Big Data Analysis: New Algorithms for a New Society
暫譯: 大數據分析:為新社會設計的新演算法
Japkowicz, Nathalie, Stefanowski, Jerzy
- 出版商: Springer
- 出版日期: 2019-03-27
- 售價: $7,920
- 貴賓價: 9.5 折 $7,524
- 語言: 英文
- 頁數: 329
- 裝訂: Quality Paper - also called trade paper
- ISBN: 3319800531
- ISBN-13: 9783319800530
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相關分類:
大數據 Big-data、Data Science、Algorithms-data-structures
海外代購書籍(需單獨結帳)
商品描述
This edited volume is devoted to Big Data Analysis from a Machine Learning standpoint as presented by some of the most eminent researchers in this area.
It demonstrates that Big Data Analysis opens up new research problems which were either never considered before, or were only considered within a limited range. In addition to providing methodological discussions on the principles of mining Big Data and the difference between traditional statistical data analysis and newer computing frameworks, this book presents recently developed algorithms affecting such areas as business, financial forecasting, human mobility, the Internet of Things, information networks, bioinformatics, medical systems and life science. It explores, through a number of specific examples, how the study of Big Data Analysis has evolved and how it has started and will most likely continue to affect society. While the benefits brought upon by Big Data Analysis are underlined, the book also discusses some of the warnings that have been issued concerning the potential dangers of Big Data Analysis along with its pitfalls and challenges.
商品描述(中文翻譯)
這本編輯書籍專注於從機器學習的角度分析大數據,並由該領域一些最傑出的研究者呈現。
它展示了大數據分析開啟了新的研究問題,這些問題要麼之前從未考慮過,要麼僅在有限的範圍內考慮過。除了提供有關挖掘大數據原則的方法論討論,以及傳統統計數據分析與較新計算框架之間的差異外,本書還介紹了最近開發的算法,這些算法影響了商業、金融預測、人類流動性、物聯網、信息網絡、生物信息學、醫療系統和生命科學等領域。通過一些具體的例子,本書探討了大數據分析的研究如何演變,以及它如何開始並很可能繼續影響社會。雖然強調了大數據分析帶來的好處,但本書也討論了一些有關大數據分析潛在危險的警告,以及其陷阱和挑戰。