Applied Machine Learning for Smart Data Analysis
-10%
portes grátis
Applied Machine Learning for Smart Data Analysis
Dey, Nilanjan; Wagh, Sanjeev; Mahalle, Parikshit N.; Pathan, Mohd. Shafi
Taylor & Francis Ltd
06/2019
244
Dura
Inglês
9781138339798
15 a 20 dias
512
Descrição não disponível.
1. Hindi and Urdu To English Named Entity Statistical Machine Transliteration Using Source Language Word Origin Context. 2. Anti-Depression Psychotherapist Chat-Bot for Exam And Study Depression. 3. Deep Learning for HealthCare Information's. 4. Priority based Message Forwarding Scheme in VANET with Intelligent Navigation. 5. Plagiasil: "A Plagiarism Detector"(MAS Scalable Framework for Research Effort Evaluation by Unsupervised Machine Learning - Hybrid Plagiarism Model). 6. Digital image processing using Wavelets Basic principles and application. 7. Placements Probability Predictor Using Data Mining Techniques. 8. Big Data Summarization using Modified Fuzzy Clustering Algorithm, Semantic Feature and Data Compression Approach. 9. Topic specific Natural Language Chatbot as General Advisor for College. 10. Implementing Ubiquitous Environment In Museum. 11. Implementation of Machine Learning in Education Sector: Analyzing causes behind average student grades. 12. Traffic Zone Warning and Violation Detection using Mobile Computing. 13. A Comparative Analysis and Discussion of Email Spam Classification Methods using Machine Learning Techniques. 14. Malware Prevention and Detection System for SmartPhone: A Machine Learning Approach. 15. Spam Review Detection and Recommendation of Correct Outcomes Based on Appropriate Reviews.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
IBM Model;Training Data Set Size;machine learning;Haar Transform;data analytics;Haar Wavelet Filters;Internet of Things;Fuzzy Partition Matrix;deep learning;Plagiarism Evaluation;Spam Classification;Supervised Machine Learning;LDA;RF;VANET;Haar Wavelet;Data Set;De-noised Image;Image Quality Assessment;Android Malware;JSON Object;Wavelet Transform;Malware Detection;Malicious Application;Wavelet Coefficients;Machine Learning Models;NEs;Unsupervised Machine Learning;Dynamic Control Structure
1. Hindi and Urdu To English Named Entity Statistical Machine Transliteration Using Source Language Word Origin Context. 2. Anti-Depression Psychotherapist Chat-Bot for Exam And Study Depression. 3. Deep Learning for HealthCare Information's. 4. Priority based Message Forwarding Scheme in VANET with Intelligent Navigation. 5. Plagiasil: "A Plagiarism Detector"(MAS Scalable Framework for Research Effort Evaluation by Unsupervised Machine Learning - Hybrid Plagiarism Model). 6. Digital image processing using Wavelets Basic principles and application. 7. Placements Probability Predictor Using Data Mining Techniques. 8. Big Data Summarization using Modified Fuzzy Clustering Algorithm, Semantic Feature and Data Compression Approach. 9. Topic specific Natural Language Chatbot as General Advisor for College. 10. Implementing Ubiquitous Environment In Museum. 11. Implementation of Machine Learning in Education Sector: Analyzing causes behind average student grades. 12. Traffic Zone Warning and Violation Detection using Mobile Computing. 13. A Comparative Analysis and Discussion of Email Spam Classification Methods using Machine Learning Techniques. 14. Malware Prevention and Detection System for SmartPhone: A Machine Learning Approach. 15. Spam Review Detection and Recommendation of Correct Outcomes Based on Appropriate Reviews.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
IBM Model;Training Data Set Size;machine learning;Haar Transform;data analytics;Haar Wavelet Filters;Internet of Things;Fuzzy Partition Matrix;deep learning;Plagiarism Evaluation;Spam Classification;Supervised Machine Learning;LDA;RF;VANET;Haar Wavelet;Data Set;De-noised Image;Image Quality Assessment;Android Malware;JSON Object;Wavelet Transform;Malware Detection;Malicious Application;Wavelet Coefficients;Machine Learning Models;NEs;Unsupervised Machine Learning;Dynamic Control Structure
