{"id":"https://openalex.org/W4400189455","doi":"https://doi.org/10.1109/iccae59995.2024.10569229","title":"A Novel Multivariate Feature Ranking Method for Incomplete Categorical Data Based on Weighted Frequency","display_name":"A Novel Multivariate Feature Ranking Method for Incomplete Categorical Data Based on Weighted Frequency","publication_year":2024,"publication_date":"2024-03-14","ids":{"openalex":"https://openalex.org/W4400189455","doi":"https://doi.org/10.1109/iccae59995.2024.10569229"},"language":"en","primary_location":{"id":"doi:10.1109/iccae59995.2024.10569229","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iccae59995.2024.10569229","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 16th International Conference on Computer and Automation Engineering (ICCAE)","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/A5013950502","display_name":"Kunmei Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kunmei Li","raw_affiliation_strings":["Xi'an Electronic Engineering, Research Institute,System Engineering Department,Xi'an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi'an Electronic Engineering, Research Institute,System Engineering Department,Xi'an,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039772760","display_name":"Xiaoyu Ma","orcid":"https://orcid.org/0000-0001-9248-2593"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaoyu Ma","raw_affiliation_strings":["Xi'an Electronic Engineering, Research Institute,System Engineering Department,Xi'an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi'an Electronic Engineering, Research Institute,System Engineering Department,Xi'an,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112535272","display_name":"Zheng Bian","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zheng Bian","raw_affiliation_strings":["Xi'an Electronic Engineering, Research Institute,System Engineering Department,Xi'an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi'an Electronic Engineering, Research Institute,System Engineering Department,Xi'an,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044171766","display_name":"Wei Xu","orcid":"https://orcid.org/0000-0001-7992-9063"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei Xu","raw_affiliation_strings":["Xi'an Electronic Engineering, Research Institute,System Engineering Department,Xi'an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi'an Electronic Engineering, Research Institute,System Engineering Department,Xi'an,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100306427","display_name":"Xuan Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xuan Zhang","raw_affiliation_strings":["Xi'an Electronic Engineering, Research Institute,System Engineering Department,Xi'an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi'an Electronic Engineering, Research Institute,System Engineering Department,Xi'an,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100460917","display_name":"Hui Wang","orcid":"https://orcid.org/0000-0003-2633-6015"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hui Wang","raw_affiliation_strings":["Xi'an Electronic Engineering, Research Institute,System Engineering Department,Xi'an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi'an Electronic Engineering, Research Institute,System Engineering Department,Xi'an,China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100688543","display_name":"Zhiwei Wang","orcid":"https://orcid.org/0000-0002-3638-8663"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhiwei Wang","raw_affiliation_strings":["Xi'an Electronic Engineering, Research Institute,System Engineering Department,Xi'an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi'an Electronic Engineering, Research Institute,System Engineering Department,Xi'an,China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02368306,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"36","last_page":"40"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13955","display_name":"Evaluation Methods in Various Fields","score":0.5712000131607056,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13955","display_name":"Evaluation Methods in Various Fields","score":0.5712000131607056,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.5579000115394592,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.8984484076499939},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.7391253709793091},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6305093765258789},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.625820517539978},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5938657522201538},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5782356262207031},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5690281987190247},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5090036392211914},{"id":"https://openalex.org/keywords/multivariate-analysis","display_name":"Multivariate analysis","score":0.4110349118709564},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3268851339817047},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27968400716781616},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2709413170814514}],"concepts":[{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.8984484076499939},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.7391253709793091},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6305093765258789},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.625820517539978},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5938657522201538},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5782356262207031},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5690281987190247},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5090036392211914},{"id":"https://openalex.org/C38180746","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate analysis","level":2,"score":0.4110349118709564},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3268851339817047},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27968400716781616},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2709413170814514},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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:10.1109/iccae59995.2024.10569229","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iccae59995.2024.10569229","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 16th International Conference on Computer and Automation Engineering (ICCAE)","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":28,"referenced_works":["https://openalex.org/W577421504","https://openalex.org/W1913848238","https://openalex.org/W1995875735","https://openalex.org/W2002844845","https://openalex.org/W2007810691","https://openalex.org/W2031459800","https://openalex.org/W2032339756","https://openalex.org/W2054726488","https://openalex.org/W2069321575","https://openalex.org/W2076384720","https://openalex.org/W2078028891","https://openalex.org/W2082290707","https://openalex.org/W2092939357","https://openalex.org/W2104157166","https://openalex.org/W2122717603","https://openalex.org/W2122801948","https://openalex.org/W2123838014","https://openalex.org/W2144832675","https://openalex.org/W2149772057","https://openalex.org/W2170604454","https://openalex.org/W2253230473","https://openalex.org/W2593095239","https://openalex.org/W2914551414","https://openalex.org/W3094918643","https://openalex.org/W3122386755","https://openalex.org/W4245952386","https://openalex.org/W4297957988","https://openalex.org/W6678218996"],"related_works":["https://openalex.org/W2406638334","https://openalex.org/W40745829","https://openalex.org/W4318262572","https://openalex.org/W1978357124","https://openalex.org/W1578824628","https://openalex.org/W2032728545","https://openalex.org/W1570805059","https://openalex.org/W4250754046","https://openalex.org/W4243682621","https://openalex.org/W2036849593"],"abstract_inverted_index":{"Feature":[0],"selection":[1,64],"is":[2,34,86],"necessary":[3],"for":[4],"high-dimensional":[5],"data":[6,32,100],"analysis,":[7],"and":[8,45,54,98,101],"several":[9],"techniques":[10],"have":[11],"been":[12],"proposed":[13,84],"after":[14],"extensive":[15],"research.":[16],"Unfortunately,":[17],"most":[18],"conventional":[19],"methods":[20,91],"fail":[21],"when":[22],"applied":[23],"to":[24,38,52,78],"incomplete":[25,28,80],"data,":[26],"particularly":[27],"multi-categorical":[29,81],"data.":[30],"Complete":[31],"analysis":[33,53],"a":[35,61,72],"common":[36],"approach":[37],"deal":[39],"with":[40,71,88,92],"this":[41],"problem":[42],"by":[43],"imputation":[44,94],"omission,":[46],"which":[47],"may":[48],"introduce":[49],"immeasurable":[50],"bias":[51],"requires":[55],"sophisticated":[56],"computation.":[57],"This":[58],"paper":[59],"presents":[60],"novel":[62],"feature":[63],"method":[65,85],"that":[66],"combines":[67],"the":[68,111],"weighted":[69],"frequency":[70],"recursive":[73],"adaptive":[74],"partitioning-based":[75],"MI":[76],"estimator":[77],"rank":[79],"features.":[82],"The":[83],"compared":[87],"three":[89],"other":[90],"different":[93],"engines":[95],"on":[96],"simulated":[97],"real-world":[99],"proved":[102],"not":[103],"only":[104],"improves":[105],"accuracy":[106],"but":[107],"also":[108],"cuts":[109],"down":[110],"computational":[112],"time.":[113]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}