[13],"hybrid":[14],"of":[15,88,101,110],"unsupervised":[16,21],"and":[17,29,59,90],"supervised":[18,48],"methods.":[19],"process":[22,49],"designed":[24],"to":[25,84,106],"exclude":[26],"the":[27,47,51,57,63,86,99,107],"irrelevant":[28],"useless":[30],"information":[31,54],"before":[32],"executing":[33],"selection.":[35],"Fuzzy":[36],"clustering":[37],"algorithm":[38],"will":[39,55],"categorize":[40],"all":[41],"features":[42],"into":[43],"different":[44],"groups.":[45],"Then,":[46],"using":[50],"target":[52],"class":[53],"purify":[56],"relevant":[58],"informative":[60],"factors":[61],"from":[62],"approved":[64],"clusters.":[66],"This":[67,80],"purifying":[68],"procedure":[69],"particularly":[71],"suitable":[72],"for":[73],"high":[74,102],"dimensional":[75],"datasets":[76],"with":[77],"erroneous":[78],"information.":[79],"strategy":[82],"retain":[85],"advantage":[87],"simplicity":[89],"lower":[91],"selecting":[92],"time":[93],"consumption":[94],"filter":[96],"methods":[97,115],"while":[98],"disadvantage":[100],"computational":[103],"cost":[104],"due":[105],"exponential":[108],"quantity":[109],"subsets":[112],"wrapper":[114],"completely":[117],"avoided.":[118]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
