{"id":"https://openalex.org/W2909918825","doi":"https://doi.org/10.1109/ieem.2018.8607632","title":"Text Mining-based Approach for Forecasting Spare Parts Demand of K-X Tanks","display_name":"Text Mining-based Approach for Forecasting Spare Parts Demand of K-X Tanks","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2909918825","doi":"https://doi.org/10.1109/ieem.2018.8607632","mag":"2909918825"},"language":"en","primary_location":{"id":"doi:10.1109/ieem.2018.8607632","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieem.2018.8607632","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","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/A5065659173","display_name":"Jae-Dong Kim","orcid":"https://orcid.org/0000-0002-2886-6151"},"institutions":[{"id":"https://openalex.org/I146496621","display_name":"Korea National Defense University","ror":"https://ror.org/05t1bc854","country_code":"KR","type":"education","lineage":["https://openalex.org/I146496621"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jaedong Kim","raw_affiliation_strings":["Center for Defense Resource Management, Korea Institute for Defense Analyses, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Center for Defense Resource Management, Korea Institute for Defense Analyses, Seoul, South Korea","institution_ids":["https://openalex.org/I146496621"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5065659173"],"corresponding_institution_ids":["https://openalex.org/I146496621"],"apc_list":null,"apc_paid":null,"fwci":0.2118,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.62704708,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1652","last_page":"1656"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9793999791145325,"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.9793999791145325,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9657999873161316,"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/T11918","display_name":"Forecasting Techniques and Applications","score":0.9628999829292297,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/spare-part","display_name":"Spare part","score":0.8182034492492676},{"id":"https://openalex.org/keywords/demand-forecasting","display_name":"Demand forecasting","score":0.6569031476974487},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5717763900756836},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.35448259115219116},{"id":"https://openalex.org/keywords/industrial-engineering","display_name":"Industrial engineering","score":0.32171279191970825},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2716679573059082},{"id":"https://openalex.org/keywords/operations-management","display_name":"Operations management","score":0.13566336035728455}],"concepts":[{"id":"https://openalex.org/C194648553","wikidata":"https://www.wikidata.org/wiki/Q1364774","display_name":"Spare part","level":2,"score":0.8182034492492676},{"id":"https://openalex.org/C193809577","wikidata":"https://www.wikidata.org/wiki/Q3409300","display_name":"Demand forecasting","level":2,"score":0.6569031476974487},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5717763900756836},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.35448259115219116},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.32171279191970825},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2716679573059082},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.13566336035728455}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ieem.2018.8607632","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieem.2018.8607632","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W94571269","https://openalex.org/W1518554311","https://openalex.org/W1530699444","https://openalex.org/W1574108410","https://openalex.org/W1955600018","https://openalex.org/W1982348007","https://openalex.org/W2015122449","https://openalex.org/W2030903867","https://openalex.org/W2072154218","https://openalex.org/W2074093246","https://openalex.org/W2082470815","https://openalex.org/W2085831731","https://openalex.org/W2089367555","https://openalex.org/W2093996550","https://openalex.org/W2113734877","https://openalex.org/W2123788297","https://openalex.org/W2153476503","https://openalex.org/W2278036287","https://openalex.org/W2312261299","https://openalex.org/W2504704373","https://openalex.org/W2608271560","https://openalex.org/W2807884614","https://openalex.org/W3121260070","https://openalex.org/W4285719527","https://openalex.org/W4301074325","https://openalex.org/W6603851545","https://openalex.org/W6630965299","https://openalex.org/W6669371565","https://openalex.org/W6698383719","https://openalex.org/W6737107075","https://openalex.org/W6788940900"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2376859990","https://openalex.org/W2592084884","https://openalex.org/W2371422412","https://openalex.org/W2017624138","https://openalex.org/W4210830111","https://openalex.org/W204828519","https://openalex.org/W2065295848","https://openalex.org/W1988437806","https://openalex.org/W1974798363"],"abstract_inverted_index":{"One":[0],"of":[1,5,13,45,56,71,91],"the":[2,6,10,28,34,43,57,89,95,119],"critical":[3],"tasks":[4],"defense":[7],"logistics":[8],"is":[9],"demand":[11,44,58,106],"forecasting":[12,59,107],"spare":[14,36,72,96],"parts,":[15],"Because":[16],"low-toned":[17,54],"accuracy":[18,55,117],"can":[19],"lead":[20],"to":[21,32,85],"substantial":[22],"budget":[23],"wastes,":[24],"Each":[25],"military":[26],"used":[27],"information":[29,40],"management":[30],"system":[31],"analyze":[33],"past":[35],"parts":[37],"consumption":[38,74,98],"data":[39,75,84],"and":[41,77],"predicted":[42],"each":[46],"part":[47,73,97],"in":[48,88,94,105],"a":[49,53,68],"time":[50,121],"series.":[51,122],"However,":[52],"should":[60],"be":[61],"improved.":[62],"In":[63],"our":[64],"study,":[65],"we":[66],"gathered":[67],"large":[69],"amount":[70],"first":[76],"derived":[78],"several":[79],"features":[80],"including":[81],"unstructured":[82],"textual":[83],"utilize":[86],"them":[87],"discrimination":[90],"fastidious":[92],"patterns":[93],"data.":[99],"Our":[100],"approach":[101],"shows":[102,114],"improved":[103],"performance":[104],"with":[108],"higher":[109],"quantitative":[110],"accuracy.":[111],"The":[112],"result":[113],"better":[115],"prediction":[116],"than":[118],"existing":[120]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"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"}
