Titlebook: Advanced Intelligent Systems for Sustainable Development (AI2SD’2018); Vol 3: Advanced Inte Mostafa Ezziyyani Conference proceedings 2019 S

集聚成团

https://doi.org/10.1007/978-3-86226-304-2he Spark project can effectively be used to obtain insights from massive datasets. Finally, we will focus on presenting the advantages that provide the distributed execution model of Spark by exploring three Apache Spark APIs: RDD, Dataframe, and SparkR.

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Conference proceedings 2019s held in Tangiers, Morocco on 12–14 July 2018. It highlights how advanced intelligent systems have successfully been used to develop tools and techniques for modeling, prediction and decision support in connection with the environment.. Though chiefly intended for researchers and practitioners in a

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Einführende Hinweise für die Benutzunguality. In this paper we develop a methodology to estimate traffic flows and the main goal is to create an inventory emission, in the center of city where most pedestrians and vehicles are concentrated.

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Bibliographie Georg Kerschensteineros by combining the available variables at will. We present a case study where, departing from a generalized additive model, a possible explanation is given for the distribution of two haplotypes of honeybees along Iberian Peninsula. The results of our model are compared and discussed at the light of the real data collected on the terrain.

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2194-5357 nternational Conference on Advanced Intelligent Systems for .This book gathers papers presented at the International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD-2018), which was held in Tangiers, Morocco on 12–14 July 2018. It highlights how advanced intelligent sys

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2194-5357 to those working in environment and the Internet of Things, environment and big data analysis, summarization, prediction, remote sensing & geo-information, geophysics, marine and coastal environments, and sensor networks for environment services.978-3-030-11880-8978-3-030-11881-5Series ISSN 2194-5357 Series E-ISSN 2194-5365