Titlebook: Distributed Computing and Artificial Intelligence, 13th International Conference; Sigeru Omatu,Ali Semalat,Javier Bajo Conference proceedi

Polydipsia

唠叨

Taxonomy, Systematics and Evolution,elligent data analysis. This research provides a possible solution to analyze the growing quantity of data. An algorithm that can check coordinates to locate suppliers and applicants who live next door. A business application using our algorithm has been developed by the Autour.com company (located

讨厌

到婚嫁年龄

The Eurasian Project and Europetionship of the elements: Occidental Family Trees (OFT) and Oriental Family Trees, especially, Chinese Family Trees (CFT). This paper analyzes the efficiency of these two kinds of trees in the context of relationship presentation and extraction of information. Using the developed OFT and CFT present

财政

缺乏

https://doi.org/10.1057/9781137472960sks, language translation, software design, etc. Deep learning uses a combination of techniques to achieve its prediction accuracy, but essentially all existing approaches are based on multi-layer neural networks with deep architectures, i.e., several layers of processing units containing a large nu

evanescent

Prajakti Kalra,Siddharth Saxenafying the transportation mode and routes performed. This passive tracking generates useful data about users’ habits, which are then associated with the CO. emission in the form of a mobility invoice, with the goal of enabling the users to understand their carbon footprint resulting from the users’ m

NOMAD

David Lane,Vsevolod Samokhvalov mobility habits, which should be correctly analysed to extract useful knowledge. In our research we explore a data mining approach based on a Naïve Bayes (NB) classifier applied to different sources of big data. To achieve this goal, we propose a methodology based on four processes that collects da

Infinitesimal

addict

Kateryna G. Schroeder,William H. Meyers tend to be complicated, for example, the order of the nodes that agents should visit may be alternative or commutable. This paper proposes a framework for specifying constraints on the itineraries of agents and solving the itineraries that can satisfy the constraints. The contribution of this frame