Sublinear Algorithms for Big Data Applications (SpringerBriefs in Computer Science)
暫譯: 大數據應用的次線性演算法 (計算機科學斯普林格簡報)

Dan Wang, Zhu Han

商品描述

The brief focuses on applying sublinear algorithms to manage critical big data challenges. The text offers an essential introduction to sublinear algorithms, explaining why they are vital to large scale data systems. It also demonstrates how to apply sublinear algorithms to three familiar big data applications: wireless sensor networks, big data processing in Map Reduce and smart grids. These applications present common experiences, bridging the theoretical advances of sublinear algorithms and the application domain. Sublinear Algorithms for Big Data Applications is suitable for researchers, engineers and graduate students in the computer science, communications and signal processing communities.

商品描述(中文翻譯)

本書簡介專注於應用次線性演算法來管理關鍵的大數據挑戰。文本提供了次線性演算法的基本介紹,解釋了它們為何對大規模數據系統至關重要。它還展示了如何將次線性演算法應用於三個熟悉的大數據應用:無線感測器網路、Map Reduce 中的大數據處理以及智慧電網。這些應用呈現了共同的經驗,橋接了次線性演算法的理論進展與應用領域。《次線性演算法在大數據應用中的應用》適合計算機科學、通信和信號處理領域的研究人員、工程師及研究生。