Knowledge Discovery from Sensor Data

SOMMARIO

Data Mining for Diagnostic Debugging in Sensor Networks: Preliminary Evidence and Lessons Learned.- Monitoring Incremental Histogram Distribution for Change Detection in Data Streams.- Situation-Aware Adaptive Visualization for Sensory Data Stream Mining.- Unsupervised Plan Detection with Factor Graphs.- WiFi Miner: An Online Apriori-Infrequent Based Wireless Intrusion System.- Probabilistic Analysis of a Large-Scale Urban Traffic Sensor Data Set.- Spatio-temporal Outlier Detection in Precipitation Data.- Large-Scale Inference of Network-Service Disruption upon Natural Disasters.- An Adaptive Sensor Mining Framework for Pervasive Computing Applications.- A Simple Dense Pixel Visualization for Mobile Sensor Data Mining.- Incremental Anomaly Detection Approach for Characterizing Unusual Profiles.- Spatiotemporal Neighborhood Discovery for Sensor Data.

ALTRE INFORMAZIONI

• Condizione: Nuovo
• ISBN: 9783642125188
• Collana: Lecture Notes in Computer Science
• Dimensioni: 235 x 155 mm Ø 454 gr
• Formato: Brossura
• Illustration Notes: IX, 227 p. 110 illus.
• Pagine Arabe: 227
• Pagine Romane: ix