Mathematical Problems in Data Science [electronic resource] 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 vari...
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| Online Access: |
Online Access (A-Z Journals and Newspapers) |
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| Main Authors: | , , |
| Corporate Author: | |
| Other title: | Mathematical Problems in Data Science: Theoretical and Practical Methods |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2015.
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| Edition: | 1st ed. 2015. |
| Subjects: |