{"id":"https://openalex.org/W2305414861","doi":"https://doi.org/10.4018/ijkbo.2016040103","title":"Comparing Data Mining Models in Academic Analytics","display_name":"Comparing Data Mining Models in Academic Analytics","publication_year":2016,"publication_date":"2016-03-21","ids":{"openalex":"https://openalex.org/W2305414861","doi":"https://doi.org/10.4018/ijkbo.2016040103","mag":"2305414861"},"language":"en","primary_location":{"id":"doi:10.4018/ijkbo.2016040103","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijkbo.2016040103","pdf_url":null,"source":{"id":"https://openalex.org/S4210171617","display_name":"International Journal of Knowledge-Based Organizations","issn_l":"2155-6393","issn":["2155-6393","2155-6407"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Knowledge-Based Organizations","raw_type":"journal-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/A5004313044","display_name":"Dheeraj Raju","orcid":"https://orcid.org/0000-0002-6571-3410"},"institutions":[{"id":"https://openalex.org/I32389192","display_name":"University of Alabama at Birmingham","ror":"https://ror.org/008s83205","country_code":"US","type":"education","lineage":["https://openalex.org/I32389192"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Dheeraj Raju","raw_affiliation_strings":["School of Nursing, University of Alabama at Birmingham, Birmingham, AL, USA"],"affiliations":[{"raw_affiliation_string":"School of Nursing, University of Alabama at Birmingham, Birmingham, AL, USA","institution_ids":["https://openalex.org/I32389192"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078098511","display_name":"Randall E. Schumacker","orcid":null},"institutions":[{"id":"https://openalex.org/I17301866","display_name":"University of Alabama","ror":"https://ror.org/03xrrjk67","country_code":"US","type":"education","lineage":["https://openalex.org/I17301866"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Randall Schumacker","raw_affiliation_strings":["College of Education, The University of Alabama, Tuscaloosa, AL, USA"],"affiliations":[{"raw_affiliation_string":"College of Education, The University of Alabama, Tuscaloosa, AL, USA","institution_ids":["https://openalex.org/I17301866"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5004313044"],"corresponding_institution_ids":["https://openalex.org/I32389192"],"apc_list":null,"apc_paid":null,"fwci":2.7631,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.91669288,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"6","issue":"2","first_page":"38","last_page":"54"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.983299970626831,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11122","display_name":"Online Learning and Analytics","score":0.983299970626831,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9602000117301941,"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":0.9247999787330627,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/timeline","display_name":"Timeline","score":0.8669100999832153},{"id":"https://openalex.org/keywords/graduation","display_name":"Graduation (instrument)","score":0.8601158857345581},{"id":"https://openalex.org/keywords/demographics","display_name":"Demographics","score":0.6524769067764282},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.6456657648086548},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.6451343297958374},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5680805444717407},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.506923496723175},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5045799016952515},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4873548448085785},{"id":"https://openalex.org/keywords/learning-analytics","display_name":"Learning analytics","score":0.46740466356277466},{"id":"https://openalex.org/keywords/mathematics-education","display_name":"Mathematics education","score":0.325924813747406},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3153691291809082},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.29822826385498047},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.28023919463157654},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.27014821767807007},{"id":"https://openalex.org/keywords/demography","display_name":"Demography","score":0.17270681262016296},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17104914784431458},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.168300062417984},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.10660064220428467}],"concepts":[{"id":"https://openalex.org/C4438859","wikidata":"https://www.wikidata.org/wiki/Q186117","display_name":"Timeline","level":2,"score":0.8669100999832153},{"id":"https://openalex.org/C2779529714","wikidata":"https://www.wikidata.org/wiki/Q2632744","display_name":"Graduation (instrument)","level":2,"score":0.8601158857345581},{"id":"https://openalex.org/C2780084366","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demographics","level":2,"score":0.6524769067764282},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6456657648086548},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.6451343297958374},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5680805444717407},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.506923496723175},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5045799016952515},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4873548448085785},{"id":"https://openalex.org/C2777648619","wikidata":"https://www.wikidata.org/wiki/Q2845208","display_name":"Learning analytics","level":2,"score":0.46740466356277466},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.325924813747406},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3153691291809082},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.29822826385498047},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.28023919463157654},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27014821767807007},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.17270681262016296},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17104914784431458},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.168300062417984},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.10660064220428467},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.4018/ijkbo.2016040103","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijkbo.2016040103","pdf_url":null,"source":{"id":"https://openalex.org/S4210171617","display_name":"International Journal of Knowledge-Based Organizations","issn_l":"2155-6393","issn":["2155-6393","2155-6407"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Knowledge-Based Organizations","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:igg:jkbo00:v:6:y:2016:i:2:p:38-54","is_oa":false,"landing_page_url":"http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJKBO.2016040103","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W25122364","https://openalex.org/W46790137","https://openalex.org/W109983080","https://openalex.org/W184548071","https://openalex.org/W747585077","https://openalex.org/W1493005553","https://openalex.org/W1503025338","https://openalex.org/W1585565515","https://openalex.org/W1973948212","https://openalex.org/W1990331572","https://openalex.org/W2007589543","https://openalex.org/W2035974882","https://openalex.org/W2051576902","https://openalex.org/W2064186732","https://openalex.org/W2088178017","https://openalex.org/W2095086096","https://openalex.org/W2100358124","https://openalex.org/W2109553965","https://openalex.org/W2129273781","https://openalex.org/W2133671888","https://openalex.org/W2145718599","https://openalex.org/W2153476503","https://openalex.org/W2185100056","https://openalex.org/W2242208857","https://openalex.org/W2345267773","https://openalex.org/W2911964244","https://openalex.org/W2912934387"],"related_works":["https://openalex.org/W1858249912","https://openalex.org/W2114034199","https://openalex.org/W2317428717","https://openalex.org/W2734259032","https://openalex.org/W4385261515","https://openalex.org/W4366990902","https://openalex.org/W4317732970","https://openalex.org/W4388550696","https://openalex.org/W4321636153","https://openalex.org/W4313289487"],"abstract_inverted_index":{"The":[0,16,50,69,95],"goal":[1],"of":[2],"this":[3],"research":[4],"study":[5,73],"was":[6],"to":[7,100],"compare":[8,81],"data":[9,17,83],"mining":[10,84],"techniques":[11],"in":[12,44,55],"predicting":[13],"student":[14],"graduation.":[15],"included":[18],"demographics,":[19],"high":[20],"school,":[21],"ACT":[22],"profile,":[23],"and":[24,65,80,86,105],"college":[25],"indicators":[26],"from":[27,71],"1995-2005":[28],"for":[29,40],"first-time,":[30],"full-time":[31],"freshman":[32],"students":[33,102,108],"with":[34],"a":[35,41],"six":[36],"year":[37],"graduation":[38],"timeline":[39],"flagship":[42],"university":[43],"the":[45,72,88],"south":[46],"east":[47],"United":[48],"States.":[49],"results":[51,70,96],"indicated":[52],"no":[53],"difference":[54],"misclassification":[56],"rates":[57],"between":[58],"logistic":[59],"regression,":[60],"decision":[61],"tree,":[62],"neural":[63],"network,":[64],"random":[66],"forest":[67],"models.":[68],"suggest":[74],"that":[75],"institutional":[76],"researchers":[77],"should":[78],"build":[79],"different":[82],"models":[85],"choose":[87],"best":[89],"one":[90],"based":[91],"on":[92],"its":[93],"advantages.":[94],"can":[97],"be":[98],"used":[99],"predict":[101],"at":[103],"risk":[104],"help":[106],"these":[107],"graduate.":[109]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}