Knowledge Discovery from Sensor Data
Regular price
€82.99
advanced sensor data analytics applications
Age Group_Uncategorized
Age Group_Uncategorized
Aggregation Service
anomaly
Anomaly Detection
Anomaly Detection Methods
automatic-update
B01=Auroop R. Ganguly
B01=Joao Gama
B01=Mohamed Gaber
B01=Olufemi A. Omitaomu
B01=Ranga Raju Vatsavai
Case Study
Category1=Non-Fiction
Category=UNF
COP=United Kingdom
Data Set
datasets
Delivery_Pre-order
detection
distributed data analysis
Dynamic Linear Model
environment
environmental monitoring systems
eq_bestseller
eq_computing
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Gps Outage
heterogeneous sensor integration
home
Im En
INESC Porto
ISOMAP
Its
Kalman Filter
Language_English
Massive Data Streams
METAR Data
Network Load
PA=Temporarily unavailable
partially
Price_€50 to €100
PS=Active
real-time data mining
relations
Routing Tree
sensor fusion techniques
Sensor Graph
Sensor Networks
Sensor Node
smart
Smart Environment
Smart Home
softlaunch
Spatio Temporal Data Mining
synthetic
Synthetic Datasets
temporal
temporal pattern recognition
Tra Ld
WSN
Product details
- ISBN 9780367386238
- Weight: 440g
- Dimensions: 156 x 234mm
- Publication Date: 19 Sep 2019
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Paperback
- Language: English
Secure
checkout
Fast Shipping
Easy returns
As sensors become ubiquitous, a set of broad requirements is beginning to emerge across high-priority applications including disaster preparedness and management, adaptability to climate change, national or homeland security, and the management of critical infrastructures. This book presents innovative solutions in offline data mining and real-time analysis of sensor or geographically distributed data. It discusses the challenges and requirements for sensor data based knowledge discovery solutions in high-priority application illustrated with case studies. It explores the fusion between heterogeneous data streams from multiple sensor types and applications in science, engineering, and security.
Auroop R. Ganguly, João Gama, Olufemi A. Omitaomu, Mohamed Medhat Gaber, Ranga Raju Vatsavai
