FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4376255203> ?p ?o ?g. }

• W4376255203 endingPage "5924" @default.
• W4376255203 startingPage "5924" @default.
• W4376255203 abstract "The imbalance and concept drift problems in data streams become more complex in multi-class environment, and extreme imbalance and variation in class ratio may also exist. To tackle the above problems, Hybrid Sampling and Dynamic Weighted-based classification method for Multi-class Imbalanced data stream (HSDW-MI) is proposed. The HSDW-MI algorithm deals with imbalance and concept drift problems through the hybrid sampling and dynamic weighting phases, respectively. In the hybrid sampling phase, adaptive spectral clustering is proposed to sample the data after clustering, which can maintain the original data distribution; then the sample safety factor is used to determine the samples to be sampled for each class; the safe samples are oversampled and the unsafe samples are under-sampled in each cluster. If the data stream is extremely imbalanced, the sample storage pool is used to extract samples with a high safety factor to add to the data stream. In the dynamic weighting phase, a dynamic weighting method based on the G-mean value is proposed. The G-mean values are used as the weights of each base classifier in the ensemble and the ensemble is dynamically updated during the processing of the data stream to accommodate the occurrence of concept drift. Experiments were conducted with LB, OAUE, ARF, BOLE, MUOB, MOOD, CALMID, and the proposed HSDW-MI on 10 multi-class synthetic data streams with different class ratios and concept drifts and 3 real multi-class imbalanced streams with unknown drifts, and the results show that the proposed HSDW-MI has better classification capabilities and performs more consistently compared to all other algorithms." @default.
• W4376255203 created "2023-05-13" @default.
• W4376255203 creator A5006915363 @default.
• W4376255203 creator A5059605240 @default.
• W4376255203 creator A5068731935 @default.
• W4376255203 creator A5069041636 @default.
• W4376255203 creator A5087942198 @default.
• W4376255203 date "2023-05-11" @default.
• W4376255203 modified "2023-10-14" @default.
• W4376255203 title "Hybrid Sampling and Dynamic Weighting-Based Classification Method for Multi-Class Imbalanced Data Stream" @default.
• W4376255203 cites W2115677675 @default.
• W4376255203 cites W2143991132 @default.
• W4376255203 cites W2185967890 @default.
• W4376255203 cites W2344580970 @default.
• W4376255203 cites W2556012038 @default.
• W4376255203 cites W2587314106 @default.
• W4376255203 cites W2626498001 @default.
• W4376255203 cites W2736435690 @default.
• W4376255203 cites W2787038389 @default.
• W4376255203 cites W2905012420 @default.
• W4376255203 cites W2998365469 @default.
• W4376255203 cites W2998823736 @default.
• W4376255203 cites W3004110857 @default.
• W4376255203 cites W3094575529 @default.
• W4376255203 cites W3119983836 @default.
• W4376255203 cites W3133463776 @default.
• W4376255203 cites W3190708325 @default.
• W4376255203 cites W3200193867 @default.
• W4376255203 cites W4214572276 @default.
• W4376255203 cites W4220862305 @default.
• W4376255203 cites W4223425923 @default.
• W4376255203 cites W4223480828 @default.
• W4376255203 cites W4229006505 @default.
• W4376255203 cites W4310276739 @default.
• W4376255203 cites W769353746 @default.
• W4376255203 doi "https://doi.org/10.3390/app13105924" @default.
• W4376255203 hasPublicationYear "2023" @default.
• W4376255203 type Work @default.
• W4376255203 citedByCount "2" @default.
• W4376255203 countsByYear W43762552032023 @default.
• W4376255203 crossrefType "journal-article" @default.
• W4376255203 hasAuthorship W4376255203A5006915363 @default.
• W4376255203 hasAuthorship W4376255203A5059605240 @default.
• W4376255203 hasAuthorship W4376255203A5068731935 @default.
• W4376255203 hasAuthorship W4376255203A5069041636 @default.
• W4376255203 hasAuthorship W4376255203A5087942198 @default.
• W4376255203 hasBestOaLocation W43762552031 @default.
• W4376255203 hasConcept C106131492 @default.
• W4376255203 hasConcept C124101348 @default.
• W4376255203 hasConcept C126838900 @default.
• W4376255203 hasConcept C140779682 @default.
• W4376255203 hasConcept C153180895 @default.
• W4376255203 hasConcept C154945302 @default.
• W4376255203 hasConcept C183115368 @default.
• W4376255203 hasConcept C185592680 @default.
• W4376255203 hasConcept C198531522 @default.
• W4376255203 hasConcept C2778484313 @default.
• W4376255203 hasConcept C31972630 @default.
• W4376255203 hasConcept C41008148 @default.
• W4376255203 hasConcept C43617362 @default.
• W4376255203 hasConcept C60777511 @default.
• W4376255203 hasConcept C71924100 @default.
• W4376255203 hasConcept C73555534 @default.
• W4376255203 hasConcept C76155785 @default.
• W4376255203 hasConcept C89198739 @default.
• W4376255203 hasConcept C95623464 @default.
• W4376255203 hasConceptScore W4376255203C106131492 @default.
• W4376255203 hasConceptScore W4376255203C124101348 @default.
• W4376255203 hasConceptScore W4376255203C126838900 @default.
• W4376255203 hasConceptScore W4376255203C140779682 @default.
• W4376255203 hasConceptScore W4376255203C153180895 @default.
• W4376255203 hasConceptScore W4376255203C154945302 @default.
• W4376255203 hasConceptScore W4376255203C183115368 @default.
• W4376255203 hasConceptScore W4376255203C185592680 @default.
• W4376255203 hasConceptScore W4376255203C198531522 @default.
• W4376255203 hasConceptScore W4376255203C2778484313 @default.
• W4376255203 hasConceptScore W4376255203C31972630 @default.
• W4376255203 hasConceptScore W4376255203C41008148 @default.
• W4376255203 hasConceptScore W4376255203C43617362 @default.
• W4376255203 hasConceptScore W4376255203C60777511 @default.
• W4376255203 hasConceptScore W4376255203C71924100 @default.
• W4376255203 hasConceptScore W4376255203C73555534 @default.
• W4376255203 hasConceptScore W4376255203C76155785 @default.
• W4376255203 hasConceptScore W4376255203C89198739 @default.
• W4376255203 hasConceptScore W4376255203C95623464 @default.
• W4376255203 hasFunder F4320321001 @default.
• W4376255203 hasFunder F4320335884 @default.
• W4376255203 hasIssue "10" @default.
• W4376255203 hasLocation W43762552031 @default.
• W4376255203 hasOpenAccess W4376255203 @default.
• W4376255203 hasPrimaryLocation W43762552031 @default.
• W4376255203 hasRelatedWork W2008316021 @default.
• W4376255203 hasRelatedWork W2194383319 @default.
• W4376255203 hasRelatedWork W2607131005 @default.
• W4376255203 hasRelatedWork W2613181115 @default.
• W4376255203 hasRelatedWork W2736127210 @default.
• W4376255203 hasRelatedWork W3013949960 @default.
• W4376255203 hasRelatedWork W3108897387 @default.

• next