Big Data, IoT, and Machine Learning
portes grátis
Big Data, IoT, and Machine Learning
Tools and Applications
Agrawal, Rashmi; Paprzycki, Marcin; Gupta, Neha
Taylor & Francis Ltd
03/2025
319
Mole
Inglês
9780367531218
15 a 20 dias
476
Descrição não disponível.
Section I: Applications of Machine Learning 1. Machine Learning Classifiers 2. Dimension Reduction Techniques 3. Reviews Analysis of Apple Store Applications Using Supervised Machine Learning 4. Machine Learning for Biomedical and Health Informatics 5. Meta-Heuristic Algorithms: A Concentration on the Applications in Text Mining 6. Optimizing Text Data in Deep Learning: An Experimental Approach Section II: Big Data, Cloud and Internet of Things 7. Latest Data and Analytics Technology Trends That Will Change Business Perspectives 8. A Proposal Based on Discrete Events for Improvement of the Transmission Channels in Cloud Environments and Big Data 9. Heterogeneous Data Fusion for Healthcare Monitoring: A Survey 10. Discriminative and Generative Model Learning for Video Object Tracking 11. Feature, Technology, Application, and Challenges of Internet of Things 12. Analytical Approach to Sustainable Smart City Using IoT and Machine Learning 13. Traffic Flow Prediction with Convolutional Neural Network Accelerated by Spark Distributed Cluster
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Fog Computing;NoSQL Databases;IoT Device;Cloud Computing;Data Fusion Framework;Random Forest;Distributed Computing;Web Mining;Ml Classifier;Data Mining;Dataset;Hadoop Ecosystem;CNN Model;internet of things;IoT System;information security;Semi-supervised Learning;big data;Dl Model;machine learning;Meta-heuristic Algorithms;Smart City;User Reviews;Data Fusion;DQPSK;Low Power Wide Area Networks;KPCA;Weka Tool;Augmented Analytics;FE Algorithm;Pooling Layer;Traffic Flow Forecasting;Health Informatics;Wireless Fidelity
Section I: Applications of Machine Learning 1. Machine Learning Classifiers 2. Dimension Reduction Techniques 3. Reviews Analysis of Apple Store Applications Using Supervised Machine Learning 4. Machine Learning for Biomedical and Health Informatics 5. Meta-Heuristic Algorithms: A Concentration on the Applications in Text Mining 6. Optimizing Text Data in Deep Learning: An Experimental Approach Section II: Big Data, Cloud and Internet of Things 7. Latest Data and Analytics Technology Trends That Will Change Business Perspectives 8. A Proposal Based on Discrete Events for Improvement of the Transmission Channels in Cloud Environments and Big Data 9. Heterogeneous Data Fusion for Healthcare Monitoring: A Survey 10. Discriminative and Generative Model Learning for Video Object Tracking 11. Feature, Technology, Application, and Challenges of Internet of Things 12. Analytical Approach to Sustainable Smart City Using IoT and Machine Learning 13. Traffic Flow Prediction with Convolutional Neural Network Accelerated by Spark Distributed Cluster
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Fog Computing;NoSQL Databases;IoT Device;Cloud Computing;Data Fusion Framework;Random Forest;Distributed Computing;Web Mining;Ml Classifier;Data Mining;Dataset;Hadoop Ecosystem;CNN Model;internet of things;IoT System;information security;Semi-supervised Learning;big data;Dl Model;machine learning;Meta-heuristic Algorithms;Smart City;User Reviews;Data Fusion;DQPSK;Low Power Wide Area Networks;KPCA;Weka Tool;Augmented Analytics;FE Algorithm;Pooling Layer;Traffic Flow Forecasting;Health Informatics;Wireless Fidelity
