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2020 | OriginalPaper | Buchkapitel

Big Data Analysis: Theory and Applications

verfasst von : Yong Shi, Pei Quan

Erschienen in: Large-Scale Scientific Computing

Verlag: Springer International Publishing

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Abstract

With the continuous improvement of data processing capabilities and storage capabilities, Big Data Era has entered the public sight. Under such a circumstance, the generation of massive data has greatly facilitated the development of data mining algorithms. This paper describes the status of data mining and presents three of our works: optimization-based data mining, intelligent knowledge and the intelligence quotient of Artificial Intelligence respectively. Besides that, we also introduced some applications that have emerged in the context of big data. Furthermore, this paper indicates three potential directions for future research of big data analysis.

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Vorheriges Kapitel First-Order System Least Squares Finite-Elements for Singularly Perturbed Reaction-Diffusion Equations

Nächstes Kapitel Solutions to the Hamilton-Jacobi Equation for Bolza Problems with State Constraints and Discontinuous Time Dependent Data

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Titel: Big Data Analysis: Theory and Applications
verfasst von: Yong Shi
Pei Quan
Verlag: Springer International Publishing
Buch: Large-Scale Scientific Computing
Print ISBN: 978-3-030-41031-5

Electronic ISBN: 978-3-030-41032-2

Copyright-Jahr: 2020
DOI: https://doi.org/10.1007/978-3-030-41032-2_2

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