Mathematical Problems in Data Science Theoretical and Practical Methods /
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...
Call Number: | Libro Electrónico |
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Main Authors: | , , |
Corporate Author: | |
Format: | Electronic eBook |
Language: | Inglés |
Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2015.
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Edition: | 1st ed. 2015. |
Subjects: | |
Online Access: | Texto Completo |