Matches in SemOpenAlex for { <https://semopenalex.org/work/W2787072112> ?p ?o ?g. }
Showing items 1 to 85 of
85
with 100 items per page.
- W2787072112 abstract "Classifier performance is often impaired by the presence of anomalies like noisy and borderlines samples, and due to the inherent imbalance in data. This is due to the fact that classifier models are usually constructed on the basis of ideal data conditions which is often not the case. In reality, these anomalies occur at varying intensities and in most cases they are an integral part of the problem domain. This requires that the classifier models be fine-tuned to accommodate such anomalies thereby resulting in data dependent models. This work analyses the effectiveness of various classifier models in handling noisy, borderline and imbalanced data. This dictates that, the right set of metrics must first be identified, as most of the usual metrics are not affected by such anomalies, though it affects the reliability, robustness and practical efficacy of such classifiers. To ensure the scalability of the resulting models, classifiers were implemented using Spark. A characterized examination of the results elucidates the effective prediction zones of each model, facilitating the identification of stable classifier models. It is found that a single model is inadequate in real time scenarios, due to the complex interplay among the various anomalies. This work is concluded with a modelling a heterogeneous cost based ensemble model for a domain based prediction model." @default.
- W2787072112 created "2018-02-23" @default.
- W2787072112 creator A5000405488 @default.
- W2787072112 creator A5018721994 @default.
- W2787072112 date "2017-06-01" @default.
- W2787072112 modified "2023-09-27" @default.
- W2787072112 title "Modelling a stable classifier for handling large scale data with noise and imbalance" @default.
- W2787072112 cites W1965169635 @default.
- W2787072112 cites W1970552755 @default.
- W2787072112 cites W1992795012 @default.
- W2787072112 cites W2008463764 @default.
- W2787072112 cites W2011554195 @default.
- W2787072112 cites W2019557226 @default.
- W2787072112 cites W2038136632 @default.
- W2787072112 cites W2057808087 @default.
- W2787072112 cites W2068781454 @default.
- W2787072112 cites W2074745248 @default.
- W2787072112 cites W2079684956 @default.
- W2787072112 cites W2095750816 @default.
- W2787072112 cites W2107138773 @default.
- W2787072112 cites W2139378427 @default.
- W2787072112 cites W2157941646 @default.
- W2787072112 cites W2338318698 @default.
- W2787072112 cites W2470642288 @default.
- W2787072112 cites W2477524509 @default.
- W2787072112 cites W2560528144 @default.
- W2787072112 cites W2585770658 @default.
- W2787072112 cites W2586925935 @default.
- W2787072112 cites W3202455643 @default.
- W2787072112 cites W619160221 @default.
- W2787072112 doi "https://doi.org/10.1109/iccids.2017.8272643" @default.
- W2787072112 hasPublicationYear "2017" @default.
- W2787072112 type Work @default.
- W2787072112 sameAs 2787072112 @default.
- W2787072112 citedByCount "10" @default.
- W2787072112 countsByYear W27870721122017 @default.
- W2787072112 countsByYear W27870721122018 @default.
- W2787072112 countsByYear W27870721122019 @default.
- W2787072112 countsByYear W27870721122020 @default.
- W2787072112 countsByYear W27870721122021 @default.
- W2787072112 countsByYear W27870721122022 @default.
- W2787072112 crossrefType "proceedings-article" @default.
- W2787072112 hasAuthorship W2787072112A5000405488 @default.
- W2787072112 hasAuthorship W2787072112A5018721994 @default.
- W2787072112 hasConcept C104317684 @default.
- W2787072112 hasConcept C119857082 @default.
- W2787072112 hasConcept C124101348 @default.
- W2787072112 hasConcept C153180895 @default.
- W2787072112 hasConcept C154945302 @default.
- W2787072112 hasConcept C185592680 @default.
- W2787072112 hasConcept C41008148 @default.
- W2787072112 hasConcept C48044578 @default.
- W2787072112 hasConcept C55493867 @default.
- W2787072112 hasConcept C63479239 @default.
- W2787072112 hasConcept C77088390 @default.
- W2787072112 hasConcept C95623464 @default.
- W2787072112 hasConceptScore W2787072112C104317684 @default.
- W2787072112 hasConceptScore W2787072112C119857082 @default.
- W2787072112 hasConceptScore W2787072112C124101348 @default.
- W2787072112 hasConceptScore W2787072112C153180895 @default.
- W2787072112 hasConceptScore W2787072112C154945302 @default.
- W2787072112 hasConceptScore W2787072112C185592680 @default.
- W2787072112 hasConceptScore W2787072112C41008148 @default.
- W2787072112 hasConceptScore W2787072112C48044578 @default.
- W2787072112 hasConceptScore W2787072112C55493867 @default.
- W2787072112 hasConceptScore W2787072112C63479239 @default.
- W2787072112 hasConceptScore W2787072112C77088390 @default.
- W2787072112 hasConceptScore W2787072112C95623464 @default.
- W2787072112 hasLocation W27870721121 @default.
- W2787072112 hasOpenAccess W2787072112 @default.
- W2787072112 hasPrimaryLocation W27870721121 @default.
- W2787072112 hasRelatedWork W1998305460 @default.
- W2787072112 hasRelatedWork W2001652754 @default.
- W2787072112 hasRelatedWork W2379065761 @default.
- W2787072112 hasRelatedWork W2549006548 @default.
- W2787072112 hasRelatedWork W2784352036 @default.
- W2787072112 hasRelatedWork W2807311372 @default.
- W2787072112 hasRelatedWork W2961085424 @default.
- W2787072112 hasRelatedWork W2972035100 @default.
- W2787072112 hasRelatedWork W3043252291 @default.
- W2787072112 hasRelatedWork W4214932115 @default.
- W2787072112 isParatext "false" @default.
- W2787072112 isRetracted "false" @default.
- W2787072112 magId "2787072112" @default.
- W2787072112 workType "article" @default.