Graph Data Mining : Algorithm, Security and Application /
Contiene: 1) Estimación de fuente de información con red neuronal gráfica multicanal; 2) Predicción de enlace basada en red de alta estructura; 3) Aprendizaje amplio basado en redes de subgrafos para clasificación de grafos; 4) Aumento de subgrafos con aplicación a minería de grafos; 5) Ataques adve...
Tallennettuna:
| Päätekijä: | |
|---|---|
| Muut tekijät: | , |
| Aineistotyyppi: | Kirja |
| Kieli: | englanti |
| Julkaistu: |
Singapur :
Springer,
2021, c2021
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| Aiheet: | |
| Linkit: | Ver documento en línea |
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Samankaltaisia teoksia: Graph Data Mining :
- Algorithms and Computation : 24th International Symposium, ISAAC 2013 Hong Kong, China, December 16-18, 2013 Proceedings /
- Feature Engineering for Machine Learning and Data Analytics /
- Feature Engineering for Machine Learning : Principles and Techniques for Data Scientists /
- Feature Engineering for Machine Learning : Principles and Techniques for Data Scientists /
- Codeless Deep Learning with KNIME : Build, Train, and Deploy Various Deep Neural Network Architectures Using KNIME Analytics Platform /
- Feature Engineering Made Easy : Identify Unique Features From Your Dataset in Order to Build Powerful Machine Learning Systems /