Matches in SemOpenAlex for { <https://semopenalex.org/work/W2172005224> ?p ?o ?g. }
- W2172005224 abstract "Learning from data streams has inspired considerable interests in recent years due to its wide applications in the fields such as network intrusion detection, credit fraud identification, spam filtering, and many others. Given the fact that most algorithms developed thus far assume the class distribution of the streaming data is relatively balanced, they will inevitably be confronted with severe performance deterioration when handling the imbalanced data streams. Evolved from our previous work SERA (SElectively Recursive Approach), the MuSeRA algorithm is proposed in this paper to deal with the problem of learning from imbalanced data streams. By maintaining an ensemble consisting of hypotheses built upon the coming training data chunks balanced by selectively accommodating previous minority examples, MuSeRA can efficiently learn the target concept of the imbalanced data streams and thus obtain substantial performance improvement compared to our previous work SERA and the existing stream data mining algorithms. Simulation results validate the effectiveness of the proposed MuSeRA algorithm." @default.
- W2172005224 created "2016-06-24" @default.
- W2172005224 creator A5002319878 @default.
- W2172005224 creator A5030215563 @default.
- W2172005224 creator A5033996313 @default.
- W2172005224 creator A5057879702 @default.
- W2172005224 date "2010-07-01" @default.
- W2172005224 modified "2023-10-16" @default.
- W2172005224 title "MuSeRA: Multiple Selectively Recursive Approach towards imbalanced stream data mining" @default.
- W2172005224 cites W1582310361 @default.
- W2172005224 cites W1996773027 @default.
- W2172005224 cites W2019778169 @default.
- W2172005224 cites W2029896651 @default.
- W2172005224 cites W2068714596 @default.
- W2172005224 cites W2075457099 @default.
- W2172005224 cites W2103753221 @default.
- W2172005224 cites W2105531169 @default.
- W2172005224 cites W2118778444 @default.
- W2172005224 cites W2118978333 @default.
- W2172005224 cites W2148143831 @default.
- W2172005224 cites W2163381245 @default.
- W2172005224 cites W2169937061 @default.
- W2172005224 cites W2294223532 @default.
- W2172005224 cites W4233583441 @default.
- W2172005224 cites W4235130247 @default.
- W2172005224 cites W4237421257 @default.
- W2172005224 cites W4244182441 @default.
- W2172005224 cites W64908097 @default.
- W2172005224 doi "https://doi.org/10.1109/ijcnn.2010.5596538" @default.
- W2172005224 hasPublicationYear "2010" @default.
- W2172005224 type Work @default.
- W2172005224 sameAs 2172005224 @default.
- W2172005224 citedByCount "27" @default.
- W2172005224 countsByYear W21720052242012 @default.
- W2172005224 countsByYear W21720052242013 @default.
- W2172005224 countsByYear W21720052242014 @default.
- W2172005224 countsByYear W21720052242015 @default.
- W2172005224 countsByYear W21720052242016 @default.
- W2172005224 countsByYear W21720052242017 @default.
- W2172005224 countsByYear W21720052242018 @default.
- W2172005224 countsByYear W21720052242019 @default.
- W2172005224 countsByYear W21720052242020 @default.
- W2172005224 countsByYear W21720052242021 @default.
- W2172005224 crossrefType "proceedings-article" @default.
- W2172005224 hasAuthorship W2172005224A5002319878 @default.
- W2172005224 hasAuthorship W2172005224A5030215563 @default.
- W2172005224 hasAuthorship W2172005224A5033996313 @default.
- W2172005224 hasAuthorship W2172005224A5057879702 @default.
- W2172005224 hasConcept C116834253 @default.
- W2172005224 hasConcept C119857082 @default.
- W2172005224 hasConcept C124101348 @default.
- W2172005224 hasConcept C127313418 @default.
- W2172005224 hasConcept C154945302 @default.
- W2172005224 hasConcept C158251709 @default.
- W2172005224 hasConcept C17409809 @default.
- W2172005224 hasConcept C2777212361 @default.
- W2172005224 hasConcept C2777611316 @default.
- W2172005224 hasConcept C2778484313 @default.
- W2172005224 hasConcept C31258907 @default.
- W2172005224 hasConcept C35525427 @default.
- W2172005224 hasConcept C41008148 @default.
- W2172005224 hasConcept C42090638 @default.
- W2172005224 hasConcept C59822182 @default.
- W2172005224 hasConcept C60777511 @default.
- W2172005224 hasConcept C76155785 @default.
- W2172005224 hasConcept C86803240 @default.
- W2172005224 hasConcept C89198739 @default.
- W2172005224 hasConceptScore W2172005224C116834253 @default.
- W2172005224 hasConceptScore W2172005224C119857082 @default.
- W2172005224 hasConceptScore W2172005224C124101348 @default.
- W2172005224 hasConceptScore W2172005224C127313418 @default.
- W2172005224 hasConceptScore W2172005224C154945302 @default.
- W2172005224 hasConceptScore W2172005224C158251709 @default.
- W2172005224 hasConceptScore W2172005224C17409809 @default.
- W2172005224 hasConceptScore W2172005224C2777212361 @default.
- W2172005224 hasConceptScore W2172005224C2777611316 @default.
- W2172005224 hasConceptScore W2172005224C2778484313 @default.
- W2172005224 hasConceptScore W2172005224C31258907 @default.
- W2172005224 hasConceptScore W2172005224C35525427 @default.
- W2172005224 hasConceptScore W2172005224C41008148 @default.
- W2172005224 hasConceptScore W2172005224C42090638 @default.
- W2172005224 hasConceptScore W2172005224C59822182 @default.
- W2172005224 hasConceptScore W2172005224C60777511 @default.
- W2172005224 hasConceptScore W2172005224C76155785 @default.
- W2172005224 hasConceptScore W2172005224C86803240 @default.
- W2172005224 hasConceptScore W2172005224C89198739 @default.
- W2172005224 hasLocation W21720052241 @default.
- W2172005224 hasOpenAccess W2172005224 @default.
- W2172005224 hasPrimaryLocation W21720052241 @default.
- W2172005224 hasRelatedWork W1485530964 @default.
- W2172005224 hasRelatedWork W1993409736 @default.
- W2172005224 hasRelatedWork W2026324356 @default.
- W2172005224 hasRelatedWork W2063816676 @default.
- W2172005224 hasRelatedWork W2545008743 @default.
- W2172005224 hasRelatedWork W2574092225 @default.
- W2172005224 hasRelatedWork W2886602077 @default.
- W2172005224 hasRelatedWork W4212846128 @default.
- W2172005224 hasRelatedWork W4246591448 @default.
- W2172005224 hasRelatedWork W4285492980 @default.
- W2172005224 isParatext "false" @default.