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...
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| Main Author: |
Chen, Li M., |
| Other Authors: |
Su, Zhixun,, Jiang, Bo,, SpringerLink (Online service) |
| Format: |
eBook
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| Language: |
English
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| Published: |
Cham :
Springer,
2015.
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| Physical Description: |
1 online resource (xv, 213 pages) : illustrations (some color)
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| Subjects: |
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