Knowledge Discovery from Sensor Data [electronic resource] : Second International Workshop, Sensor-KDD 2008, Las Vegas, NV, USA, August 24-27, 2008, Revised Selected Papers / edited by Mohamed Medhat Gaber, Ranga Raju Vatsavai, Olufemi A. Omitaomu, João Gama, Nitesh V. Chawla, Auroop R. Ganguly.
By: Gaber, Mohamed Medhat [editor.].
Contributor(s): Vatsavai, Ranga Raju [editor.] | Omitaomu, Olufemi A [editor.] | Gama, João [editor.] | Chawla, Nitesh V [editor.] | Ganguly, Auroop R [editor.] | SpringerLink (Online service).
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BookSeries: Lecture Notes in Computer Science: 5840Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010Description: IX, 227p. 110 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642125195.Subject(s): Computer science | Computer Communication Networks | Database management | Data mining | Information storage and retrieval systems | Optical pattern recognition | Computer Science | Information Storage and Retrieval | Computer Communication Networks | Database Management | Data Mining and Knowledge Discovery | Pattern RecognitionDDC classification: 025.04 Online resources: Click here to access online 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.
This book contains thoroughly refereed extended papers from the Second International Workshop on Knowledge Discovery from Sensor Data, Sensor-KDD 2008, held in Las Vegas, NV, USA, in August 2008. The 12 revised papers presented together with an invited paper were carefully reviewed and selected from numerous submissions. The papers feature important aspects of knowledge discovery from sensor data, e.g., data mining for diagnostic debugging; incremental histogram distribution for change detection; situation-aware adaptive visualization; WiFi mining; mobile sensor data mining; incremental anomaly detection; and spatiotemporal neighborhood discovery for sensor data.
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