Feature Engineering for Machine Learning and Data Analytics
-10%
portes grátis
Feature Engineering for Machine Learning and Data Analytics
Dong, Guozhu; Liu, Huan
Taylor & Francis Ltd
04/2018
400
Dura
Inglês
9781138744387
15 a 20 dias
771
Descrição não disponível.
1. Preliminaries and Overview 2. Feature Engineering for Text Data 3. Feature Extraction and Learning for Visual Data 4. Feature-based time-series analysis 5. Feature Engineering for Data Streams 6. Feature Generation and Feature Engineering for Sequences 7. Feature Generation for Graphs and Networks 8. Feature Selection and Evaluation 9. Automating Feature Engineering in Supervised Learning 10. Pattern based Feature Generation 11. Deep Learning for Feature Representation 12. Feature Engineering for Social Bot Detection 13. Feature Generation and Engineering for Software Analytics 14. Feature Engineering for Twitter-based Applications
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Feature Selection;Feature Selection Algorithms;Kernel PCA;feature generation;Social Bot;feature extraction;RBM;supervised learning;Deep Learning Algorithms;unsupervised learning;Feature Selection Methods;big data;Minimum Support Threshold;Huan Liu;Word Embeddings;Chase Geigle;Matching Dataset;Qiaozhu Mei;Feature Representation Learning;ChengXiang Zhai;PoS Tag;Parag S. Chandakkar;Frequent Sequence Patterns;Ragav Venkatesan;Defect Prediction;Baoxin Li;Heterogeneous Graph;Ben D. Fulcher;Data Set;Yao Ma;Feature Selection Result;Jiliang Tang;Fundus Image;Charu Aggarwal;Graph Embedding;Lei Duan;Time Series Classification;Jyrki Nummenmaa;Tweet Text;Peng Zhang;Distinguishing Sequence Patterns;Yuan Yao;DBM;Hanghang Tong;Twitter User;Feng Xu;Pattern Mining;Jian Lu;Yun Li;Tao Li;Udayan Khurana;Yunzhe Jia;James Bailey;Ramamohanarao Kotagiri;Christopher Leckie;Suhang Wang;Onur Varol;Clayton A. Davis;Filippo Menczer;Alessandro Flammini;Xin Xia;David Lo;Sanjaya Wijeratne;Amit Sheth;Shreyansh Bhatt;Lakshika Balasuriya;Hussein S. Al-Olimat;Manas Gaur;Amir Hossein Yazdavar;Krishnaprasad Thirunarayan
1. Preliminaries and Overview 2. Feature Engineering for Text Data 3. Feature Extraction and Learning for Visual Data 4. Feature-based time-series analysis 5. Feature Engineering for Data Streams 6. Feature Generation and Feature Engineering for Sequences 7. Feature Generation for Graphs and Networks 8. Feature Selection and Evaluation 9. Automating Feature Engineering in Supervised Learning 10. Pattern based Feature Generation 11. Deep Learning for Feature Representation 12. Feature Engineering for Social Bot Detection 13. Feature Generation and Engineering for Software Analytics 14. Feature Engineering for Twitter-based Applications
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Feature Selection;Feature Selection Algorithms;Kernel PCA;feature generation;Social Bot;feature extraction;RBM;supervised learning;Deep Learning Algorithms;unsupervised learning;Feature Selection Methods;big data;Minimum Support Threshold;Huan Liu;Word Embeddings;Chase Geigle;Matching Dataset;Qiaozhu Mei;Feature Representation Learning;ChengXiang Zhai;PoS Tag;Parag S. Chandakkar;Frequent Sequence Patterns;Ragav Venkatesan;Defect Prediction;Baoxin Li;Heterogeneous Graph;Ben D. Fulcher;Data Set;Yao Ma;Feature Selection Result;Jiliang Tang;Fundus Image;Charu Aggarwal;Graph Embedding;Lei Duan;Time Series Classification;Jyrki Nummenmaa;Tweet Text;Peng Zhang;Distinguishing Sequence Patterns;Yuan Yao;DBM;Hanghang Tong;Twitter User;Feng Xu;Pattern Mining;Jian Lu;Yun Li;Tao Li;Udayan Khurana;Yunzhe Jia;James Bailey;Ramamohanarao Kotagiri;Christopher Leckie;Suhang Wang;Onur Varol;Clayton A. Davis;Filippo Menczer;Alessandro Flammini;Xin Xia;David Lo;Sanjaya Wijeratne;Amit Sheth;Shreyansh Bhatt;Lakshika Balasuriya;Hussein S. Al-Olimat;Manas Gaur;Amir Hossein Yazdavar;Krishnaprasad Thirunarayan
