{"id":"https://openalex.org/W4360585065","doi":"https://doi.org/10.1109/ic3i56241.2022.10072623","title":"BDT: An Ada Boost Classifier Ensemble with Decision Tree for Traffic Network Prediction","display_name":"BDT: An Ada Boost Classifier Ensemble with Decision Tree for Traffic Network Prediction","publication_year":2022,"publication_date":"2022-12-14","ids":{"openalex":"https://openalex.org/W4360585065","doi":"https://doi.org/10.1109/ic3i56241.2022.10072623"},"language":"en","primary_location":{"id":"doi:10.1109/ic3i56241.2022.10072623","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3i56241.2022.10072623","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 5th International Conference on Contemporary Computing and Informatics (IC3I)","raw_type":"proceedings-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/A5063320688","display_name":"N. Deeban","orcid":null},"institutions":[{"id":"https://openalex.org/I85461943","display_name":"Saveetha University","ror":"https://ror.org/0034me914","country_code":"IN","type":"education","lineage":["https://openalex.org/I85461943"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"N. Deeban","raw_affiliation_strings":["Institute of Electronics and Communication Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences,Department of VLSI Microelectronics,Chennai,Tamil Nadu,India","Department of VLSI Microelectronics, Institute of Electronics and Communication Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamil Nadu, India"],"affiliations":[{"raw_affiliation_string":"Institute of Electronics and Communication Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences,Department of VLSI Microelectronics,Chennai,Tamil Nadu,India","institution_ids":["https://openalex.org/I85461943"]},{"raw_affiliation_string":"Department of VLSI Microelectronics, Institute of Electronics and Communication Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamil Nadu, India","institution_ids":["https://openalex.org/I85461943"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100693166","display_name":"P. Shyamala Bharathi","orcid":null},"institutions":[{"id":"https://openalex.org/I85461943","display_name":"Saveetha University","ror":"https://ror.org/0034me914","country_code":"IN","type":"education","lineage":["https://openalex.org/I85461943"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"P.Shyamala Bharathi","raw_affiliation_strings":["Institute of Electronics and Communication Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences,Department of VLSI Microelectronics,Chennai,Tamil Nadu,India","Department of VLSI Microelectronics, Institute of Electronics and Communication Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamil Nadu, India"],"affiliations":[{"raw_affiliation_string":"Institute of Electronics and Communication Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences,Department of VLSI Microelectronics,Chennai,Tamil Nadu,India","institution_ids":["https://openalex.org/I85461943"]},{"raw_affiliation_string":"Department of VLSI Microelectronics, Institute of Electronics and Communication Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamil Nadu, India","institution_ids":["https://openalex.org/I85461943"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5063320688"],"corresponding_institution_ids":["https://openalex.org/I85461943"],"apc_list":null,"apc_paid":null,"fwci":0.2652,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.63538186,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1926","last_page":"1931"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9987000226974487,"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"}},"topics":[{"id":"https://openalex.org/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9987000226974487,"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/T14258","display_name":"Legal and Policy Issues","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/3308","display_name":"Law"},"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9577999711036682,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7932732105255127},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.7236108779907227},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.6886874437332153},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.6793789863586426},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6536217331886292},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6207473278045654},{"id":"https://openalex.org/keywords/traffic-classification","display_name":"Traffic classification","score":0.5952064990997314},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.49514833092689514},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.4871253967285156},{"id":"https://openalex.org/keywords/decision-tree-learning","display_name":"Decision tree learning","score":0.4498139023780823},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.43238401412963867},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"Gradient boosting","score":0.42887449264526367},{"id":"https://openalex.org/keywords/decision-stump","display_name":"Decision stump","score":0.4281388521194458},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.40311723947525024},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.24981310963630676},{"id":"https://openalex.org/keywords/incremental-decision-tree","display_name":"Incremental decision tree","score":0.12996265292167664}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7932732105255127},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.7236108779907227},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.6886874437332153},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6793789863586426},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6536217331886292},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6207473278045654},{"id":"https://openalex.org/C169988225","wikidata":"https://www.wikidata.org/wiki/Q7832484","display_name":"Traffic classification","level":3,"score":0.5952064990997314},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.49514833092689514},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.4871253967285156},{"id":"https://openalex.org/C5481197","wikidata":"https://www.wikidata.org/wiki/Q16766476","display_name":"Decision tree learning","level":3,"score":0.4498139023780823},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.43238401412963867},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.42887449264526367},{"id":"https://openalex.org/C141291300","wikidata":"https://www.wikidata.org/wiki/Q5249244","display_name":"Decision stump","level":5,"score":0.4281388521194458},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.40311723947525024},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.24981310963630676},{"id":"https://openalex.org/C10229987","wikidata":"https://www.wikidata.org/wiki/Q17083028","display_name":"Incremental decision tree","level":4,"score":0.12996265292167664},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ic3i56241.2022.10072623","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3i56241.2022.10072623","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 5th International Conference on Contemporary Computing and Informatics (IC3I)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2990178517","https://openalex.org/W3011061399","https://openalex.org/W3013957713","https://openalex.org/W3090440163","https://openalex.org/W3111734129","https://openalex.org/W3123791865","https://openalex.org/W3124816661","https://openalex.org/W3161863444","https://openalex.org/W4200594584","https://openalex.org/W4220688378","https://openalex.org/W4285102389"],"related_works":["https://openalex.org/W4385447970","https://openalex.org/W4298012357","https://openalex.org/W1992847598","https://openalex.org/W4381786038","https://openalex.org/W2900228664","https://openalex.org/W3121470058","https://openalex.org/W4387977367","https://openalex.org/W2356463514","https://openalex.org/W1989495997","https://openalex.org/W2506185983"],"abstract_inverted_index":{"The":[0,39,111],"identification":[1,34],"of":[2,8,17,35,49,72,80,107,123,176,183,212,222],"network":[3,18,21,36,56,150],"traffic":[4,37,61,92,152],"is":[5,25,30,57,117,132,137,173,219],"now":[6,133],"one":[7,199],"the":[9,15,33,46,60,64,77,108,134,138,204,210,213,216],"most":[10,139,206],"active":[11],"study":[12],"areas":[13,16],"in":[14,42],"management":[19],"and":[20,44,69,98,125],"security.":[22],"Machine":[23,112],"learning":[24,178],"a":[26,55,105,120,174,181,187],"key":[27],"technology":[28],"that":[29,51,136,179],"utilized":[31],"during":[32],"research.":[38],"first":[40],"step":[41],"analyzing":[43],"determining":[45],"various":[47],"kinds":[48],"applications":[50],"are":[52,103,203],"moving":[53],"across":[54],"to":[58],"classify":[59],"flowing":[62],"through":[63],"network.":[65],"Internet":[66],"service":[67],"providers":[68],"other":[70,227],"operators":[71],"networks":[73,82],"can":[74],"better":[75],"manage":[76],"overall":[78],"functioning":[79],"their":[81],"by":[83,119],"utilizing":[84,156],"this":[85,143],"method.":[86],"Traditional":[87],"techniques":[88],"for":[89,153],"classifying":[90],"internet":[91],"include":[93],"things":[94],"like":[95],"port-based,":[96],"pay-load-based,":[97],"machine-learning-based":[99],"methods.":[100],"These":[101],"methods":[102,205],"only":[104,198],"few":[106],"many":[109],"available.":[110],"Learning":[113],"(ML)":[114],"methodology,":[115],"which":[116],"employed":[118],"great":[121],"number":[122],"researchers":[124],"has":[126],"gotten":[127],"extremely":[128],"effective":[129],"accuracy":[130,218],"results,":[131],"method":[135],"often":[140,207],"used.":[141,208],"In":[142],"study,":[144],"we":[145],"have":[146],"concentrated":[147],"on":[148],"evaluating":[149],"data":[151],"5G":[154],"Network":[155],"an":[157,220],"ensemble":[158,163,177],"approach":[159],"known":[160],"as":[161],"AdaBoost":[162,191],"with":[164,194,197],"Decision":[165],"Tree":[166],"(BDT).":[167],"To":[168],"decrease":[169],"training":[170],"errors,":[171],"boosting":[172],"sort":[175],"integrates":[180],"set":[182],"weak":[184],"learners":[185],"into":[186],"single":[188],"powerful":[189],"learner.":[190],"works":[192],"well":[193],"decision":[195],"trees":[196],"level,":[200],"hence":[201],"these":[202],"On":[209],"basis":[211],"test":[214],"data,":[215],"classification":[217],"average":[221],"98.2":[223],"percent,":[224],"significantly":[225],"surpassing":[226],"approaches.":[228]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
