Name: Intelligence Science and Big Data Engineering. Visual Data Engineering: 9th International Conference, Iscide 2019, Nanjing, China, October 17-20, 2019 (en Inglés)
SKU: 57273627
Price: 1568.38 MXN
Availability: InStock
Author: Cui, Zhen ; Pan, Jinshan ; Zhang, Shanshan
ISBN: 9783030361884

portada Intelligence Science and Big Data Engineering. Visual Data Engineering: 9th International Conference, Iscide 2019, Nanjing, China, October 17-20, 2019 (en Inglés)

Intelligence Science and Big Data Engineering. Visual Data Engineering: 9th International Conference, Iscide 2019, Nanjing, China, October 17-20, 2019 (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Cui, Zhen ; Pan, Jinshan ; Zhang, Shanshan

Idioma

Inglés

N° páginas

577

Encuadernación

Tapa Blanda

Dimensiones

23.4x15.6x3.1 cm

Peso

0.83 kg.

ISBN13

9783030361884

Categorías

Internet: obras generales
Aplicaciones gráficas y multimedia
Minería de datos («data mining»)

Intelligence Science and Big Data Engineering. Visual Data Engineering: 9th International Conference, Iscide 2019, Nanjing, China, October 17-20, 2019 (en Inglés)

Cui, Zhen ; Pan, Jinshan ; Zhang, Shanshan (Autor) · Springer · Tapa Blanda

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Reseña del libro "Intelligence Science and Big Data Engineering. Visual Data Engineering: 9th International Conference, Iscide 2019, Nanjing, China, October 17-20, 2019 (en Inglés)"

The two volumes LNCS 11935 and 11936 constitute the proceedings of the 9th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2019, held in Nanjing, China, in October 2019. The 84 full papers presented were carefully reviewed and selected from 252 submissions.The papers are organized in two parts: visual data engineering; and big data and machine learning. They cover a large range of topics including information theoretic and Bayesian approaches, probabilistic graphical models, big data analysis, neural networks and neuro-informatics, bioinformatics, computational biology and brain-computer interfaces, as well as advances in fundamental pattern recognition techniques relevant to image processing, computer vision and machine learning.