Handbook of research on emerging trends and applications of machine learning

Solanki, Arun [Ed.] ; Kumar, Sandeep [Ed.] ; et al.

Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA): IGI Global, 2020

Buch - 34 PDFs (674 pages)

"This book examines the role of machine learning in various applications such as data mining, natural language processing, image recognition, and expert systems"

Titel:	Handbook of research on emerging trends and applications of machine learning
Autor/in / Beteiligte Person:	Solanki, Arun [Ed.] ; Kumar, Sandeep [Ed.] ; Nayyar, Anand [Ed.] ; Global, IGI
Link:	http://lobid.org/resources/9947479966106443
Veröffentlichung:	Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA): IGI Global, 2020
Medientyp:	Buch
Umfang:	34 PDFs (674 pages)
ISBN:	978-1-5225-9645-5 (print) ; 978-1-5225-9643-1 (print) ; 978-1-5225-9644-8 (print) ; 1-5225-9643-7 (print) ; 1-5225-9644-5 (print)
DOI:	10.4018/978-1-5225-9643-1
Schlagwort:	Machine learning Data mining Natural language processing (Computer science)
Sonstiges:	Nachgewiesen in: hbz-Verbundkatalog Contents Note: Chapter 1. Method to rank academic institutes by the sentiment analysis of their online reviews -- Chapter 2. Machine learning in higher education: predicting student attrition status using educational data mining -- Chapter 3. Machine learning optimization techniques for 3D IC physical design -- Chapter 4. A novel approach to kinect-based gesture recognition for HCI applications -- Chapter 5. A survey on precision treatment for humans using cognitive machine learning techniques -- Chapter 6. Text classification using self-structure extended multinomial naive bayes -- Chapter 7. Applications of machine learning for software management -- Chapter 8. Creating paraphrase identification corpus for Indian languages: opensource data set for paraphrase creation -- Chapter 9. Deep learning approaches for textual sentiment analysis -- Chapter 10. Deep learning for next-generation inventive wireless networks: issues, challenges, and futuredirections -- Chapter 11. Demystifying disease identification and diagnosis using machine learning classification algorithms: demystify medical data with machine learning algorithms -- Chapter 12. Evolution of data analytics in healthcare -- Chapter 13. Implementation of machine learning in network security -- Chapter 14.Information retrieval in conjunction with deep learning -- Chapter 15. Interactive game-based motor rehabilitation using hybrid sensor architecture -- Chapter 17. Machine learning in 5G multimedia communications: open research challenges and applications -- Chapter 18. Machine learning in text analysis -- Chapter 19. Machine learning in the medical industry -- Chapter 20. Machine learning in video games -- Chapter 21. Multi-layer hybrid credit scoring model based on feature selection, ensemble learning, and ensemble classifier -- Chapter 22. Overview of machine learners in classifying of speech signals -- Chapter 23. Self-driving cars: role of machine learning -- Chapter 24. Sentiment analysis on social media: recent trends in machine learning -- Chapter 25. Social big data mining: a survey focused on sentiment analysis -- Chapter 26. Tool condition monitoring using artificial neural network models -- Chapter 27. Computer vision-based assistive technology for helping visually impaired and blind people using deep learning framework Document Type: Monograph File Description: text

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