High Performance Discovery In Time Series: Techniques and Case Studies (Monographs in Computer Science)
暫譯: 時間序列中的高效能發現:技術與案例研究(計算機科學專著)

New York University

  • 出版商: Springer
  • 出版日期: 2011-12-12
  • 售價: $4,480
  • 貴賓價: 9.5$4,256
  • 語言: 英文
  • 頁數: 190
  • 裝訂: Paperback
  • ISBN: 1441918426
  • ISBN-13: 9781441918420
  • 相關分類: Computer-Science
  • 海外代購書籍(需單獨結帳)

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商品描述

This monograph is a technical survey of concepts and techniques for describing and analyzing large-scale time-series data streams. Some topics covered are algorithms for query by humming, gamma-ray burst detection, pairs trading, and density detection. Included are self-contained descriptions of wavelets, fast Fourier transforms, and sketches as they apply to time-series analysis. Detailed applications are built on a solid scientific basis.

商品描述(中文翻譯)

這本專著是關於描述和分析大規模時間序列數據流的概念和技術的技術調查。涵蓋的一些主題包括透過哼唱查詢的演算法、伽瑪射線爆發檢測、配對交易以及密度檢測。書中包含了小波(wavelets)、快速傅立葉變換(fast Fourier transforms)和草圖(sketches)在時間序列分析中的自足描述。詳細的應用建立在堅實的科學基礎上。