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With the advent of electronic filing and big data bases at the Internal Revenue Service, Professor Goolsbee's suggestion is a fresh gale of clean reason capable of sweeping out the fetid air of complex instructions.
This dashboard is able to integrate complex and ever-changing big data bases serving as 'signposts' of city intelligence (or i-city smartness) for daily or strategic decisions of all urban stakeholders.
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In this paper, we present a distributed cortical algorithm implementation for the unsupervised learning of big data based on a combined node-data parallelization scheme.
Thus, the smart factory is characterized by a self-organized multi-agent system assisted with big data based feedback and coordination.
In this work, we parallelize an ELM algorithm for unsupervised learning on a distributed framework to learn clustering models from big data based on the unsupervised ELM algorithm proposed in the literature.
The above financial innovations characterize Internet finance as microfinance oriented, big data based, and multidiscipline-interfused.
Big data based credit scoring (BDCS) is to evaluate customer credit using massive data analytics for e-businesses.
In future, algorithms can be developed which can optimize energy efficiency in big data based on artificial intelligence.
In order to understand what is new about big data based crisis analytics, we will have to understand, first, what big data is.
CCMS is characterized by its revolutionary nature in the properties of real-time, big data based, social network correlated, and complexity.
In addition, the paper investigates the general requirements for the design and implementation of big data based applications for smart city applications and services.
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