{"id":"https://openalex.org/W3008896621","doi":"https://doi.org/10.1109/bigdata47090.2019.9005950","title":"AI-Based Online P2P Lending Risk Assessment On Social Network Data With Missing Value","display_name":"AI-Based Online P2P Lending Risk Assessment On Social Network Data With Missing Value","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3008896621","doi":"https://doi.org/10.1109/bigdata47090.2019.9005950","mag":"3008896621"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata47090.2019.9005950","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata47090.2019.9005950","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data (Big Data)","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/A5060607262","display_name":"Lok Ting Lam","orcid":null},"institutions":[{"id":"https://openalex.org/I87354575","display_name":"National Chengchi University","ror":"https://ror.org/03rqk8h36","country_code":"TW","type":"education","lineage":["https://openalex.org/I87354575"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Lok Ting Lam","raw_affiliation_strings":["Department of Management information systems, National Chengchi University, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Management information systems, National Chengchi University, Taipei, Taiwan","institution_ids":["https://openalex.org/I87354575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022953646","display_name":"Shun-Wen Hsiao","orcid":"https://orcid.org/0000-0003-0780-8144"},"institutions":[{"id":"https://openalex.org/I87354575","display_name":"National Chengchi University","ror":"https://ror.org/03rqk8h36","country_code":"TW","type":"education","lineage":["https://openalex.org/I87354575"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Shun-Wen Hsiao","raw_affiliation_strings":["Department of Management information systems, National Chengchi University, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Management information systems, National Chengchi University, Taipei, Taiwan","institution_ids":["https://openalex.org/I87354575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5060607262"],"corresponding_institution_ids":["https://openalex.org/I87354575"],"apc_list":null,"apc_paid":null,"fwci":0.5601,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.76383776,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"6113","last_page":"6115"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9860000014305115,"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"}},"topics":[{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9860000014305115,"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"}},{"id":"https://openalex.org/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9693999886512756,"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/T13398","display_name":"Data Analysis with R","score":0.9685999751091003,"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":0.9382718205451965},{"id":"https://openalex.org/keywords/imputation","display_name":"Imputation (statistics)","score":0.8500380516052246},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.7306019067764282},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6828843951225281},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5920181274414062},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5482481122016907},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.48669105768203735},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.45183053612709045},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.4425727427005768},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4412643313407898},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41819703578948975},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.387494295835495},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.12079232931137085},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.06650078296661377}],"concepts":[{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.9382718205451965},{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.8500380516052246},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.7306019067764282},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6828843951225281},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5920181274414062},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5482481122016907},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.48669105768203735},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.45183053612709045},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.4425727427005768},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4412643313407898},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41819703578948975},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.387494295835495},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.12079232931137085},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.06650078296661377},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata47090.2019.9005950","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata47090.2019.9005950","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7799999713897705,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2115098571","https://openalex.org/W4229794939","https://openalex.org/W4298826872","https://openalex.org/W7011406682"],"related_works":["https://openalex.org/W2181530120","https://openalex.org/W4211215373","https://openalex.org/W2024529227","https://openalex.org/W2055961818","https://openalex.org/W1574575415","https://openalex.org/W3144172081","https://openalex.org/W3179858851","https://openalex.org/W3028371478","https://openalex.org/W2081476516","https://openalex.org/W2581984549"],"abstract_inverted_index":{"This":[0],"study":[1],"explores":[2],"an":[3],"important":[4],"issue":[5],"of":[6,39,76],"data":[7,26,35,102],"mining":[8],"-":[9,12],"missing":[10,18,40,67,78,104,112],"value":[11,19],"by":[13],"using":[14],"Neural":[15],"Network":[16,62],"for":[17,27,95,114],"imputation.":[20],"We":[21,51,98],"focus":[22],"on":[23],"social":[24,33],"network":[25,34,55],"P2P":[28,101],"lending":[29],"risk":[30],"assessment.":[31],"However,":[32],"usually":[36],"contain":[37],"lots":[38],"values":[41,75,88,105,113],"so":[42],"that":[43],"predicting":[44],"accurate":[45],"credit":[46],"level":[47],"is":[48,91],"not":[49,94],"feasible.":[50],"propose":[52],"a":[53],"neural":[54],"based":[56],"approach":[57],"and":[58,106],"adapt":[59],"Generative":[60],"Adversarial":[61],"concept":[63],"to":[64],"generate":[65],"the":[66,73,77,81,86,107],"values.":[68],"The":[69],"Generator":[70,90],"could":[71,83],"output":[72,87],"possible":[74],"values;":[79],"while":[80],"Discriminator":[82],"judge":[84],"if":[85],"from":[89],"appropriate":[92],"or":[93],"further":[96],"training.":[97],"use":[99],"real-world":[100],"without":[103],"construct":[108],"datasets":[109],"with":[110],"random":[111],"evaluation.":[115]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
