{"id":"https://openalex.org/W4399738922","doi":"https://doi.org/10.1007/s41060-024-00582-1","title":"Identifying missing data handling methods with text mining","display_name":"Identifying missing data handling methods with text mining","publication_year":2024,"publication_date":"2024-06-17","ids":{"openalex":"https://openalex.org/W4399738922","doi":"https://doi.org/10.1007/s41060-024-00582-1"},"language":"en","primary_location":{"id":"doi:10.1007/s41060-024-00582-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41060-024-00582-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41060-024-00582-1.pdf","source":{"id":"https://openalex.org/S4210195017","display_name":"International Journal of Data Science and Analytics","issn_l":"2364-415X","issn":["2364-415X","2364-4168"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319972","host_organization_name":"Springer International Publishing","host_organization_lineage":["https://openalex.org/P4310319972","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer International Publishing","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Data Science and Analytics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s41060-024-00582-1.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010530596","display_name":"Kriszti\u00e1n Boros","orcid":null},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]},{"id":"https://openalex.org/I4210137611","display_name":"Centre for Social Sciences","ror":"https://ror.org/0492k9x16","country_code":"HU","type":"facility","lineage":["https://openalex.org/I4210137611","https://openalex.org/I7597260"]}],"countries":["HU","JP"],"is_corresponding":true,"raw_author_name":"Kriszti\u00e1n Boros","raw_affiliation_strings":["Centre for Social Sciences, HUN-REN, T\u00f3th K\u00e1lm\u00e1n str. 4, Budapest, 1097, Budapest, Hungary","Graduate School of Economics, Waseda University, Totsukamachi 1-104, Shinjuku, 169-8050, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Social Sciences, HUN-REN, T\u00f3th K\u00e1lm\u00e1n str. 4, Budapest, 1097, Budapest, Hungary","institution_ids":["https://openalex.org/I4210137611"]},{"raw_affiliation_string":"Graduate School of Economics, Waseda University, Totsukamachi 1-104, Shinjuku, 169-8050, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015694492","display_name":"Zolt\u00e1n Kmetty","orcid":"https://orcid.org/0000-0002-6775-8938"},"institutions":[{"id":"https://openalex.org/I106118109","display_name":"E\u00f6tv\u00f6s Lor\u00e1nd University","ror":"https://ror.org/01jsq2704","country_code":"HU","type":"education","lineage":["https://openalex.org/I106118109"]},{"id":"https://openalex.org/I4210137611","display_name":"Centre for Social Sciences","ror":"https://ror.org/0492k9x16","country_code":"HU","type":"facility","lineage":["https://openalex.org/I4210137611","https://openalex.org/I7597260"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Zolt\u00e1n Kmetty","raw_affiliation_strings":["Centre for Social Sciences, HUN-REN, T\u00f3th K\u00e1lm\u00e1n str. 4, Budapest, 1097, Budapest, Hungary","Faculty of Social Sciences, E\u00f6tv\u00f6s Lor\u00e1nd University, P\u00e1zm\u00e1ny P\u00e9ter s\u00e9t\u00e1ny 1/A, Budapest, 1117, Budapest, Hungary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Social Sciences, HUN-REN, T\u00f3th K\u00e1lm\u00e1n str. 4, Budapest, 1097, Budapest, Hungary","institution_ids":["https://openalex.org/I4210137611"]},{"raw_affiliation_string":"Faculty of Social Sciences, E\u00f6tv\u00f6s Lor\u00e1nd University, P\u00e1zm\u00e1ny P\u00e9ter s\u00e9t\u00e1ny 1/A, Budapest, 1117, Budapest, Hungary","institution_ids":["https://openalex.org/I106118109"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5010530596"],"corresponding_institution_ids":["https://openalex.org/I150744194","https://openalex.org/I4210137611"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":1.2939,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.81348737,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"20","issue":"3","first_page":"2079","last_page":"2091"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9886999726295471,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10028","display_name":"Topic Modeling","score":0.988099992275238,"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":0.623310387134552},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5709769129753113},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4561956524848938},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3705781102180481},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3329398036003113},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3227235674858093},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.15014606714248657}],"concepts":[{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.623310387134552},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5709769129753113},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4561956524848938},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3705781102180481},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3329398036003113},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3227235674858093},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.15014606714248657}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s41060-024-00582-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41060-024-00582-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41060-024-00582-1.pdf","source":{"id":"https://openalex.org/S4210195017","display_name":"International Journal of Data Science and Analytics","issn_l":"2364-415X","issn":["2364-415X","2364-4168"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319972","host_organization_name":"Springer International Publishing","host_organization_lineage":["https://openalex.org/P4310319972","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer International Publishing","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Data Science and Analytics","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s41060-024-00582-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41060-024-00582-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41060-024-00582-1.pdf","source":{"id":"https://openalex.org/S4210195017","display_name":"International Journal of Data Science and Analytics","issn_l":"2364-415X","issn":["2364-415X","2364-4168"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319972","host_organization_name":"Springer International Publishing","host_organization_lineage":["https://openalex.org/P4310319972","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer International Publishing","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Data Science and Analytics","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4399738922.pdf"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W1479807131","https://openalex.org/W1520691178","https://openalex.org/W1588240574","https://openalex.org/W1822348759","https://openalex.org/W1972241291","https://openalex.org/W1976568348","https://openalex.org/W1977828678","https://openalex.org/W1984052453","https://openalex.org/W1984709400","https://openalex.org/W1994930505","https://openalex.org/W2006780292","https://openalex.org/W2032578483","https://openalex.org/W2040958097","https://openalex.org/W2085508623","https://openalex.org/W2097814478","https://openalex.org/W2100358124","https://openalex.org/W2104818169","https://openalex.org/W2115098571","https://openalex.org/W2115176304","https://openalex.org/W2130836428","https://openalex.org/W2136347995","https://openalex.org/W2139075905","https://openalex.org/W2146908621","https://openalex.org/W2153149612","https://openalex.org/W2156267802","https://openalex.org/W2170674956","https://openalex.org/W2250539671","https://openalex.org/W2410591240","https://openalex.org/W2492794003","https://openalex.org/W2493916176","https://openalex.org/W2521413662","https://openalex.org/W2905555762","https://openalex.org/W2914604362","https://openalex.org/W2963626623","https://openalex.org/W3021811370","https://openalex.org/W3046330016","https://openalex.org/W3121539865","https://openalex.org/W3170657538","https://openalex.org/W3183727907","https://openalex.org/W6966405480"],"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":{"Abstract":[0],"Missing":[1],"data":[2,18,56,82,108],"is":[3,121],"an":[4],"inevitable":[5],"aspect":[6],"of":[7,54,105],"every":[8],"empirical":[9],"research.":[10],"Researchers":[11],"developed":[12],"several":[13],"techniques":[14],"to":[15,19,50,91],"handle":[16],"missing":[17,55,107],"avoid":[20],"information":[21,95],"loss":[22],"and":[23,35,38,77,133],"biases.":[24],"Over":[25],"the":[26,66,81,93,103,125],"past":[27],"50":[28],"years,":[29],"these":[30],"methods":[31,58],"have":[32],"become":[33],"more":[34,36,40],"efficient":[37],"also":[39],"complex.":[41],"Building":[42],"on":[43],"previous":[44],"review":[45],"studies,":[46],"this":[47],"paper":[48],"aims":[49],"analyze":[51],"what":[52],"kind":[53],"handling":[57,109],"are":[59,136],"used":[60,69],"among":[61],"various":[62],"scientific":[63,72],"disciplines.":[64],"For":[65],"analysis,":[67],"we":[68],"nearly":[70],"50.000":[71],"articles":[73],"published":[74],"between":[75],"1999":[76],"2016.":[78],"JSTOR":[79],"provided":[80],"in":[83,124,138],"text":[84],"format.":[85],"We":[86],"utilized":[87],"a":[88],"text-mining":[89],"approach":[90],"extract":[92],"necessary":[94],"from":[96],"our":[97],"corpus.":[98],"Our":[99],"results":[100],"show":[101],"that":[102],"usage":[104],"advanced":[106],"methods,":[110,130],"such":[111],"as":[112],"Multiple":[113],"Imputation":[114],"or":[115],"Full":[116],"Information":[117],"Maximum":[118],"Likelihood":[119],"estimation,":[120],"steadily":[122],"growing":[123],"examination":[126],"period.":[127],"Additionally,":[128],"simpler":[129],"like":[131],"listwise":[132],"pairwise":[134],"deletion,":[135],"still":[137],"widespread":[139],"use.":[140]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-13T06:13:01.061226","created_date":"2025-10-10T00:00:00"}
