Social Sensing: Building Reliable Systems on Unreliable Data Contributor(s): Wang, Dong (Author), Abdelzaher, Tarek (Author), Kaplan, Lance (Author) |
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ISBN: 0128008679 ISBN-13: 9780128008676 Publisher: Morgan Kaufmann Publishers OUR PRICE: $98.95 Product Type: Paperback - Other Formats Published: March 2015 |
Additional Information |
BISAC Categories: - Computers | Databases - Data Mining - Computers | Networking - General - Technology & Engineering | Sensors |
Dewey: 302.3 |
LCCN: 2015297402 |
Physical Information: 0.49" H x 7.5" W x 9.25" (0.89 lbs) 232 pages |
Descriptions, Reviews, Etc. |
Publisher 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. |