{"id":"https://openalex.org/W4402352337","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650818","title":"An Adaptive Hoeffding Tree Model Based on Differential Entropy and Relative Entropy for Concept Drift Detection","display_name":"An Adaptive Hoeffding Tree Model Based on Differential Entropy and Relative Entropy for Concept Drift Detection","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4402352337","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650818"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn60899.2024.10650818","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10650818","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","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/A5101588404","display_name":"Wenzheng Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I56934997","display_name":"Changsha University of Science and Technology","ror":"https://ror.org/03yph8055","country_code":"CN","type":"education","lineage":["https://openalex.org/I56934997"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenzheng Liu","raw_affiliation_strings":["Changsha University of Science and Technology,School of Computer and Communication Engineering,Changsha,China"],"affiliations":[{"raw_affiliation_string":"Changsha University of Science and Technology,School of Computer and Communication Engineering,Changsha,China","institution_ids":["https://openalex.org/I56934997"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107952715","display_name":"Xiang Li","orcid":"https://orcid.org/0009-0007-3925-5878"},"institutions":[{"id":"https://openalex.org/I56934997","display_name":"Changsha University of Science and Technology","ror":"https://ror.org/03yph8055","country_code":"CN","type":"education","lineage":["https://openalex.org/I56934997"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Li","raw_affiliation_strings":["Changsha University of Science and Technology,School of Computer and Communication Engineering,Changsha,China"],"affiliations":[{"raw_affiliation_string":"Changsha University of Science and Technology,School of Computer and Communication Engineering,Changsha,China","institution_ids":["https://openalex.org/I56934997"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104291485","display_name":"Yongtong Gu","orcid":null},"institutions":[{"id":"https://openalex.org/I56934997","display_name":"Changsha University of Science and Technology","ror":"https://ror.org/03yph8055","country_code":"CN","type":"education","lineage":["https://openalex.org/I56934997"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongtong Gu","raw_affiliation_strings":["Changsha University of Science and Technology,School of Computer and Communication Engineering,Changsha,China"],"affiliations":[{"raw_affiliation_string":"Changsha University of Science and Technology,School of Computer and Communication Engineering,Changsha,China","institution_ids":["https://openalex.org/I56934997"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100781249","display_name":"Jin Li","orcid":"https://orcid.org/0000-0002-0260-3169"},"institutions":[{"id":"https://openalex.org/I56934997","display_name":"Changsha University of Science and Technology","ror":"https://ror.org/03yph8055","country_code":"CN","type":"education","lineage":["https://openalex.org/I56934997"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Li","raw_affiliation_strings":["Changsha University of Science and Technology,School of Computer and Communication Engineering,Changsha,China"],"affiliations":[{"raw_affiliation_string":"Changsha University of Science and Technology,School of Computer and Communication Engineering,Changsha,China","institution_ids":["https://openalex.org/I56934997"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015343555","display_name":"Xiaoyong Tang","orcid":"https://orcid.org/0000-0002-6661-5900"},"institutions":[{"id":"https://openalex.org/I56934997","display_name":"Changsha University of Science and Technology","ror":"https://ror.org/03yph8055","country_code":"CN","type":"education","lineage":["https://openalex.org/I56934997"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyong Tang","raw_affiliation_strings":["Changsha University of Science and Technology,School of Computer and Communication Engineering,Changsha,China"],"affiliations":[{"raw_affiliation_string":"Changsha University of Science and Technology,School of Computer and Communication Engineering,Changsha,China","institution_ids":["https://openalex.org/I56934997"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021152658","display_name":"Ronghui Cao","orcid":"https://orcid.org/0000-0001-5026-0001"},"institutions":[{"id":"https://openalex.org/I56934997","display_name":"Changsha University of Science and Technology","ror":"https://ror.org/03yph8055","country_code":"CN","type":"education","lineage":["https://openalex.org/I56934997"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ronghui Cao","raw_affiliation_strings":["Changsha University of Science and Technology,School of Computer and Communication Engineering,Changsha,China"],"affiliations":[{"raw_affiliation_string":"Changsha University of Science and Technology,School of Computer and Communication Engineering,Changsha,China","institution_ids":["https://openalex.org/I56934997"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069076046","display_name":"Tan Deng","orcid":"https://orcid.org/0000-0003-4945-9974"},"institutions":[{"id":"https://openalex.org/I56934997","display_name":"Changsha University of Science and Technology","ror":"https://ror.org/03yph8055","country_code":"CN","type":"education","lineage":["https://openalex.org/I56934997"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tan Deng","raw_affiliation_strings":["Changsha University of Science and Technology,School of Computer and Communication Engineering,Changsha,China"],"affiliations":[{"raw_affiliation_string":"Changsha University of Science and Technology,School of Computer and Communication Engineering,Changsha,China","institution_ids":["https://openalex.org/I56934997"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5115592203","display_name":"Xiaofeng Wang","orcid":"https://orcid.org/0000-0001-9670-8916"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofeng Wang","raw_affiliation_strings":["National University of Defence Technology,College of Computer,Changsha,China"],"affiliations":[{"raw_affiliation_string":"National University of Defence Technology,College of Computer,Changsha,China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5101588404"],"corresponding_institution_ids":["https://openalex.org/I56934997"],"apc_list":null,"apc_paid":null,"fwci":1.0911,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.81305188,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":1.0,"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/T12761","display_name":"Data Stream Mining Techniques","score":1.0,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9918000102043152,"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9682999849319458,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/differential-entropy","display_name":"Differential entropy","score":0.7446897029876709},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.6246475577354431},{"id":"https://openalex.org/keywords/kullback\u2013leibler-divergence","display_name":"Kullback\u2013Leibler divergence","score":0.5526712536811829},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5042110681533813},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.4804258346557617},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4130401015281677},{"id":"https://openalex.org/keywords/transfer-entropy","display_name":"Transfer entropy","score":0.4037730097770691},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34239113330841064},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.3379055857658386},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32394587993621826},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.20742881298065186},{"id":"https://openalex.org/keywords/quantum-mechanics","display_name":"Quantum mechanics","score":0.08152782917022705}],"concepts":[{"id":"https://openalex.org/C124551494","wikidata":"https://www.wikidata.org/wiki/Q3055345","display_name":"Differential entropy","level":4,"score":0.7446897029876709},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.6246475577354431},{"id":"https://openalex.org/C171752962","wikidata":"https://www.wikidata.org/wiki/Q255166","display_name":"Kullback\u2013Leibler divergence","level":2,"score":0.5526712536811829},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5042110681533813},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.4804258346557617},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4130401015281677},{"id":"https://openalex.org/C182049051","wikidata":"https://www.wikidata.org/wiki/Q17147155","display_name":"Transfer entropy","level":3,"score":0.4037730097770691},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34239113330841064},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.3379055857658386},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32394587993621826},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.20742881298065186},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.08152782917022705}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn60899.2024.10650818","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10650818","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.46000000834465027,"display_name":"Climate action"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322924","display_name":"Changsha University of Science\u00a0and\u00a0Technology","ror":"https://ror.org/03yph8055"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W3540556","https://openalex.org/W158096112","https://openalex.org/W1516923404","https://openalex.org/W1529840045","https://openalex.org/W1585854823","https://openalex.org/W1990079212","https://openalex.org/W2000454347","https://openalex.org/W2010657328","https://openalex.org/W2016159616","https://openalex.org/W2134125037","https://openalex.org/W2160512933","https://openalex.org/W2171809276","https://openalex.org/W2964126331","https://openalex.org/W2978725006","https://openalex.org/W3008164074","https://openalex.org/W3120740533","https://openalex.org/W3161172664","https://openalex.org/W3208652376","https://openalex.org/W4221145213","https://openalex.org/W4294647382","https://openalex.org/W4323645802","https://openalex.org/W4385301178","https://openalex.org/W6685747873","https://openalex.org/W6749076451"],"related_works":["https://openalex.org/W104581064","https://openalex.org/W2035036643","https://openalex.org/W2614538623","https://openalex.org/W2163103544","https://openalex.org/W1966203994","https://openalex.org/W3132181298","https://openalex.org/W3041490575","https://openalex.org/W295753746","https://openalex.org/W3204363282","https://openalex.org/W2551182807"],"abstract_inverted_index":{"The":[0,208],"concept":[1,74,125,171],"drift":[2,75,86],"detection":[3,87],"algorithm":[4],"can":[5],"timely":[6],"respond":[7],"to":[8,46,162,170,174],"and":[9,42,69,102,143,197,204,213],"adjust":[10],"the":[11,22,91,95,104,111,118,122,136,141,147,164,167,186],"model":[12,26,169],"by":[13,109],"monitoring":[14],"changes":[15],"in":[16,39,50,181],"data":[17,100,107,149],"distribution":[18],"over":[19],"time.":[20],"However,":[21],"dynamically":[23],"adjusted":[24],"ensemble":[25,168],"may":[27],"still":[28],"retain":[29],"some":[30],"components":[31,36,155],"with":[32],"weak":[33],"adaptability.":[34],"These":[35],"are":[37],"involved":[38],"subsequent":[40],"training":[41],"testing":[43],"phases,":[44],"leads":[45],"a":[47,79],"significant":[48],"decrease":[49],"classification":[51,187],"performance.":[52],"To":[53],"solve":[54],"these":[55],"problems,":[56],"this":[57],"paper":[58],"proposes":[59],"an":[60,192],"Adaptive":[61],"Hoeffding":[62],"Tree":[63],"Model":[64],"Based":[65],"on":[66,199],"Differential":[67],"Entropy":[68,71],"Relative":[70],"(AHT-DERE)":[72],"for":[73,120,156],"detection.":[76],"It":[77],"adopts":[78],"two-step":[80],"strategy:":[81],"a)":[82],"A":[83,128],"differential":[84],"entropy-based":[85,130],"method,":[88,133],"which":[89,134],"calculates":[90],"information":[92],"entropy":[93,112,138],"of":[94,124,146,159,166,184,189,195],"two":[96,182],"most":[97],"recently":[98],"arrived":[99],"samples,":[101],"quantifies":[103],"difference":[105],"between":[106,140],"distributions":[108,145],"subtracting":[110],"values.":[113],"This":[114,151],"measurement":[115],"serves":[116],"as":[117],"criteria":[119],"determining":[121],"occurrence":[123],"drift.":[126,172],"b)":[127],"relative":[129,137],"dynamic":[131],"adjustment":[132],"utilizes":[135],"similarity":[139],"fitted":[142],"true":[144],"current":[148],"samples.":[150],"method":[152],"selects":[153],"well-adapted":[154],"each":[157],"round":[158],"incremental":[160],"updates":[161],"improve":[163],"resilience":[165],"Compared":[173],"advanced":[175],"algorithms,":[176],"experimental":[177],"results":[178],"show":[179],"that":[180],"sets":[183],"experiments,":[185],"performance":[188],"AHT-DERE":[190],"achieved":[191],"average":[193],"improvement":[194,210],"6.36%":[196],"5.94%":[198],"seven":[200],"publicly":[201],"available":[202],"real-world":[203],"synthetic":[205],"datasets,":[206],"respectively.":[207,215],"maximum":[209],"reached":[211],"13.55%":[212],"10.82%,":[214]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}