ISBN:
9780128011317
,
0128011319
,
0128008679
,
9780128008676
Language:
English
Pages:
1 online resource (1 volume)
,
illustrations
Edition:
First edition
Parallel Title:
Erscheint auch als
DDC:
004.7
Keywords:
COMPUTERS / Computer Literacy
;
COMPUTERS / Computer Science
;
COMPUTERS / Data Processing
;
COMPUTERS / Hardware / General
;
COMPUTERS / Information Technology
;
COMPUTERS / Machine Theory
;
COMPUTERS / Reference
;
Big data
;
Data mining
;
Social media
;
Cloud computing
;
Computer software / Development
;
Distributed operating systems (Computers)
;
Social media
;
Data mining
;
Big data
;
Data Mining
;
Social Media
;
Big Data
;
Social Media
;
Data Mining
;
Big Data
Abstract:
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
Note:
Includes bibliographical references and index
URL:
Volltext
(URL des Erstveröffentlichers)
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