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» A Data Imputation Model in Sensor Databases
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EDBT
2009
ACM
149views Database» more  EDBT 2009»
13 years 2 months ago
Towards integrated and efficient scientific sensor data processing: a database approach
In this work, we focus on managing scientific environmental data, which are measurement readings collected from wireless sensors. In environmental science applications, raw sensor...
Ji Wu, Yongluan Zhou, Karl Aberer, Kian-Lee Tan
ICDE
2006
IEEE
201views Database» more  ICDE 2006»
14 years 6 months ago
Approximate Data Collection in Sensor Networks using Probabilistic Models
Wireless sensor networks are proving to be useful in a variety of settings. A core challenge in these networks is to minimize energy consumption. Prior database research has propo...
David Chu, Amol Deshpande, Joseph M. Hellerstein, ...
DEBU
2006
163views more  DEBU 2006»
13 years 5 months ago
Towards Activity Databases: Using Sensors and Statistical Models to Summarize People's Lives
Automated reasoning about human behavior is a central goal of artificial intelligence. In order to engage and intervene in a meaningful way, an intelligent system must be able to ...
Tanzeem Choudhury, Matthai Philipose, Danny Wyatt,...
DMSN
2010
ACM
13 years 3 months ago
Facilitating fine grained data provenance using temporal data model
E-science applications use fine grained data provenance to maintain the reproducibility of scientific results, i.e., for each processed data tuple, the source data used to proce...
Mohammad Rezwanul Huq, Andreas Wombacher, Peter M....
DMSN
2008
ACM
13 years 6 months ago
Probabilistic processing of interval-valued sensor data
When dealing with sensors with different time resolutions, it is desirable to model a sensor reading as pertaining to a time interval rather than a unit of time. We introduce two ...
Sander Evers, Maarten M. Fokkinga, Peter M. G. Ape...