Mathematical Problems in Data Science Theoretical and Practical Methods

Mathematical Problems in Data Science Theoretical and Practical Methods / by Li M. Chen, Zhixun Su, Bo Jiang.

This book describes current problems in data science and Big Data. Key topics are data classification, Graph Cut, the Laplacian Matrix, Google Page Rank, efficient algorithms, hardness of problems, different types of big data, geometric data structures, topological data processing, and various learn...

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Bibliographic Details
Main Authors: Chen, Li M. (Author), Su, Zhixun (Author), Jiang, Bo (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2015.
Edition:1st ed. 2015.
Series:Springer eBook Collection.
Subjects:
Computers.
Computer communication systems.
Computer science—Mathematics.
Electronic resources (E-books)
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Call Number: E-Book
Status: Available

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