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...
Κύριοι συγγραφείς: | Chen, Li M. (Συγγραφέας), Su, Zhixun (Συγγραφέας), Jiang, Bo (Συγγραφέας) |
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Συγγραφή απο Οργανισμό/Αρχή: | SpringerLink (Online service) |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2015.
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Έκδοση: | 1st ed. 2015. |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Παρόμοια τεκμήρια
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Theoretical and Mathematical Foundations of Computer Science Second International Conference, ICTMF 2011, Singapore, May 5-6, 2011. Selected Papers /
Έκδοση: (2011) -
Transactions on Large-Scale Data- and Knowledge-Centered Systems XVI Selected Papers from ACOMP 2013 /
Έκδοση: (2014) -
Big Data Technologies and Applications
ανά: Furht, Borko, κ.ά.
Έκδοση: (2016) -
Advances in Computing and Data Sciences First International Conference, ICACDS 2016, Ghaziabad, India, November 11-12, 2016, Revised Selected Papers /
Έκδοση: (2017) -
Innovations for Community Services 16th International Conference, I4CS 2016, Vienna, Austria, June 27-29, 2016, Revised Selected Papers /
Έκδοση: (2016)