ORDEN: Outlier region detection and exploration in sensor networks

SIGMOD-PODS'09 - Proceedings of the International Conference on Management of Data and 28th Symposium on Principles of Database Systems

Volumn , Issue , 2009, Pages 1075-1077

  Franke, Conny ^a   Gertz, Michael ^b  

^a University of California   (United States)

^b UNIVERSITY OF HEIDELBERG   (Germany)

Author keywords

Outlier detection; Sensor data; Stream processing

Indexed keywords

ANOMALOUS EVENTS; APPLICATION DOMAINS; GEOGRAPHIC AREAS; KEY FEATURE; OUTLIER DETECTION; REAL-WORLD; REGION DETECTION; SENSOR DATA; SENSOR MEASUREMENTS; SPATIAL EXTENT; THRESHOLD SETTING; TRAFFIC VOLUMES;

DATA PROCESSING; DATABASE SYSTEMS; HYDRAULICS;

SENSOR NETWORKS;

EID: 70849127921     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1559845.1559985     Document Type: Conference Paper

References (4)

1. California Irrigation Management Information System (CIMIS). http://wwwcimis.water.ca.gov.
2. MIT Computer Science and Artificial Intelligence Lab: Intel lab sensor data. http://db.csail.mit.edu/labdata/labdata.html.
3. Tropical Atmosphere Ocean Project. http://www.pmel.noaa.gov/tao/.
4. C. Franke and M. Gertz. Detection and Exploration of Outlier Regions in Sensor Data Streams. In SSTDM '08: Workshop on Spatial and Spatiotemporal Data Mining at IEEE ICDM 2008, 2008.