{"id":"https://openalex.org/W4312429554","doi":"https://doi.org/10.1109/icccnt54827.2022.9984472","title":"Total Revenue Prediction of A Sports Management Application: Grook Using Machine Learning Models","display_name":"Total Revenue Prediction of A Sports Management Application: Grook Using Machine Learning Models","publication_year":2022,"publication_date":"2022-10-03","ids":{"openalex":"https://openalex.org/W4312429554","doi":"https://doi.org/10.1109/icccnt54827.2022.9984472"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt54827.2022.9984472","doi":"https://doi.org/10.1109/icccnt54827.2022.9984472","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt54827.2022.9984472","pdf_url":null,"source":{"id":"https://openalex.org/S4306497833","display_name":"International Conference on Computing, Communication and Networking Technologies (ICCCNT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5028313332","display_name":"Raunak Shukla","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Raunak Shukla","raw_affiliation_strings":["Vellore Institute of Technology,School of Computer Engineering (SCOPE),Vellore,India","School of Computer Engineering (SCOPE), Vellore Institute of Technology, Vellore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vellore Institute of Technology,School of Computer Engineering (SCOPE),Vellore,India","institution_ids":["https://openalex.org/I876193797"]},{"raw_affiliation_string":"School of Computer Engineering (SCOPE), Vellore Institute of Technology, Vellore, India","institution_ids":["https://openalex.org/I876193797"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074059908","display_name":"Panshul Jindal","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Panshul Jindal","raw_affiliation_strings":["Vellore Institute of Technology,School of Computer Engineering (SCOPE),Vellore,India","School of Computer Engineering (SCOPE), Vellore Institute of Technology, Vellore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vellore Institute of Technology,School of Computer Engineering (SCOPE),Vellore,India","institution_ids":["https://openalex.org/I876193797"]},{"raw_affiliation_string":"School of Computer Engineering (SCOPE), Vellore Institute of Technology, Vellore, India","institution_ids":["https://openalex.org/I876193797"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050083813","display_name":"Abhinav Gupta","orcid":"https://orcid.org/0000-0003-1513-141X","observed_orcids":["https://orcid.org/0000-0003-1513-141X"]},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Abhinav Gupta","raw_affiliation_strings":["Vellore Institute of Technology,School of Computer Engineering (SCOPE),Vellore,India","School of Computer Engineering (SCOPE), Vellore Institute of Technology, Vellore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vellore Institute of Technology,School of Computer Engineering (SCOPE),Vellore,India","institution_ids":["https://openalex.org/I876193797"]},{"raw_affiliation_string":"School of Computer Engineering (SCOPE), Vellore Institute of Technology, Vellore, India","institution_ids":["https://openalex.org/I876193797"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067257243","display_name":"Hemprasad Yashwant Patil","orcid":"https://orcid.org/0000-0002-8572-0765","observed_orcids":["https://orcid.org/0000-0002-8572-0765"]},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Hemprasad Yashwant Patil","raw_affiliation_strings":["Vellore Institute of Technology,School of Electronics Engineering (SENSE),Vellore,India","School of Electronics Engineering (SENSE), Vellore Institute of Technology, Vellore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vellore Institute of Technology,School of Electronics Engineering (SENSE),Vellore,India","institution_ids":["https://openalex.org/I876193797"]},{"raw_affiliation_string":"School of Electronics Engineering (SENSE), Vellore Institute of Technology, Vellore, India","institution_ids":["https://openalex.org/I876193797"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I876193797"],"apc_list":null,"apc_paid":null,"fwci":0.6903,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.64808822,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":96},"biblio":{"volume":"107","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.6211000084877014,"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/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.6211000084877014,"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/T11918","display_name":"Forecasting Techniques and Applications","score":0.2583000063896179,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11674","display_name":"Sports Analytics and Performance","score":0.06120000034570694,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/ensemble-regression","display_name":"ensemble regression","score":0.5740000009536743},{"id":"https://openalex.org/keywords/polynomial-features","display_name":"polynomial features","score":0.7639999985694885},{"id":"https://openalex.org/keywords/ridge-regression","display_name":"ridge regression","score":0.6899999976158142},{"id":"https://openalex.org/keywords/lasso","display_name":"LASSO","score":0.9850000143051147},{"id":"https://openalex.org/keywords/elastic-net","display_name":"elastic net","score":0.9580000042915344},{"id":"https://openalex.org/keywords/regression-trees","display_name":"regression trees","score":0.6819999814033508},{"id":"https://openalex.org/keywords/support-vector-regression","display_name":"support vector regression","score":0.9259999990463257},{"id":"https://openalex.org/keywords/stochastic-gradient-descent","display_name":"stochastic gradient descent","score":0.8619999885559082},{"id":"https://openalex.org/keywords/voting-classifier","display_name":"voting classifier","score":0.7630000114440918}],"concepts":[{"id":"https://openalex.org/C195487862","wikidata":"https://www.wikidata.org/wiki/Q850210","display_name":"Revenue","level":2,"score":0.6627405881881714},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6524950861930847},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6464357972145081},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5782619118690491},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5605977773666382},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5503293871879578},{"id":"https://openalex.org/C181622380","wikidata":"https://www.wikidata.org/wiki/Q26911","display_name":"Profit (economics)","level":2,"score":0.5223297476768494},{"id":"https://openalex.org/C55166926","wikidata":"https://www.wikidata.org/wiki/Q2892946","display_name":"Oracle","level":2,"score":0.5086861252784729},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.4868437647819519},{"id":"https://openalex.org/C2780964353","wikidata":"https://www.wikidata.org/wiki/Q7318025","display_name":"Revenue sharing","level":3,"score":0.4822986125946045},{"id":"https://openalex.org/C206688291","wikidata":"https://www.wikidata.org/wiki/Q7617819","display_name":"Stochastic gradient descent","level":3,"score":0.45261603593826294},{"id":"https://openalex.org/C203868755","wikidata":"https://www.wikidata.org/wiki/Q5353562","display_name":"Elastic net regularization","level":3,"score":0.4211500287055969},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3940185606479645},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19018206000328064},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.10876283049583435},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.10335466265678406},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.10298117995262146},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.09768486022949219},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt54827.2022.9984472","doi":"https://doi.org/10.1109/icccnt54827.2022.9984472","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt54827.2022.9984472","pdf_url":null,"source":{"id":"https://openalex.org/S4306497833","display_name":"International Conference on Computing, Communication and Networking Technologies (ICCCNT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1535753778","https://openalex.org/W1571836963","https://openalex.org/W1587559447","https://openalex.org/W1964357740","https://openalex.org/W1965961515","https://openalex.org/W1987552279","https://openalex.org/W1994848651","https://openalex.org/W2012816719","https://openalex.org/W2037716943","https://openalex.org/W2053834050","https://openalex.org/W2091825929","https://openalex.org/W2095795470","https://openalex.org/W2106398669","https://openalex.org/W2122825543","https://openalex.org/W2127919322","https://openalex.org/W2270330859","https://openalex.org/W2296402327","https://openalex.org/W2302881059","https://openalex.org/W2315557647","https://openalex.org/W2600746833","https://openalex.org/W2734867172","https://openalex.org/W2792917140","https://openalex.org/W2997741942","https://openalex.org/W3134840015","https://openalex.org/W3196598381","https://openalex.org/W4256211916"],"related_works":["https://openalex.org/W4388755225","https://openalex.org/W4386582762","https://openalex.org/W4313269944","https://openalex.org/W4387358859","https://openalex.org/W4406530391","https://openalex.org/W3211193619","https://openalex.org/W7212164188","https://openalex.org/W4291178505","https://openalex.org/W3117147967","https://openalex.org/W3200075471"],"abstract_inverted_index":{"Grook":[0],"is":[1,73],"a":[2,8,29,104,198],"sports":[3,14,49],"management":[4],"app":[5],"that":[6,115],"provides":[7],"solution":[9],"for":[10,23,169],"people":[11],"to":[12,27,32,38,61,97,118,125,172,213],"book":[13],"grounds,":[15],"courts,":[16],"and":[17,44,64,113,156,161],"other":[18],"facilities":[19,41,50],"in":[20,51,65,89,111,129],"their":[21,40],"neighborhood":[22],"particular":[24,84],"time":[25],"slots":[26],"ensure":[28],"free":[30],"space":[31],"play.":[33],"It":[34],"allows":[35],"the":[36,52,55,66,70,74,99,120,126,130,174,179,190,201],"owners":[37],"manage":[39],"more":[42],"efficiently":[43],"also":[45,139,188],"aggregate":[46],"all":[47],"available":[48],"vicinity":[53],"of":[54,68,182,193,200,219],"user's":[56],"location.":[57],"Every":[58],"business":[59],"runs":[60],"earn":[62],"profit":[63,71],"case":[67],"Grook,":[69],"earned":[72],"total":[75,100,183],"revenue":[76,101,184],"generated":[77,102],"by":[78],"any":[79,83],"given":[80],"facility":[81,105],"on":[82,103],"day.":[85],"Therefore,":[86],"as":[87],"indicated":[88],"this":[90],"study,":[91],"we":[92,137,186],"have":[93,138,187,207],"trained":[94],"our":[95,141,220],"model":[96],"predict":[98],"using":[106],"ensemble":[107],"Machine":[108],"Learning":[109],"Techniques":[110],"Regression":[112,154],"Classification":[114],"are":[116],"suggested":[117],"enhance":[119],"existing":[121,127],"algorithms.":[122],"In":[123],"addition":[124],"features":[128,206],"dataset":[131],"like":[132],"sports,":[133],"days,":[134],"months,":[135],"etc.,":[136],"added":[140],"polynomial":[142,205],"features.":[143],"We\u2019ve":[144],"tested":[145,209],"algorithms":[146,202],"including":[147],"Simple,":[148],"Polynomial,":[149],"Ridge,":[150],"Lasso,":[151],"Elastic":[152],"Net":[153],"Techniques,":[155],"Decision":[157],"Tree,":[158],"Support":[159],"Vector,":[160],"Stochastic":[162],"Gradient":[163],"Descent":[164],"Regressors":[165],"making":[166],"special":[167],"models":[168],"each":[170],"technique":[171],"get":[173,214],"best":[175,180],"results.":[176],"To":[177],"make":[178],"prediction":[181],"generated,":[185],"used":[189],"voting":[191],"method":[192],"machine":[194],"learning":[195],"which":[196],"includes":[197],"few":[199],"mentioned.":[203],"The":[204],"been":[208],"over":[210],"several":[211],"degrees":[212],"an":[215],"even":[216],"better":[217],"understanding":[218],"model\u2019s":[221],"accuracy.":[222]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2023-01-04T00:00:00"}
