Social Sensing: Building Reliable Systems on Unreliable Data Paperback

Dong Wang, Tarek Abdelzaher, Lance Kaplan

  • 出版商: Morgan Kaufmann
  • 出版日期: 2015-03-23
  • 售價: $2,990
  • 貴賓價: 9.5$2,841
  • 語言: 英文
  • 頁數: 232
  • 裝訂: Paperback
  • ISBN: 0128008679
  • ISBN-13: 9780128008676
  • 下單後立即進貨 (約2~3週)

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商品描述

Increasingly, human beings are sensors engaging directly with the mobile Internet. Individuals can now share real-time experiences at an unprecedented scale. Social Sensing: Building Reliable Systems on Unreliable Data looks at recent advances in the emerging field of social sensing, emphasizing the key problem faced by application designers: how to extract reliable information from data collected from largely unknown and possibly unreliable sources. The book explains how a myriad of societal applications can be derived from this massive amount of data collected and shared by average individuals. The title offers theoretical foundations to support emerging data-driven cyber-physical applications and touches on key issues such as privacy. The authors present solutions based on recent research and novel ideas that leverage techniques from cyber-physical systems, sensor networks, machine learning, data mining, and information fusion.

  • Offers a unique interdisciplinary perspective bridging social networks, big data, cyber-physical systems, and reliability
  • Presents novel theoretical foundations for assured social sensing and modeling humans as sensors
  • Includes case studies and application examples based on real data sets
  • Supplemental material includes sample datasets and fact-finding software that implements the main algorithms described in the book