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As many others, we expect most public big data resources will eventually be provided as 5-star linked data (Berners-Lee, 2007).
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We hope this work will serve as unified and comprehensive guide to integrating new big data resources into customary transportation demand modeling.
These companies successively developed big data indexes jointly with owners of Internet big data resources, including Baidu, Sina, and Alibaba.
Consequently, the data in Big Data resources must be annotated with information that describes the contained data.
Big Data resources are highly complex; their data cannot be organized as a simple array of rows and columns.
Introspection is one of the most important features in a well-designed Big Data resource.
Such annotations form the core of Linked Data approach (Berners-Lee, 2007), and add significantly to the usefulness of a big data resource.
As a result, big data technologies will have a significant impact in the energy sector.
Most of the data mining algorithms in big data analytics will be designed for parallel computing.
Then the concept of big data, cloud computing, and some of the existing cloud-based datacenter platforms including tools for big data analytics will be introduced.
In addition, the big data will help decision-makers to plan for any expansion in either smart city services, resources, or areas.
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