Machine Learning Technologies and Applications Proceedings of ICACECS 2020 /

Podrobná bibliografie
Korporativní autor:	SpringerLink (Online service)
Další autoři:	Mai, C. Kiran (Editor), Reddy, A. Brahmananda (Editor), Raju, K. Srujan (Editor)
Shrnutí:	XXV, 336 p. 186 illus., 151 illus. in color. text
Jazyk:	angličtina
Vydáno:	Singapore : Springer Nature Singapore : Imprint: Springer, 2021.
Vydání:	1st ed. 2021.
Edice:	Algorithms for Intelligent Systems,
Témata:	Computational intelligence. Machine learning. Data mining. Computational Intelligence. Machine Learning. Data Mining and Knowledge Discovery.
On-line přístup:	https://doi.org/10.1007/978-981-33-4046-6
Médium:	Elektronický zdroj E-kniha

Obsah:

Chapter 1. Prediction of Anemia Disease Using Classification Methods
Chapter 2. Diabetic symptoms prediction through retinopathy
Chapter 3. Prediction of Cervical Cancer
Chapter 4. A new 5-layer model approach for Pneumonia Prediction
Chapter 5. Prediction of Liver Malady using Advanced Classification Algorithms
Chapter 6. A Fuzzy based Approach for Indian Standard Classification of Soils
Chapter 7. Blocking Mobile Based Games and Nullifying the Search String Containing Inappropriate Words
Chapter 8. A methodology to retrieve information from ontologies with the application of D2R Mapping and SPARQL
Chapter 9. Fuzzy logic controller for accurate diagnostics in X ray film
Chapter 10. Heart Attack Classification using SVM with LDA and PCA linear transformation techniques
Chapter 11. Distributed Training of Deep Neural Network for Segmentation-free Telugu Word Recognition
Chapter 12. Word Sense Disambiguation for Telugu using Lesk
Chapter 13. Identifying the Duplicate Questions in Community Question Answering Forums using Machine Learning Approaches
Chapter 14. A Comparison of Classical Machine Learning Approaches for Early Structural Damage Identification
Chapter 15. Real Estate Sales Forecasting with SVM Classification.

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