Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313445052> ?p ?o ?g. }
Showing items 1 to 84 of
84
with 100 items per page.
- W4313445052 endingPage "420" @default.
- W4313445052 startingPage "407" @default.
- W4313445052 abstract "Dyslexia is a specific learning medical problem characterized by difficulty reading because of difficulties trying to identify sounds of speech and acquiring knowledge of how they relate to words and letters (decoding). Dyslexia is a reading disability, directly affects areas of the brain that process language. People with dyslexia typically have high intelligence and sense of direction. With mentoring or a specialized educational intervention, most kids with dyslexia can improve learning. With this overview, this project aims to predict the dyslexia kids by using the Dyslexia dataset retrieved from the KAGGLE machine learning repository. The Dyslexia dataset contains 197 features and 3645 student details and it is preprocessed with encoding and missing values. The raw dataset is applied with all classifiers with and without feature scaling to analyze the performance metrics. The raw dataset is subjected to apply with principal component analysis with 40 components with and without feature scaling and then applied with various classification algorithms and performance metrics are compared. The target data distribution is found to have 89.2% of normal people and 10.8% of Dyslexia people, which is imbalanced target. So the 40 component PCA reduced dataset is then applied with oversampling methods like borderline, smote, SVM smote, and ADASYN methods. The PCA oversampled dataset by the above methods are then experienced with various classifiers to predict the dyslexia before and after feature scaling and the performance indices are precision, recall, fscore, and accuracy. Experimental results show that the Random forest classifier shows accuracy of 88% before applying principal component analysis. The random forest classifier shows the accuracy of 96% after applying the principal component analysis along with all the oversampling methods." @default.
- W4313445052 created "2023-01-06" @default.
- W4313445052 creator A5045663884 @default.
- W4313445052 creator A5052173305 @default.
- W4313445052 creator A5067730758 @default.
- W4313445052 creator A5075479383 @default.
- W4313445052 creator A5078930166 @default.
- W4313445052 date "2023-01-01" @default.
- W4313445052 modified "2023-10-16" @default.
- W4313445052 title "Component Probabilistic Oversampling-Based Classification for Prediction of Dyslexia" @default.
- W4313445052 cites W2540335311 @default.
- W4313445052 cites W2608651006 @default.
- W4313445052 cites W2725947225 @default.
- W4313445052 cites W2783326200 @default.
- W4313445052 cites W2811980879 @default.
- W4313445052 cites W2920890290 @default.
- W4313445052 cites W2952827873 @default.
- W4313445052 cites W2593849146 @default.
- W4313445052 doi "https://doi.org/10.1007/978-981-19-2358-6_38" @default.
- W4313445052 hasPublicationYear "2023" @default.
- W4313445052 type Work @default.
- W4313445052 citedByCount "0" @default.
- W4313445052 crossrefType "book-chapter" @default.
- W4313445052 hasAuthorship W4313445052A5045663884 @default.
- W4313445052 hasAuthorship W4313445052A5052173305 @default.
- W4313445052 hasAuthorship W4313445052A5067730758 @default.
- W4313445052 hasAuthorship W4313445052A5075479383 @default.
- W4313445052 hasAuthorship W4313445052A5078930166 @default.
- W4313445052 hasConcept C119857082 @default.
- W4313445052 hasConcept C138885662 @default.
- W4313445052 hasConcept C153180895 @default.
- W4313445052 hasConcept C154945302 @default.
- W4313445052 hasConcept C169258074 @default.
- W4313445052 hasConcept C17744445 @default.
- W4313445052 hasConcept C197323446 @default.
- W4313445052 hasConcept C199539241 @default.
- W4313445052 hasConcept C204321447 @default.
- W4313445052 hasConcept C27438332 @default.
- W4313445052 hasConcept C2776257435 @default.
- W4313445052 hasConcept C2776401178 @default.
- W4313445052 hasConcept C28490314 @default.
- W4313445052 hasConcept C31258907 @default.
- W4313445052 hasConcept C41008148 @default.
- W4313445052 hasConcept C41895202 @default.
- W4313445052 hasConcept C506058694 @default.
- W4313445052 hasConcept C554936623 @default.
- W4313445052 hasConcept C95623464 @default.
- W4313445052 hasConceptScore W4313445052C119857082 @default.
- W4313445052 hasConceptScore W4313445052C138885662 @default.
- W4313445052 hasConceptScore W4313445052C153180895 @default.
- W4313445052 hasConceptScore W4313445052C154945302 @default.
- W4313445052 hasConceptScore W4313445052C169258074 @default.
- W4313445052 hasConceptScore W4313445052C17744445 @default.
- W4313445052 hasConceptScore W4313445052C197323446 @default.
- W4313445052 hasConceptScore W4313445052C199539241 @default.
- W4313445052 hasConceptScore W4313445052C204321447 @default.
- W4313445052 hasConceptScore W4313445052C27438332 @default.
- W4313445052 hasConceptScore W4313445052C2776257435 @default.
- W4313445052 hasConceptScore W4313445052C2776401178 @default.
- W4313445052 hasConceptScore W4313445052C28490314 @default.
- W4313445052 hasConceptScore W4313445052C31258907 @default.
- W4313445052 hasConceptScore W4313445052C41008148 @default.
- W4313445052 hasConceptScore W4313445052C41895202 @default.
- W4313445052 hasConceptScore W4313445052C506058694 @default.
- W4313445052 hasConceptScore W4313445052C554936623 @default.
- W4313445052 hasConceptScore W4313445052C95623464 @default.
- W4313445052 hasLocation W43134450521 @default.
- W4313445052 hasOpenAccess W4313445052 @default.
- W4313445052 hasPrimaryLocation W43134450521 @default.
- W4313445052 hasRelatedWork W2085553065 @default.
- W4313445052 hasRelatedWork W2350910173 @default.
- W4313445052 hasRelatedWork W2380927352 @default.
- W4313445052 hasRelatedWork W2552841680 @default.
- W4313445052 hasRelatedWork W2903618681 @default.
- W4313445052 hasRelatedWork W3176807344 @default.
- W4313445052 hasRelatedWork W3178621026 @default.
- W4313445052 hasRelatedWork W4206325870 @default.
- W4313445052 hasRelatedWork W4319718059 @default.
- W4313445052 hasRelatedWork W2137598809 @default.
- W4313445052 isParatext "false" @default.
- W4313445052 isRetracted "false" @default.
- W4313445052 workType "book-chapter" @default.