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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 /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Gaber, Mohamed Medhat (Editor ), Vatsavai, Ranga Raju (Editor ), Omitaomu, Olufemi A. (Editor ), Gama, João (Editor ), Chawla, Nitesh V. (Editor ), Ganguly, Auroop R. (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2010.
Edición:1st ed. 2010.
Colección:Information Systems and Applications, incl. Internet/Web, and HCI ; 5840
Temas:
Acceso en línea:Texto Completo

MARC

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245 1 0 |a Knowledge Discovery from Sensor Data  |h [electronic resource] :  |b Second International Workshop, Sensor-KDD 2008, Las Vegas, NV, USA, August 24-27, 2008, Revised Selected Papers /  |c edited by Mohamed Medhat Gaber, Ranga Raju Vatsavai, Olufemi A. Omitaomu, João Gama, Nitesh V. Chawla, Auroop R. Ganguly. 
250 |a 1st ed. 2010. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2010. 
300 |a IX, 227 p. 110 illus.  |b online resource. 
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490 1 |a Information Systems and Applications, incl. Internet/Web, and HCI ;  |v 5840 
505 0 |a 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. 
650 0 |a Information storage and retrieval systems. 
650 0 |a Computer networks . 
650 0 |a Database management. 
650 0 |a Data mining. 
650 0 |a Pattern recognition systems. 
650 1 4 |a Information Storage and Retrieval. 
650 2 4 |a Computer Communication Networks. 
650 2 4 |a Database Management. 
650 2 4 |a Data Mining and Knowledge Discovery. 
650 2 4 |a Automated Pattern Recognition. 
700 1 |a Gaber, Mohamed Medhat.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Vatsavai, Ranga Raju.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Omitaomu, Olufemi A.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Gama, João.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Chawla, Nitesh V.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Ganguly, Auroop R.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
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776 0 8 |i Printed edition:  |z 9783642125188 
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