{"id":"https://openalex.org/W3046025314","doi":"https://doi.org/10.3233/978-1-61499-105-2-867","title":"Building Knowledge for Characterization of the Bad Debt Customers in the Mail Order Industry with Random Forest","display_name":"Building Knowledge for Characterization of the Bad Debt Customers in the Mail Order Industry with Random Forest","publication_year":2012,"publication_date":"2012-01-01","ids":{"openalex":"https://openalex.org/W3046025314","doi":"https://doi.org/10.3233/978-1-61499-105-2-867","mag":"3046025314"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-61499-105-2-867","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-105-2-867","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","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/A5029077727","display_name":"Takahashi Masakazu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Takahashi Masakazu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116321062","display_name":"Azuma Hiroki","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Azuma Hiroki","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Ikeda Masanori","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ikeda Masanori","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5110321871","display_name":"Kazuhiko Tsuda","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tsuda Kazuhiko","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1268,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.87363305,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12384","display_name":"Customer churn and segmentation","score":0.9248999953269958,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12384","display_name":"Customer churn and segmentation","score":0.9248999953269958,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11891","display_name":"Big Data and Business Intelligence","score":0.9229999780654907,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/mail-order","display_name":"Mail order","score":0.6893349885940552},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.6253136396408081},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.6012737154960632},{"id":"https://openalex.org/keywords/debt","display_name":"Debt","score":0.5346837043762207},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.3959461450576782},{"id":"https://openalex.org/keywords/advertising","display_name":"Advertising","score":0.2531995475292206},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.14758938550949097}],"concepts":[{"id":"https://openalex.org/C2993760346","wikidata":"https://www.wikidata.org/wiki/Q425779","display_name":"Mail order","level":2,"score":0.6893349885940552},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.6253136396408081},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.6012737154960632},{"id":"https://openalex.org/C120527767","wikidata":"https://www.wikidata.org/wiki/Q3196867","display_name":"Debt","level":2,"score":0.5346837043762207},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.3959461450576782},{"id":"https://openalex.org/C112698675","wikidata":"https://www.wikidata.org/wiki/Q37038","display_name":"Advertising","level":1,"score":0.2531995475292206},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.14758938550949097}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/978-1-61499-105-2-867","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-105-2-867","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2033531725","https://openalex.org/W1603273719","https://openalex.org/W3132716659","https://openalex.org/W1562991075","https://openalex.org/W2187644337","https://openalex.org/W2048370314","https://openalex.org/W2227806021","https://openalex.org/W2366421423","https://openalex.org/W2259714487","https://openalex.org/W3147953672"],"abstract_inverted_index":{"This":[0,89],"paper":[1],"presents":[2],"investigating":[3],"the":[4,7,33,53,56,61,74,81,98],"customercharacteristics":[5],"from":[6,46],"bad":[8,43,67,82,99],"debt":[9,44,68,83],"list":[10,45],"ofa":[11],"mail":[12],"order":[13,48],"corporation.":[14],"So":[15],"far,":[16],"suchinvestigations":[17],"have":[18],"not":[19],"made":[20],"intensively,":[21],"especiallyprivate":[22],"defaultrisks":[23],"and":[24,86],"conventional":[25],"method":[26,90],"for":[27],"predicting":[28],"such":[29],"risks":[30],"depend":[31],"on":[32],"employee&amp;apos;s":[34],"working":[35],"experiences.":[36],"For":[37],"these":[38],"reason,":[39],"at":[40],"first,we":[41],"observedtheactual":[42],"amail":[47],"corporationand":[49],"analyzedsales":[50],"data.":[51],"From":[52],"results":[54],"of":[55,60,96],"observation,":[57],"we":[58],"makeuse":[59],"machine":[62],"learningmethod":[63],"to":[64],"characterizethe":[65],"potential":[66],"customers.":[69],"Intensive":[70],"research":[71],"hasrevealed":[72],"that":[73],"characteristicsof":[75],"customers,":[76],"who":[77],"might":[78],"fall":[79],"into":[80],"list,":[84],"popularitems":[85],"so":[87],"on.":[88],"willmake":[91],"use":[92],"forthe":[93],"revenue":[94],"expansion;improvement":[95],"collectionof":[97],"debts.":[100]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
