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Social Sensing : Building Reliable Systems on Unreliable Data Paperback / softback
by Dong (Assistant Professor, Department of Computer Science and Engineering, University of Notre Wang, Tarek (Professor and Willett Faculty Scholar, Department of Computer Science, University Abdelzaher, Lance (Networked Sensing and Fusion Branch, U.S. Army Research Laboratory, Adelphia, MD, USA Kaplan
Paperback / softback
Description
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.
Information
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Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Paperback / softback
- Pages:232 pages
- Publisher:Elsevier Science & Technology
- Publication Date:24/03/2015
- Category:
- ISBN:9780128008676
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Paperback / softback
- Pages:232 pages
- Publisher:Elsevier Science & Technology
- Publication Date:24/03/2015
- Category:
- ISBN:9780128008676