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Mohamed Medhat Gaber & Ranga Raju Vatsavai 
Knowledge Discovery from Sensor Data [PDF ebook] 
Second International Workshop, Sensor-KDD 2008, Las Vegas, NV, USA, August 24-27, 2008, Revised Selected Papers

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Cover von Mohamed Medhat Gaber & Ranga Raju Vatsavai: Knowledge Discovery from Sensor Data (PDF)
€71.39
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Inhaltsverzeichnis

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.- Wi Fi 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.
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Sprache Englisch ● Format PDF ● Seiten 227 ● ISBN 9783642125195 ● Herausgeber Mohamed Medhat Gaber & Ranga Raju Vatsavai ● Verlag Springer Berlin ● Ort Heidelberg ● Land DE ● Erscheinungsjahr 2010 ● herunterladbar 24 Monate ● Währung EUR ● ID 2171837 ● Kopierschutz Adobe DRM
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