{"id":"https://openalex.org/W2946423444","doi":"https://doi.org/10.1145/3318299.3318391","title":"Missing Data Processing Based on Deep Neural Network Enhanced by K-Means","display_name":"Missing Data Processing Based on Deep Neural Network Enhanced by K-Means","publication_year":2019,"publication_date":"2019-02-22","ids":{"openalex":"https://openalex.org/W2946423444","doi":"https://doi.org/10.1145/3318299.3318391","mag":"2946423444"},"language":"en","primary_location":{"id":"doi:10.1145/3318299.3318391","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3318299.3318391","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 11th International Conference on Machine Learning and Computing","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/A5100659383","display_name":"Bin Yu","orcid":"https://orcid.org/0000-0003-3097-1433"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Yu","raw_affiliation_strings":["School of Computer Science and Technology, Xidian University, Shaanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100374048","display_name":"Chen Zhang","orcid":"https://orcid.org/0000-0001-5605-943X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Xidian University, Shaanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016132872","display_name":"Zhouhua Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"ZhouHua Tang","raw_affiliation_strings":["School of Computer Science and Technology, Xidian University, Shaanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2386,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.56466663,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"151","last_page":"155"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9805999994277954,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9805999994277954,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9635999798774719,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9557999968528748,"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/missing-data","display_name":"Missing data","score":0.818661093711853},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.8071262836456299},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7113946676254272},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6092601418495178},{"id":"https://openalex.org/keywords/type","display_name":"Type (biology)","score":0.5573232769966125},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5545467734336853},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5372794270515442},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3809645175933838},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3495260179042816},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3393406271934509}],"concepts":[{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.818661093711853},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.8071262836456299},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7113946676254272},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6092601418495178},{"id":"https://openalex.org/C2777299769","wikidata":"https://www.wikidata.org/wiki/Q3707858","display_name":"Type (biology)","level":2,"score":0.5573232769966125},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5545467734336853},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5372794270515442},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3809645175933838},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3495260179042816},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3393406271934509},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3318299.3318391","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3318299.3318391","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 11th International Conference on Machine Learning and Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5400000214576721,"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W191253868","https://openalex.org/W1989984421","https://openalex.org/W2044758663","https://openalex.org/W2049633694","https://openalex.org/W2068331431","https://openalex.org/W2130416410","https://openalex.org/W2130836428","https://openalex.org/W2163150789","https://openalex.org/W2164663739","https://openalex.org/W2168646330","https://openalex.org/W2332774781","https://openalex.org/W2407180081","https://openalex.org/W2516447198","https://openalex.org/W2555697719","https://openalex.org/W2556400449","https://openalex.org/W2761271393","https://openalex.org/W2805642682","https://openalex.org/W2898140261","https://openalex.org/W4244133811"],"related_works":["https://openalex.org/W4380150146","https://openalex.org/W3024870410","https://openalex.org/W2410652950","https://openalex.org/W4283773154","https://openalex.org/W3139174110","https://openalex.org/W4289597203","https://openalex.org/W2085630472","https://openalex.org/W1977098485","https://openalex.org/W4285201053","https://openalex.org/W2753779043"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3],"neural":[4,41,73],"network":[5,74],"model":[6],"based":[7],"on":[8,85],"K-means":[9],"to":[10,24,30,43,98],"process":[11],"the":[12,21,25,45,51,59,64,69,86],"problem":[13],"of":[14],"data":[15,52],"missing.":[16],"The":[17],"method":[18,97],"first":[19],"clusters":[20,38],"samples":[22],"according":[23],"attributes":[26],"without":[27],"missing":[28,46],"values":[29],"get":[31],"several":[32],"clusters,":[33],"and":[34,63,92,101],"then":[35],"puts":[36],"these":[37,79],"into":[39,56],"different":[40],"networks":[42],"predict":[44],"values.":[47],"In":[48],"this":[49],"paper,":[50],"can":[53],"be":[54,99],"divided":[55],"two":[57,80],"types:":[58],"continuous":[60],"numerical":[61,66],"type":[62],"discrete":[65],"type.":[67],"At":[68],"same":[70],"time,":[71],"corresponding":[72],"models":[75],"are":[76],"established":[77],"for":[78],"types.":[81],"We":[82],"conduct":[83],"experiments":[84],"dataset":[87],"called":[88],"Human":[89],"Development":[90],"Index":[91],"Its":[93],"Components,":[94],"showing":[95],"our":[96],"feasible":[100],"superior.":[102]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}