Télécharger le livre :  Mathematical Problems in Data Science
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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...

Editeur : Springer
Parution : 2015-12-15

PDF, ePub

116,04
Télécharger le livre :  Digital and Discrete Geometry
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This book provides comprehensive coverage of the modern methods for geometric problems in the computing sciences. It also covers concurrent topics in data sciences including geometric processing, manifold learning, Google search, cloud data, and R-tree for wireless...

Editeur : Springer
Parution : 2014-12-12

ePub

52,74