{"id":"https://openalex.org/W4403362793","doi":"https://doi.org/10.48550/arxiv.2409.19916","title":"Deep Learning and Machine Learning, Advancing Big Data Analytics and\n Management: Object-Oriented Programming","display_name":"Deep Learning and Machine Learning, Advancing Big Data Analytics and\n Management: Object-Oriented Programming","publication_year":2024,"publication_date":"2024-09-29","ids":{"openalex":"https://openalex.org/W4403362793","doi":"https://doi.org/10.48550/arxiv.2409.19916"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2409.19916","pdf_url":"http://arxiv.org/pdf/2409.19916","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"type":"preprint","type_crossref":"posted-content","indexed_in":["arxiv"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://arxiv.org/pdf/2409.19916","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100656830","display_name":"Tianyang Wang","orcid":"https://orcid.org/0000-0002-7256-883X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Tianyang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108304756","display_name":"Ziqian Bi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bi, Ziqian","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101430780","display_name":"Keyu Chen","orcid":"https://orcid.org/0000-0003-0808-2533"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Keyu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089070385","display_name":"Jiawei Xu","orcid":"https://orcid.org/0000-0002-4150-0971"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Jiawei","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001865341","display_name":"Qian Niu","orcid":"https://orcid.org/0000-0001-7139-384X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Niu, Qian","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100682735","display_name":"Junyu Liu","orcid":"https://orcid.org/0000-0001-7667-6451"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Junyu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113390218","display_name":"Benji Peng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peng, Benji","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107956940","display_name":"Ming Li","orcid":"https://orcid.org/0000-0003-3081-2424"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Ming","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100378893","display_name":"Sen Zhang","orcid":"https://orcid.org/0000-0002-8010-6045"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Sen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091365447","display_name":"Xiaoyong Pan","orcid":"https://orcid.org/0000-0001-5010-464X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pan, Xuanhe","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047629664","display_name":"Jinlang Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Jinlang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109759394","display_name":"Pohsun Feng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Feng, Pohsun","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020602843","display_name":"Caitlyn Heqi Yin","orcid":"https://orcid.org/0009-0006-5037-8716"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yin, Caitlyn Heqi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111363143","display_name":"Yizhu Wen","orcid":"https://orcid.org/0009-0008-0479-4991"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wen, Yizhu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100347785","display_name":"Ming Liu","orcid":"https://orcid.org/0000-0002-4500-238X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Ming","raw_affiliation_strings":[],"affiliations":[]}],"institution_assertions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":83},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11891","display_name":"Big Data and Business Intelligence","score":0.5523,"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"}},"topics":[{"id":"https://openalex.org/T11891","display_name":"Big Data and Business Intelligence","score":0.5523,"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/learning-analytics","display_name":"Learning Analytics","score":0.5133242}],"concepts":[{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.7688507},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.64469624},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5264937},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.520518},{"id":"https://openalex.org/C2777648619","wikidata":"https://www.wikidata.org/wiki/Q2845208","display_name":"Learning analytics","level":2,"score":0.5133242},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.48100767},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4724458},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.45559382},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3685595},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.13688344}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2409.19916","pdf_url":"http://arxiv.org/pdf/2409.19916","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2409.19916","pdf_url":"http://arxiv.org/pdf/2409.19916","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W605203981","https://openalex.org/W4292348877","https://openalex.org/W2911048623","https://openalex.org/W2816728186","https://openalex.org/W2804624249","https://openalex.org/W2799586942","https://openalex.org/W2560130217","https://openalex.org/W2504091800","https://openalex.org/W2331775400","https://openalex.org/W1987827786"],"abstract_inverted_index":{"Object-Oriented":[0],"Programming":[1],"(OOP)":[2],"has":[3],"become":[4],"a":[5,35,48,96,179],"crucial":[6],"paradigm":[7],"for":[8,181],"managing":[9],"the":[10,39,61,66,119,140,190,202],"growing":[11],"complexity":[12],"of":[13,41,63,68,75,89,123,142,204],"modern":[14],"software":[15],"systems,":[16],"particularly":[17],"in":[18,100,197],"fields":[19],"like":[20],"machine":[21,124,145,163],"learning,":[22,24],"deep":[23],"large":[25],"language":[26,99],"models":[27],"(LLM),":[28],"and":[29,55,65,84,102,111,121,149,170,184,207],"data":[30,103],"analytics.":[31],"This":[32],"work":[33,173],"provides":[34],"comprehensive":[36],"introduction":[37],"to":[38,117,135,159,176,193],"integration":[40],"OOP":[42,77,133,155,195],"techniques":[43],"within":[44],"these":[45,90,132],"domains,":[46],"with":[47,189],"focus":[49],"on":[50],"improving":[51],"code":[52,168],"modularity,":[53],"maintainability,":[54],"scalability.":[56],"We":[57],"begin":[58],"by":[59,71],"outlining":[60],"evolution":[62],"computing":[64],"rise":[67],"OOP,":[69],"followed":[70],"an":[72],"in-depth":[73],"discussion":[74],"key":[76],"principles":[78,91],"such":[79],"as":[80,178],"encapsulation,":[81],"inheritance,":[82],"polymorphism,":[83],"abstraction.":[85],"The":[86],"practical":[87],"application":[88],"is":[92,174],"demonstrated":[93],"using":[94],"Python,":[95],"widely":[97],"adopted":[98],"AI":[101,137],"science.":[104],"Furthermore,":[105],"we":[106,130],"examine":[107],"how":[108,154],"design":[109],"patterns":[110],"modular":[112],"programming":[113],"can":[114,156],"be":[115,157],"employed":[116],"enhance":[118],"structure":[120],"efficiency":[122],"learning":[125,146,164],"systems.":[126,209],"In":[127],"subsequent":[128],"sections,":[129],"apply":[131,194],"concepts":[134],"real-world":[136],"tasks,":[138],"including":[139],"encapsulation":[141],"preprocessing":[143],"workflows,":[144],"model":[147],"training,":[148],"evaluation.":[150],"Detailed":[151],"examples":[152],"illustrate":[153],"used":[158],"build":[160],"reusable,":[161],"scalable":[162],"systems":[165],"while":[166],"maintaining":[167],"clarity":[169],"reducing":[171],"redundancy.This":[172],"intended":[175],"serve":[177],"bridge":[180],"both":[182],"beginners":[183],"experienced":[185],"developers,":[186],"equipping":[187],"them":[188],"necessary":[191],"knowledge":[192],"methodologies":[196],"AI-driven":[198],"projects,":[199],"ultimately":[200],"fostering":[201],"development":[203],"more":[205],"robust":[206],"maintainable":[208]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4403362793","counts_by_year":[],"updated_date":"2025-01-20T14:06:32.838955","created_date":"2024-10-13"}