{"id":"https://openalex.org/W3101016797","doi":"https://doi.org/10.1109/iccc49849.2020.9238996","title":"A Stacking Ensemble Learning Model for Mobile Traffic Prediction","display_name":"A Stacking Ensemble Learning Model for Mobile Traffic Prediction","publication_year":2020,"publication_date":"2020-08-09","ids":{"openalex":"https://openalex.org/W3101016797","doi":"https://doi.org/10.1109/iccc49849.2020.9238996","mag":"3101016797"},"language":"en","primary_location":{"id":"doi:10.1109/iccc49849.2020.9238996","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccc49849.2020.9238996","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE/CIC International Conference on Communications in China (ICCC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100363805","display_name":"Zhigang Li","orcid":"https://orcid.org/0000-0002-6230-6959"},"institutions":[{"id":"https://openalex.org/I137506752","display_name":"North China University of Science and Technology","ror":"https://ror.org/04z4wmb81","country_code":"CN","type":"education","lineage":["https://openalex.org/I137506752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhigang Li","raw_affiliation_strings":["College of Artificial Intelligence, North China University of Science and Technology, Tangshan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, North China University of Science and Technology, Tangshan, China","institution_ids":["https://openalex.org/I137506752"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108047402","display_name":"Di Cai","orcid":"https://orcid.org/0000-0002-3843-7414"},"institutions":[{"id":"https://openalex.org/I137506752","display_name":"North China University of Science and Technology","ror":"https://ror.org/04z4wmb81","country_code":"CN","type":"education","lineage":["https://openalex.org/I137506752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Cai","raw_affiliation_strings":["College of Artificial Intelligence, North China University of Science and Technology, Tangshan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, North China University of Science and Technology, Tangshan, China","institution_ids":["https://openalex.org/I137506752"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023449434","display_name":"Jialin Wang","orcid":"https://orcid.org/0000-0002-2811-6107"},"institutions":[{"id":"https://openalex.org/I137506752","display_name":"North China University of Science and Technology","ror":"https://ror.org/04z4wmb81","country_code":"CN","type":"education","lineage":["https://openalex.org/I137506752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jialin Wang","raw_affiliation_strings":["College of Artificial Intelligence, North China University of Science and Technology, Tangshan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, North China University of Science and Technology, Tangshan, China","institution_ids":["https://openalex.org/I137506752"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081078163","display_name":"Jingchang Fu","orcid":"https://orcid.org/0000-0002-5149-2821"},"institutions":[{"id":"https://openalex.org/I137506752","display_name":"North China University of Science and Technology","ror":"https://ror.org/04z4wmb81","country_code":"CN","type":"education","lineage":["https://openalex.org/I137506752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingchang Fu","raw_affiliation_strings":["College of Artificial Intelligence, North China University of Science and Technology, Tangshan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, North China University of Science and Technology, Tangshan, China","institution_ids":["https://openalex.org/I137506752"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109406886","display_name":"Linlin Qin","orcid":"https://orcid.org/0000-0003-1299-0518"},"institutions":[{"id":"https://openalex.org/I137506752","display_name":"North China University of Science and Technology","ror":"https://ror.org/04z4wmb81","country_code":"CN","type":"education","lineage":["https://openalex.org/I137506752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linlin Qin","raw_affiliation_strings":["College of Artificial Intelligence, North China University of Science and Technology, Tangshan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, North China University of Science and Technology, Tangshan, China","institution_ids":["https://openalex.org/I137506752"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015304408","display_name":"Duomin Fu","orcid":null},"institutions":[{"id":"https://openalex.org/I137506752","display_name":"North China University of Science and Technology","ror":"https://ror.org/04z4wmb81","country_code":"CN","type":"education","lineage":["https://openalex.org/I137506752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Duomin Fu","raw_affiliation_strings":["College of Artificial Intelligence, North China University of Science and Technology, Tangshan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, North China University of Science and Technology, Tangshan, China","institution_ids":["https://openalex.org/I137506752"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I137506752"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"542","last_page":"547"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10138","display_name":"Network Traffic and Congestion Control","score":0.9871000051498413,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/computer-science","display_name":"Computer science","score":0.8031353950500488},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6137668490409851},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.6061173677444458},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5667382478713989},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.5289167165756226},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5101833343505859},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4978063106536865},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3794197142124176},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3232947587966919}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8031353950500488},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6137668490409851},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.6061173677444458},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5667382478713989},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.5289167165756226},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5101833343505859},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4978063106536865},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3794197142124176},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3232947587966919},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccc49849.2020.9238996","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccc49849.2020.9238996","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE/CIC International Conference on Communications in China (ICCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3918379676","display_name":null,"funder_award_id":"F2018209181","funder_id":"https://openalex.org/F4320322163","funder_display_name":"Natural Science Foundation of Hebei Province"}],"funders":[{"id":"https://openalex.org/F4320322163","display_name":"Natural Science Foundation of Hebei Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1975976087","https://openalex.org/W1982271317","https://openalex.org/W2008050356","https://openalex.org/W2051154828","https://openalex.org/W2339937613","https://openalex.org/W2426266227","https://openalex.org/W2441489703","https://openalex.org/W2551205347","https://openalex.org/W2716009774","https://openalex.org/W2742537553","https://openalex.org/W2769747407","https://openalex.org/W2790380685","https://openalex.org/W2811111226","https://openalex.org/W2852531941","https://openalex.org/W2890072063","https://openalex.org/W2896406755","https://openalex.org/W2916664939","https://openalex.org/W2919941951","https://openalex.org/W2946594284","https://openalex.org/W2963241156","https://openalex.org/W2969849903","https://openalex.org/W3017367767","https://openalex.org/W6717868639"],"related_works":["https://openalex.org/W4205958290","https://openalex.org/W3194539120","https://openalex.org/W3136979370","https://openalex.org/W4285741730","https://openalex.org/W4361795583","https://openalex.org/W2979979539","https://openalex.org/W2783038087","https://openalex.org/W4316082230","https://openalex.org/W2750664433","https://openalex.org/W3120965611"],"abstract_inverted_index":{"Mobile":[0],"traffic":[1,60,100],"prediction":[2,61,126],"has":[3],"been":[4],"the":[5,38,41,65,90,113,129],"foundation":[6],"to":[7,31,37,119],"enable":[8],"effective":[9],"network":[10,123],"design":[11],"and":[12,85],"intelligent":[13],"management.":[14],"Machine":[15],"learning":[16,68],"(ML)":[17],"methods":[18,29],"have":[19],"drawn":[20],"extensive":[21],"concern":[22],"in":[23,125],"this":[24,53,134],"field.":[25],"However,":[26],"many":[27],"existing":[28],"fail":[30],"reach":[32],"a":[33,44,57,77,86],"satisfactory":[34],"outcome,":[35],"due":[36],"fact":[39],"that":[40,112],"performance":[42],"of":[43,73,102],"single":[45],"ML":[46],"model":[47,62,71,95,115],"is":[48,116],"not":[49],"always":[50],"good.":[51],"In":[52],"paper,":[54],"we":[55,110],"develop":[56],"novel":[58],"mobile":[59,99,104],"based":[63],"on":[64],"stacking":[66],"ensemble":[67],"method.":[69],"This":[70],"consists":[72],"two":[74],"parts,":[75],"i.e.,":[76],"base":[78,108],"learner":[79,88],"with":[80],"distributed":[81],"multilayer":[82],"perceptrons":[83],"(MLPs)":[84],"meta":[87],"called":[89],"self-adaptive":[91],"support":[92],"vector":[93],"regression":[94],"(SSVR).":[96],"On":[97],"real-world":[98],"flows":[101],"various":[103],"applications":[105],"at":[106],"different":[107],"stations,":[109],"demonstrate":[111],"proposed":[114],"significantly":[117],"superior":[118],"some":[120],"other":[121],"advanced":[122],"models":[124],"performance.":[127],"Besides,":[128],"statistical":[130],"analysis":[131],"method":[132],"verifies":[133],"effectiveness.":[135]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}