Andere Kunden interessierten sich auch für
![Intelligent Data Engineering and Automated Learning ¿ IDEAL 2016]( "Intelligent Data Engineering and Automated Learning ¿ IDEAL 2016")
Intelligent Data Engineering and Automated Learning ¿ IDEAL 201637,99 €![Intelligent Data Engineering and Automated Learning ¿ IDEAL 2023]( "Intelligent Data Engineering and Automated Learning ¿ IDEAL 2023")
Intelligent Data Engineering and Automated Learning ¿ IDEAL 202360,99 €![Intelligent Data Engineering and Automated Learning ¿ IDEAL 2021]( "Intelligent Data Engineering and Automated Learning ¿ IDEAL 2021")
Intelligent Data Engineering and Automated Learning ¿ IDEAL 202174,99 €![Advanced Analytics and Learning on Temporal Data]( "Advanced Analytics and Learning on Temporal Data")
Advanced Analytics and Learning on Temporal Data41,99 €![Intelligent Data Engineering and Automated Learning -- IDEAL 2012]( "Intelligent Data Engineering and Automated Learning -- IDEAL 2012")
Intelligent Data Engineering and Automated Learning -- IDEAL 201239,99 €![Data Integration in the Life Sciences]( "Data Integration in the Life Sciences")
Data Integration in the Life Sciences30,99 €![Data Mining and Knowledge Discovery with Evolutionary Algorithms]( "Data Mining and Knowledge Discovery with Evolutionary Algorithms")
Data Mining and Knowledge Discovery with Evolutionary Algorithms77,99 €
This book constitutes the refereed proceedings of the 18th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2017, held in Guilin, China, in October/November 2017.
The 65 full papers presented were carefully reviewed and selected from 110 submissions. These papers provided a sample of latest research outcomes in data engineering and automated learning, from methodologies, frameworks and techniques to applications. In addition to various topics such as evolutionary algorithms, deep learning neural networks, probabilistic modelling, particle swarm intelligence, big data analytics, and applications in image recognition, regression, classification, clustering, medical and biological modelling and prediction, text processing and social media analysis.
The 65 full papers presented were carefully reviewed and selected from 110 submissions. These papers provided a sample of latest research outcomes in data engineering and automated learning, from methodologies, frameworks and techniques to applications. In addition to various topics such as evolutionary algorithms, deep learning neural networks, probabilistic modelling, particle swarm intelligence, big data analytics, and applications in image recognition, regression, classification, clustering, medical and biological modelling and prediction, text processing and social media analysis.