{"id":"https://openalex.org/W1910002509","doi":"https://doi.org/10.1109/bdva.2015.7314299","title":"Machine Learning and Visual Analytics for Consulting Business Decision Support","display_name":"Machine Learning and Visual Analytics for Consulting Business Decision Support","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W1910002509","doi":"https://doi.org/10.1109/bdva.2015.7314299","mag":"1910002509"},"language":"en","primary_location":{"id":"doi:10.1109/bdva.2015.7314299","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bdva.2015.7314299","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Big Data Visual Analytics (BDVA)","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/A5091404872","display_name":"Amy Cook","orcid":null},"institutions":[{"id":"https://openalex.org/I160993911","display_name":"Queensland University of Technology","ror":"https://ror.org/03pnv4752","country_code":"AU","type":"education","lineage":["https://openalex.org/I160993911"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Amy Cook","raw_affiliation_strings":["Queensland University of Technology, Brisbane, Australia","Queensland University of Technology , Brisbane, QLD, Australia"],"affiliations":[{"raw_affiliation_string":"Queensland University of Technology, Brisbane, Australia","institution_ids":["https://openalex.org/I160993911"]},{"raw_affiliation_string":"Queensland University of Technology , Brisbane, QLD, Australia","institution_ids":["https://openalex.org/I160993911"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015087475","display_name":"Paul Pao\u2010Yen Wu","orcid":"https://orcid.org/0000-0001-5960-8203"},"institutions":[{"id":"https://openalex.org/I160993911","display_name":"Queensland University of Technology","ror":"https://ror.org/03pnv4752","country_code":"AU","type":"education","lineage":["https://openalex.org/I160993911"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Paul Wu","raw_affiliation_strings":["Queensland University of Technology, Brisbane, Australia","Queensland University of Technology , Brisbane, QLD, Australia"],"affiliations":[{"raw_affiliation_string":"Queensland University of Technology, Brisbane, Australia","institution_ids":["https://openalex.org/I160993911"]},{"raw_affiliation_string":"Queensland University of Technology , Brisbane, QLD, Australia","institution_ids":["https://openalex.org/I160993911"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001588690","display_name":"Kerrie Mengersen","orcid":"https://orcid.org/0000-0001-8625-9168"},"institutions":[{"id":"https://openalex.org/I160993911","display_name":"Queensland University of Technology","ror":"https://ror.org/03pnv4752","country_code":"AU","type":"education","lineage":["https://openalex.org/I160993911"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Kerrie Mengersen","raw_affiliation_strings":["Queensland University of Technology, Brisbane, Australia","Queensland University of Technology , Brisbane, QLD, Australia"],"affiliations":[{"raw_affiliation_string":"Queensland University of Technology, Brisbane, Australia","institution_ids":["https://openalex.org/I160993911"]},{"raw_affiliation_string":"Queensland University of Technology , Brisbane, QLD, Australia","institution_ids":["https://openalex.org/I160993911"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5091404872"],"corresponding_institution_ids":["https://openalex.org/I160993911"],"apc_list":null,"apc_paid":null,"fwci":0.5897,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.78755238,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"69","issue":null,"first_page":"1","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12384","display_name":"Customer churn and segmentation","score":0.9973999857902527,"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":0.9973999857902527,"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/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/1402","display_name":"Accounting"},"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9919999837875366,"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/computer-science","display_name":"Computer science","score":0.7353473901748657},{"id":"https://openalex.org/keywords/business-analytics","display_name":"Business analytics","score":0.6331661939620972},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6000835299491882},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.5805940628051758},{"id":"https://openalex.org/keywords/decision-support-system","display_name":"Decision support system","score":0.5787830352783203},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5421280860900879},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5337173938751221},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5243238210678101},{"id":"https://openalex.org/keywords/visual-analytics","display_name":"Visual analytics","score":0.4863162934780121},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4839635193347931},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.48248007893562317},{"id":"https://openalex.org/keywords/business-intelligence","display_name":"Business intelligence","score":0.4807129204273224},{"id":"https://openalex.org/keywords/scope","display_name":"Scope (computer science)","score":0.4746323823928833},{"id":"https://openalex.org/keywords/profitability-index","display_name":"Profitability index","score":0.4732173979282379},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.44627058506011963},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.38084328174591064},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.36428314447402954},{"id":"https://openalex.org/keywords/business-model","display_name":"Business model","score":0.21806207299232483},{"id":"https://openalex.org/keywords/business-analysis","display_name":"Business analysis","score":0.12944164872169495}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7353473901748657},{"id":"https://openalex.org/C37952496","wikidata":"https://www.wikidata.org/wiki/Q5001829","display_name":"Business analytics","level":4,"score":0.6331661939620972},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6000835299491882},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.5805940628051758},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.5787830352783203},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5421280860900879},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5337173938751221},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5243238210678101},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.4863162934780121},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4839635193347931},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.48248007893562317},{"id":"https://openalex.org/C2767350","wikidata":"https://www.wikidata.org/wiki/Q6662173","display_name":"Business intelligence","level":2,"score":0.4807129204273224},{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.4746323823928833},{"id":"https://openalex.org/C129361004","wikidata":"https://www.wikidata.org/wiki/Q2470236","display_name":"Profitability index","level":2,"score":0.4732173979282379},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.44627058506011963},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.38084328174591064},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.36428314447402954},{"id":"https://openalex.org/C4216890","wikidata":"https://www.wikidata.org/wiki/Q815823","display_name":"Business model","level":2,"score":0.21806207299232483},{"id":"https://openalex.org/C189076506","wikidata":"https://www.wikidata.org/wiki/Q1518232","display_name":"Business analysis","level":3,"score":0.12944164872169495},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bdva.2015.7314299","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bdva.2015.7314299","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Big Data Visual Analytics (BDVA)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.qut.edu.au:116654","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306402607","display_name":"QUT ePrints (Queensland University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I160993911","host_organization_name":"Queensland University of Technology","host_organization_lineage":["https://openalex.org/I160993911"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE International Symposium on Big Data Visual Analytics (BDVA)","raw_type":"Contribution to conference"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W1875061881","https://openalex.org/W2025535213","https://openalex.org/W2048244076","https://openalex.org/W2098307847"],"related_works":["https://openalex.org/W4297125457","https://openalex.org/W1443873342","https://openalex.org/W3138315071","https://openalex.org/W2802578827","https://openalex.org/W2903278828","https://openalex.org/W2556754356","https://openalex.org/W2782244122","https://openalex.org/W4241924994","https://openalex.org/W4226224764","https://openalex.org/W2888370952"],"abstract_inverted_index":{"The":[0,56,77,123],"application":[1],"of":[2,45,59,69,74,79,91,142,181],"machine":[3,92,152,172],"learning":[4,93,153],"and":[5,26,33,50,94,104,151,159,169,179],"statistical":[6,148],"predictive":[7],"models":[8,150],"to":[9,19,37,61,84,105,118],"business":[10,39],"problems":[11],"has":[12,184],"found":[13],"success":[14],"in":[15,23,42,100],"recent":[16],"years":[17,141],"due":[18],"an":[20],"exponential":[21],"increase":[22],"consumer":[24],"data":[25,36,124],"readily":[27],"available":[28],"computational":[29],"power.":[30],"However,":[31],"visualising":[32],"interpreting":[34],"this":[35,126],"support":[38,170],"decision":[40,121,154],"making":[41],"the":[43,72,80,89,160,182],"context":[44],"consulting":[46,102,132,144],"businesses":[47],"is":[48,52,82],"challenging":[49],"there":[51],"scope":[53],"for":[54,96,125],"advancement.":[55],"accurate":[57],"prediction":[58,99],"hours":[60],"be":[62],"spent":[63],"on":[64],"a":[65,101,107,131],"project":[66,127],"(cost)":[67],"ahead":[68],"time":[70],"underpins":[71],"profitability":[73],"these":[75,116],"organisations.":[76],"aim":[78],"research":[81,161],"twofold:":[83],"identify":[85],"suitable":[86],"techniques":[87,117],"from":[88,115,130],"fields":[90],"statistics":[95],"internal":[97],"cost":[98],"business,":[103],"develop":[106],"user":[108,177],"interface":[109,178],"with":[110],"visual":[111],"analytics":[112],"displaying":[113],"results":[114,183],"provide":[119],"interactive":[120],"support.":[122],"was":[128],"collected":[129],"business'":[133],"customer":[134],"relationship":[135],"management(CRM)":[136],"database,":[137],"which":[138],"contained":[139],"twelve":[140],"past":[143],"projects.":[145],"To":[146],"date,":[147],"linear":[149],"trees":[155],"have":[156],"been":[157,186],"trialed":[158],"will":[162],"progress":[163],"into":[164],"random":[165],"forests,":[166],"neural":[167],"networks,":[168],"vector":[171],"(SVM)":[173],"models.":[174],"A":[175],"prototype":[176],"visualisation":[180],"also":[185],"developed.":[187]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}