Name: Social Sensing: Building Reliable Systems on Unreliable Data (en Inglés)
Price: 89500.00 CLP
Availability: InStock
Author: Dong Wang; Tarek Abdelzaher; Lance Kaplan
ISBN: 9780128008676

portada Social Sensing: Building Reliable Systems on Unreliable Data (en Inglés)

Formato

Libro Físico

Editorial

Morgan Kaufmann

Autor

Dong Wang; Tarek Abdelzaher; Lance Kaplan

Año

2015

Idioma

Inglés

N° páginas

232

Encuadernación

Tapa Blanda

ISBN13

9780128008676

N° edición

Categorías

Data mining: minería de datos

Social Sensing: Building Reliable Systems on Unreliable Data (en Inglés)

Dong Wang; Tarek Abdelzaher; Lance Kaplan (Autor) · Morgan Kaufmann · Tapa Blanda

Libro Físico

$ 89.500

$ 149.160

Ahorras: $ 59.660

40% descuento

Envío normal

Origen: Reino Unido (Costos de importación incluídos en el precio)

Se enviará desde nuestra bodega entre el Lunes 03 de Junio y el Jueves 13 de Junio.

Lo recibirás en cualquier lugar de Chile entre 1 y 3 días hábiles luego del envío.

Reseña del libro "Social Sensing: Building Reliable Systems on Unreliable Data (en Inglés)"

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 reliabilityPresents novel theoretical foundations for assured social sensing and modeling humans as sensorsIncludes case studies and application examples based on real data setsSupplemental material includes sample datasets and fact-finding software that implements the main algorithms described in the book