{"id":"https://openalex.org/W2000840397","doi":"https://doi.org/10.1155/2014/497354","title":"A Dynamic Ensemble Framework for Mining Textual Streams with Class Imbalance","display_name":"A Dynamic Ensemble Framework for Mining Textual Streams with Class Imbalance","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2000840397","doi":"https://doi.org/10.1155/2014/497354","mag":"2000840397","pmid":"https://pubmed.ncbi.nlm.nih.gov/24982961"},"language":"en","primary_location":{"id":"doi:10.1155/2014/497354","doi":"https://doi.org/10.1155/2014/497354","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2014/497354","pdf_url":"https://downloads.hindawi.com/journals/tswj/2014/497354.pdf","source":{"id":"https://openalex.org/S29243050","display_name":"The Scientific World JOURNAL","issn_l":"1537-744X","issn":["1537-744X","2356-6140"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","jufo-1","ki-jl-1","medline","norway-1"],"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869","https://openalex.org/P4310320595"],"host_organization_lineage_names":["Hindawi Publishing Corporation","Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Scientific World Journal","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://downloads.hindawi.com/journals/tswj/2014/497354.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049566038","display_name":"Ge Song","orcid":"https://orcid.org/0000-0003-4711-2758","observed_orcids":["https://orcid.org/0000-0003-4711-2758"]},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ge Song","raw_affiliation_strings":["Shenzhen Key Laboratory of Internet Information Collaboration, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen 518055, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Key Laboratory of Internet Information Collaboration, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen 518055, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002523892","display_name":"Yunming Ye","orcid":"https://orcid.org/0000-0002-1807-8581","observed_orcids":["https://orcid.org/0000-0002-1807-8581"]},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunming Ye","raw_affiliation_strings":["Shenzhen Key Laboratory of Internet Information Collaboration, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen 518055, China"],"raw_orcid":"https://orcid.org/0000-0002-1807-8581","affiliations":[{"raw_affiliation_string":"Shenzhen Key Laboratory of Internet Information Collaboration, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen 518055, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5049566038"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":{"value":860,"currency":"USD","value_usd":860},"apc_paid":{"value":860,"currency":"USD","value_usd":860},"fwci":0.33,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.68513093,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":95},"biblio":{"volume":"2014","issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9976000189781189,"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":0.9976000189781189,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.0013000000035390258,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.0003000000142492354,"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/class-imbalance","display_name":"class imbalance","score":0.9860000014305115},{"id":"https://openalex.org/keywords/concept-drift","display_name":"concept drift","score":0.9539999961853027},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"ensemble learning","score":0.8259999752044678},{"id":"https://openalex.org/keywords/clustering-tree","display_name":"clustering tree","score":0.9639999866485596},{"id":"https://openalex.org/keywords/nonstationary-data","display_name":"non-stationary data","score":0.7670000195503235},{"id":"https://openalex.org/keywords/data-streams","display_name":"data streams","score":0.31200000643730164}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8671305179595947},{"id":"https://openalex.org/C60777511","wikidata":"https://www.wikidata.org/wiki/Q3045002","display_name":"Concept drift","level":3,"score":0.8286263346672058},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6874756813049316},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6800510287284851},{"id":"https://openalex.org/C206588197","wikidata":"https://www.wikidata.org/wiki/Q846574","display_name":"Reuse","level":2,"score":0.6192073225975037},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.5967358946800232},{"id":"https://openalex.org/C42090638","wikidata":"https://www.wikidata.org/wiki/Q4048907","display_name":"STREAMS","level":2,"score":0.5738223195075989},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5185323357582092},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5124795436859131},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.4933439791202545},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.4915080964565277},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4891374409198761},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48394444584846497},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4474687874317169},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.432911217212677},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1155/2014/497354","doi":"https://doi.org/10.1155/2014/497354","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2014/497354","pdf_url":"https://downloads.hindawi.com/journals/tswj/2014/497354.pdf","source":{"id":"https://openalex.org/S29243050","display_name":"The Scientific World JOURNAL","issn_l":"1537-744X","issn":["1537-744X","2356-6140"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","jufo-1","ki-jl-1","medline","norway-1"],"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869","https://openalex.org/P4310320595"],"host_organization_lineage_names":["Hindawi Publishing Corporation","Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Scientific World Journal","raw_type":"journal-article"},{"id":"pmid:24982961","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/24982961","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TheScientificWorldJournal","raw_type":"Journal Article"},{"id":"pmh:oai:pubmedcentral.nih.gov:4005079","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4005079","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ScientificWorldJournal","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:47303f5d4d2945e0a4463cc83179633f","doi":null,"is_oa":false,"landing_page_url":"https://doaj.org/article/47303f5d4d2945e0a4463cc83179633f","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"The Scientific World Journal, Vol 2014 (2014)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2014/497354","doi":"https://doi.org/10.1155/2014/497354","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2014/497354","pdf_url":"https://downloads.hindawi.com/journals/tswj/2014/497354.pdf","source":{"id":"https://openalex.org/S29243050","display_name":"The Scientific World JOURNAL","issn_l":"1537-744X","issn":["1537-744X","2356-6140"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","jufo-1","ki-jl-1","medline","norway-1"],"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869","https://openalex.org/P4310320595"],"host_organization_lineage_names":["Hindawi Publishing Corporation","Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Scientific World Journal","raw_type":"journal-article"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"score":0.7099999785423279,"display_name":"Life on land","id":"https://metadata.un.org/sdg/15"}],"study_designs":[],"awards":[{"id":"https://openalex.org/G2370972249","display_name":null,"funder_award_id":"CXY201107010163A","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8085515369","display_name":null,"funder_award_id":"61073195","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8709842254","display_name":null,"funder_award_id":"0020JCYJ20130329142551746","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8899795614","display_name":null,"funder_award_id":"JCYJ20120613135329670","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2000840397.pdf","grobid_xml":"https://content.openalex.org/works/W2000840397.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W14576171","https://openalex.org/W56053620","https://openalex.org/W64908097","https://openalex.org/W1553806514","https://openalex.org/W1577965913","https://openalex.org/W1730692908","https://openalex.org/W1830453967","https://openalex.org/W1964569918","https://openalex.org/W1989595159","https://openalex.org/W1991076541","https://openalex.org/W2009727399","https://openalex.org/W2016159616","https://openalex.org/W2105531169","https://openalex.org/W2109964623","https://openalex.org/W2124288185","https://openalex.org/W2129840303","https://openalex.org/W2133234556","https://openalex.org/W2134125037","https://openalex.org/W2134597765","https://openalex.org/W2145898068","https://openalex.org/W2166008115","https://openalex.org/W2361024996"],"related_works":["https://openalex.org/W2802243998","https://openalex.org/W2469699777","https://openalex.org/W4200217704","https://openalex.org/W3201554469","https://openalex.org/W2368264659","https://openalex.org/W4307392573","https://openalex.org/W3112950814","https://openalex.org/W3208495060","https://openalex.org/W2060628068","https://openalex.org/W2161835057"],"abstract_inverted_index":{"Textual":[0],"stream":[1,67],"classification":[2,42],"has":[3],"become":[4],"a":[5,55,81],"realistic":[6],"and":[7,13,119,124,149],"challenging":[8],"issue":[9],"since":[10],"large-scale,":[11],"high-dimensional,":[12],"non-stationary":[14],"streams":[15,178],"with":[16,40,68,111],"class":[17,115,148],"imbalance":[18],"have":[19],"been":[20],"widely":[21],"used":[22],"in":[23,47,105,174],"various":[24],"real-life":[25],"applications.":[26],"According":[27],"to":[28,38,109,132,164],"the":[29,41,64,94,98,101,112,128,157,165],"characters":[30],"of":[31,43,83,100,114,159,170],"textual":[32,44,65,177],"streams,":[33],"it":[34,136],"is":[35,74,103,137,162,172],"technically":[36],"difficult":[37],"deal":[39,110],"stream,":[45,102],"especially":[46],"imbalanced":[48,66,181],"environment.":[49,183],"In":[50,107],"this":[51],"paper,":[52],"we":[53,117],"propose":[54],"new":[56],"ensemble":[57,77,195],"framework,":[58],"clustering":[59,84],"forest,":[60],"for":[61],"learning":[62,78],"from":[63,127,153],"concept":[69,154],"drift":[70],"(CFIM).":[71],"The":[72,168],"CFIM":[73,171,188],"based":[75],"on":[76],"by":[79,97],"integrating":[80],"set":[82],"trees":[85],"(CTs).":[86],"An":[87],"adaptive":[88],"selection":[89],"method,":[90],"which":[91],"flexibly":[92],"chooses":[93],"useful":[95],"CTs":[96],"property":[99],"presented":[104],"CFIM.":[106],"particular,":[108],"problem":[113],"imbalance,":[116],"collect":[118],"reuse":[120],"both":[121,146],"rare-class":[122],"instances":[123,126,161],"misclassified":[125],"historical":[129],"chunks.":[130],"Compared":[131],"most":[133],"existing":[134],"approaches,":[135],"worth":[138],"pointing":[139],"out":[140],"that":[141,145,187],"our":[142],"approach":[143],"assumes":[144],"majority":[147],"rareclass":[150],"may":[151],"suffer":[152],"drift.":[155],"Thus":[156],"distribution":[158],"resampled":[160],"similar":[163],"current":[166],"concept.":[167],"effectiveness":[169],"examined":[173],"five":[175],"real-world":[176],"under":[179],"an":[180],"nonstationary":[182],"Experimental":[184],"results":[185],"demonstrate":[186],"achieves":[189],"better":[190],"performance":[191],"than":[192],"four":[193],"state-of-the-art":[194],"models.":[196]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-09-06T09:10:53.072986","created_date":"2025-10-10T00:00:00"}