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» Knowledge discovery from sensor data (SensorKDD)
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CORR
2008
Springer
143views Education» more  CORR 2008»
14 years 9 months ago
Join Bayes Nets: A new type of Bayes net for relational data
Many real-world data are maintained in relational format, with different tables storing information about entities and their links or relationships. The structure (schema) of the ...
Oliver Schulte, Hassan Khosravi, Flavia Moser, Mar...
LCN
2003
IEEE
15 years 3 months ago
ReInForM: Reliable Information Forwarding Using Multiple Paths in Sensor Networks
Sensor networks are meant for sensing and disseminating information about the environment they sense. The criticality of a sensed phenomenon determines it’s importance to the en...
Budhaditya Deb, Sudeept Bhatnagar, Badri Nath
ICDE
2009
IEEE
223views Database» more  ICDE 2009»
15 years 11 months ago
Another Outlier Bites the Dust: Computing Meaningful Aggregates in Sensor Networks
Abstract-- Recent work has demonstrated that readings provided by commodity sensor nodes are often of poor quality. In order to provide a valuable sensory infrastructure for monito...
Antonios Deligiannakis, Yannis Kotidis, Vasilis Va...
DIALM
2004
ACM
161views Algorithms» more  DIALM 2004»
15 years 1 months ago
Batch conflict resolution algorithm with progressively accurate multiplicity estimation
The wireless connectivity, essential for pervasive computing, has ephemeral character and can be used for creating ad hoc networks, sensor networks, connection with RFID tags etc....
Petar Popovski, Frank H. P. Fitzek, Ramjee Prasad
KDD
2008
ACM
138views Data Mining» more  KDD 2008»
15 years 10 months ago
A visual-analytic toolkit for dynamic interaction graphs
In this article we describe a visual-analytic tool for the interrogation of evolving interaction network data such as those found in social, bibliometric, WWW and biological appli...
Xintian Yang, Sitaram Asur, Srinivasan Parthasarat...