Handbook of Big Data Analytics (Springer Handbooks of Computational Statistics)

Addressing a broad range of big data analytics in cross-disciplinary applications, this essential handbook focuses on the statistical prospects offered by recent developments in this field. To do so, it covers statistical methods for high-dimensional problems, algorithmic designs, computation tools, analysis flows and the software-hardware co-designs that are needed to support insightful discoveries from big data. The book is primarily intended for statisticians, computer experts, engineers and application developers interested in using big data analytics with statistics. Readers should have a solid background in statistics and computer science.  

這本重要手冊涵蓋了跨學科應用中的大數據分析的廣泛範疇，專注於該領域最近發展所提供的統計前景。為此，它涵蓋了高維問題的統計方法、算法設計、計算工具、分析流程以及支持從大數據中獲得深入洞察的軟硬體共同設計。本書主要針對對使用統計學進行大數據分析感興趣的統計學家、電腦專家、工程師和應用開發人員。讀者應具備扎實的統計學和計算機科學背景。