{"id":"https://openalex.org/W2106666389","doi":"https://doi.org/10.1109/fskd.2011.6019863","title":"Predicting car purchase intent using data mining approach","display_name":"Predicting car purchase intent using data mining approach","publication_year":2011,"publication_date":"2011-07-01","ids":{"openalex":"https://openalex.org/W2106666389","doi":"https://doi.org/10.1109/fskd.2011.6019863","mag":"2106666389"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2011.6019863","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2011.6019863","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","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/A5069349533","display_name":"Yap Bee Wah","orcid":"https://orcid.org/0000-0003-3415-2646"},"institutions":[{"id":"https://openalex.org/I82724352","display_name":"Universiti Teknologi MARA","ror":"https://ror.org/05n8tts92","country_code":"MY","type":"education","lineage":["https://openalex.org/I82724352"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"Yap Bee Wah","raw_affiliation_strings":["Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia","Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, 40450, Shah Alam, Selangor, Malaysia"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia","institution_ids":["https://openalex.org/I82724352"]},{"raw_affiliation_string":"Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, 40450, Shah Alam, Selangor, Malaysia","institution_ids":["https://openalex.org/I82724352"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000102254","display_name":"Nor Huwaina Ismail","orcid":null},"institutions":[{"id":"https://openalex.org/I82724352","display_name":"Universiti Teknologi MARA","ror":"https://ror.org/05n8tts92","country_code":"MY","type":"education","lineage":["https://openalex.org/I82724352"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Nor Huwaina Ismail","raw_affiliation_strings":["Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia","Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, 40450, Shah Alam, Selangor, Malaysia"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia","institution_ids":["https://openalex.org/I82724352"]},{"raw_affiliation_string":"Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, 40450, Shah Alam, Selangor, Malaysia","institution_ids":["https://openalex.org/I82724352"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086422507","display_name":"Simon Fong","orcid":"https://orcid.org/0000-0002-1848-7246"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Simon Fong","raw_affiliation_strings":["Department of Computer and Information Science, University of Macau, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, University of Macau, China","institution_ids":["https://openalex.org/I204512498"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5069349533"],"corresponding_institution_ids":["https://openalex.org/I82724352"],"apc_list":null,"apc_paid":null,"fwci":0.4276,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.7311738,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1994","last_page":"1999"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9987999796867371,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9987999796867371,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9980000257492065,"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/T12384","display_name":"Customer churn and segmentation","score":0.9975000023841858,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.7560431957244873},{"id":"https://openalex.org/keywords/cart","display_name":"Cart","score":0.7207546234130859},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7010787129402161},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.6537622809410095},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6433393955230713},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5732608437538147},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.5509870052337646},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.5126856565475464},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.45339301228523254},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42263123393058777},{"id":"https://openalex.org/keywords/predictive-analytics","display_name":"Predictive analytics","score":0.41420286893844604},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40779972076416016},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13311263918876648}],"concepts":[{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.7560431957244873},{"id":"https://openalex.org/C2777275308","wikidata":"https://www.wikidata.org/wiki/Q234668","display_name":"Cart","level":2,"score":0.7207546234130859},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7010787129402161},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.6537622809410095},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6433393955230713},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5732608437538147},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.5509870052337646},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.5126856565475464},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.45339301228523254},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42263123393058777},{"id":"https://openalex.org/C83209312","wikidata":"https://www.wikidata.org/wiki/Q1053367","display_name":"Predictive analytics","level":2,"score":0.41420286893844604},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40779972076416016},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13311263918876648},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2011.6019863","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2011.6019863","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W617833938","https://openalex.org/W1566639089","https://openalex.org/W1567281254","https://openalex.org/W1776383492","https://openalex.org/W1973328898","https://openalex.org/W1997294663","https://openalex.org/W2004989369","https://openalex.org/W2025809961","https://openalex.org/W2069206247","https://openalex.org/W2074256783","https://openalex.org/W2085831731","https://openalex.org/W2089811952","https://openalex.org/W2103780778","https://openalex.org/W2106100979","https://openalex.org/W2118228485","https://openalex.org/W2140190241","https://openalex.org/W2163048132","https://openalex.org/W2163225179","https://openalex.org/W2168123127"],"related_works":["https://openalex.org/W4205686051","https://openalex.org/W3108868229","https://openalex.org/W4206275624","https://openalex.org/W3189884647","https://openalex.org/W4313451520","https://openalex.org/W3203664106","https://openalex.org/W3004358060","https://openalex.org/W4251864566","https://openalex.org/W4224092800","https://openalex.org/W2910942700"],"abstract_inverted_index":{"Data":[0],"mining":[1,29,65],"involves":[2],"the":[3,25,57,82,108,118,144],"exploration":[4],"and":[5,13,74,102,123],"analysis":[6],"of":[7,27,39,84,107,110],"large":[8],"databases":[9],"to":[10,31,59,80],"find":[11],"patterns":[12],"valuable":[14],"information":[15],"that":[16,48,127],"can":[17],"aid":[18],"in":[19],"decision":[20],"making.":[21],"This":[22],"paper":[23],"illustrates":[24],"use":[26],"data":[28,64,96],"approach":[30],"build":[32],"predictive":[33,66,113],"models":[34,114,130],"for":[35,89],"predicting":[36],"customer's":[37],"intent":[38,83],"car":[40,55],"purchase":[41,85],"after":[42],"booking":[43],"a":[44,49,54],"car.":[45],"Records":[46],"show":[47,126],"customer":[50,151],"who":[51],"has":[52,56,92,143],"booked":[53],"tendency":[58],"cancel":[60],"their":[61],"booking.":[62],"Three":[63],"models:":[67],"Logistic":[68],"Regression":[69],"(LR),":[70],"Decision":[71],"Tree":[72],"(DT)":[73],"Neural":[75],"Network":[76],"(NN)":[77],"were":[78,115,153],"used":[79],"model":[81],"(IOP).":[86],"The":[87,95],"sample":[88],"this":[90],"study":[91],"1935":[93],"cases.":[94],"was":[97],"partitioned":[98],"into":[99],"training":[100],"(70%)":[101],"validation":[103,119,131],"(30%)":[104],"samples.":[105],"Comparisons":[106],"performance":[109],"these":[111,157],"three":[112,129],"based":[116],"on":[117],"accuracy":[120,132],"rate,":[121],"sensitivity":[122,146],"specificity.":[124],"Results":[125],"all":[128],"rate":[133],"are":[134],"quite":[135],"similar":[136],"(LR=":[137],"91.79%,":[138],"CART=91.17%,":[139],"NN=91.17%)":[140],"while":[141],"LR":[142],"highest":[145],"(LR=87.77%,":[147],"CART=85.47%,":[148],"NN=85.89%).":[149],"Important":[150],"characteristics":[152],"also":[154],"revealed":[155],"from":[156],"models.":[158]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}