Knowledge Discovery from Sensor Data Second International Workshop, Sensor-KDD 2008, Las Vegas, NV, USA, August 24-27, 2008, Revised Selected Papers /
Knowledge Discovery from Sensor Data Second International Workshop, Sensor-KDD 2008, Las Vegas, NV, USA, August 24-27, 2008, Revised Selected Papers / [electronic resource] :
edited by Mohamed Medhat Gaber, Ranga Raju Vatsavai, Olufemi A. Omitaomu, João Gama, Nitesh V. Chawla, Auroop R. Ganguly.
- 1st ed. 2010.
- IX, 227 p. 110 illus. online resource.
- Information Systems and Applications, incl. Internet/Web, and HCI, 5840 2946-1642 ; .
- Information Systems and Applications, incl. Internet/Web, and HCI, 5840 .
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.
9783642125195
10.1007/978-3-642-12519-5 doi
Information storage and retrieval systems.
Computer networks .
Database management.
Data mining.
Pattern recognition systems.
Information Storage and Retrieval.
Computer Communication Networks.
Database Management.
Data Mining and Knowledge Discovery.
Automated Pattern Recognition.
QA75.5-76.95
025.04
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.
9783642125195
10.1007/978-3-642-12519-5 doi
Information storage and retrieval systems.
Computer networks .
Database management.
Data mining.
Pattern recognition systems.
Information Storage and Retrieval.
Computer Communication Networks.
Database Management.
Data Mining and Knowledge Discovery.
Automated Pattern Recognition.
QA75.5-76.95
025.04