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Knowledge Discovery from Sensor Data : 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: Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: SpringerLink Bücher | Lecture notes in computer science ; 5840Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010Description: Online-Ressource (IX, 227p. 110 illus, digital)ISBN:
  • 9783642125195
Subject(s): Genre/Form: Additional physical formats: 9783642125188 | Buchausg. u.d.T.: Knowledge discovery from sensor data. Berlin : Springer, 2010. X, 225 S.DDC classification:
  • 025.04
  • 004
  • 004
LOC classification:
  • QA75.5-76.95
  • QA76.9.D343
DOI: DOI: 10.1007/978-3-642-12519-5Online resources: Summary: 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.PPN: PPN: 1649438060Package identifier: Produktsigel: ZDB-2-LNC | ZDB-2-SCS | ZDB-2-SXCS | ZDB-2-SEB | ZDB-2-LNC
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