Für statistische Zwecke und um bestmögliche Funktionalität zu bieten, speichert diese Website Cookies auf Ihrem Gerät. Das Speichern von Cookies kann in den Browser-Einstellungen deaktiviert werden. Wenn Sie die Website weiter nutzen, stimmen Sie der Verwendung von Cookies zu.
Cookie akzeptierenLi M. Chen / Bo Jiang / Zhixun Su
Mathematical Problems in Data Science
- Springer International Publishing
- 2015
- Gebunden
- 232 Seiten
- ISBN 9783319251257
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 learning methods. For unsolved problems such as incomplete data relation and reconstruction, the book includes possible solutions and both statistical and computational methods for data analysis. Initial chapters focus on exploring the properties of incomplete data sets and partial-connectedness among data points or data sets. Discussions also cover the completion problem of Netflix matrix; machine learning method on massive data sets; image segmentation and
Mehr
Weniger
zzgl. Versand
in Kürze