{"id":"https://openalex.org/W2004927330","doi":"https://doi.org/10.4018/ijtem.2014010107","title":"iRecruit","display_name":"iRecruit","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2004927330","doi":"https://doi.org/10.4018/ijtem.2014010107","mag":"2004927330"},"language":"en","primary_location":{"id":"doi:10.4018/ijtem.2014010107","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijtem.2014010107","pdf_url":null,"source":{"id":"https://openalex.org/S4210172606","display_name":"International Journal of Technology and Educational Marketing","issn_l":"2155-5605","issn":["2155-5605","2155-5613"],"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 Technology and Educational Marketing","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/A5066450425","display_name":"Sheila Abaya","orcid":null},"institutions":[{"id":"https://openalex.org/I134037030","display_name":"University of the East","ror":"https://ror.org/03mjcd737","country_code":"PH","type":"education","lineage":["https://openalex.org/I134037030"]}],"countries":["PH"],"is_corresponding":true,"raw_author_name":"Sheila A. Abaya","raw_affiliation_strings":["University of the East, Caloocan, Philippines"],"affiliations":[{"raw_affiliation_string":"University of the East, Caloocan, Philippines","institution_ids":["https://openalex.org/I134037030"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5066450425"],"corresponding_institution_ids":["https://openalex.org/I134037030"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15607727,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"4","issue":"1","first_page":"86","last_page":"94"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9815999865531921,"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"}},"topics":[{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9815999865531921,"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/T11122","display_name":"Online Learning and Analytics","score":0.9782999753952026,"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/T11891","display_name":"Big Data and Business Intelligence","score":0.975600004196167,"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/computer-science","display_name":"Computer science","score":0.7299542427062988},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5227846503257751},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5025322437286377},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4960854947566986},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.47669050097465515},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.4642624855041504},{"id":"https://openalex.org/keywords/limit","display_name":"Limit (mathematics)","score":0.4410790503025055},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.4408484101295471},{"id":"https://openalex.org/keywords/root","display_name":"Root (linguistics)","score":0.43066170811653137},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41089940071105957},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3606363534927368},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19256752729415894},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09380623698234558}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7299542427062988},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5227846503257751},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5025322437286377},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4960854947566986},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.47669050097465515},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.4642624855041504},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.4410790503025055},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.4408484101295471},{"id":"https://openalex.org/C171078966","wikidata":"https://www.wikidata.org/wiki/Q111029","display_name":"Root (linguistics)","level":2,"score":0.43066170811653137},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41089940071105957},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3606363534927368},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19256752729415894},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09380623698234558},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.4018/ijtem.2014010107","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijtem.2014010107","pdf_url":null,"source":{"id":"https://openalex.org/S4210172606","display_name":"International Journal of Technology and Educational Marketing","issn_l":"2155-5605","issn":["2155-5605","2155-5613"],"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 Technology and Educational Marketing","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:igg:jtem00:v:4:y:2014:i:1:p:86-94","is_oa":false,"landing_page_url":"http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijtem.2014010107","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":4,"referenced_works":["https://openalex.org/W96214726","https://openalex.org/W1523179845","https://openalex.org/W2087625952","https://openalex.org/W2342974662"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4247566972","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W4233347783","https://openalex.org/W2910064364","https://openalex.org/W4255224757","https://openalex.org/W2499527417"],"abstract_inverted_index":{"This":[0],"paper":[1],"discusses":[2],"the":[3,21,46,55,59,67,72,87,99,106,116,132,141,147,157],"implementation":[4],"of":[5,30,48,108,119,130,143,149,170],"C4.5":[6,31],"classification":[7,35],"technique":[8,36],"in":[9,25,41,168],"a":[10,17,34,38],"marketing":[11,117],"function.":[12],"It":[13,137],"also":[14],"serves":[15],"as":[16,33,82],"method":[18,68],"to":[19,74,85,96,123,139,156],"determine":[20],"possible":[22],"hit":[23],"rate":[24],"tertiary":[26],"institutions.":[27],"The":[28,61,113,152],"use":[29],"algorithm":[32],"made":[37],"big":[39],"effect":[40],"identifying":[42,131],"which":[43],"records":[44],"among":[45],"bulk":[47],"data":[49,101],"should":[50],"be":[51],"grouped":[52],"accordingly":[53],"considering":[54],"criteria":[56],"stipulated":[57],"by":[58,66],"user.":[60],"Decision":[62],"Tree":[63],"(DT)":[64],"generated":[65],"was":[69,80],"parsed":[70],"from":[71],"root":[73],"its":[75],"corresponding":[76],"sub":[77],"tree":[78],"and":[79,102,127,145],"used":[81],"an":[83,125,162],"input":[84],"create":[86],"query":[88,91],"statements.":[89],"These":[90],"statements":[92],"however":[93],"were":[94],"executed":[95],"automatically":[97],"filter":[98],"historical":[100],"come":[103],"up":[104],"with":[105],"list":[107],"potential":[109,133],"institutions":[110],"for":[111,135],"enrollment.":[112],"tool":[114,153],"enables":[115],"department":[118],"every":[120],"educational":[121],"organization":[122],"find":[124],"effective":[126],"efficient":[128],"way":[129],"market":[134],"recruitment.":[136,171],"aims":[138],"increase":[140],"number":[142],"enrollees":[144],"limit":[146],"utilization":[148],"other":[150],"resources.":[151],"is":[154],"beneficial":[155],"Education":[158],"Data":[159],"Mining":[160],"(EDM),":[161],"emerging":[163],"technology":[164],"at":[165],"present":[166],"time":[167],"terms":[169]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}
