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» A Data Imputation Model in Sensor Databases
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HPCC
2007
Springer
13 years 9 months ago
A Data Imputation Model in Sensor Databases
Data missing is a common problem in database query processing, which can cause bias or lead to inefficient analyses, and this problem happens more often in sensor databases. The re...
Nan Jiang
DASFAA
2007
IEEE
234views Database» more  DASFAA 2007»
13 years 10 months ago
Estimating Missing Data in Data Streams
Networks of thousands of sensors present a feasible and economic solution to some of our most challenging problems, such as real-time traffic modeling, military sensing and trackin...
Nan Jiang, Le Gruenwald
ICDM
2008
IEEE
96views Data Mining» more  ICDM 2008»
13 years 10 months ago
Filling in the Blanks - Krimp Minimisation for Missing Data
Many data sets are incomplete. For correct analysis of such data, one can either use algorithms that are designed to handle missing data or use imputation. Imputation has the bene...
Jilles Vreeken, Arno Siebes
PCI
2005
Springer
13 years 9 months ago
Towards In-Situ Data Storage in Sensor Databases
Abstract. The advances in wireless communications along with the exponential growth of transistors per integrated circuit lead to a rapid evolution of Wireless Sensor Devices (WSDs...
Demetrios Zeinalipour-Yazti, Vana Kalogeraki, Dimi...
MDM
2001
Springer
13 years 8 months ago
Towards Sensor Database Systems
Sensor networks are being widely deployed for measurement, detection and surveillance applications. In these new applications, users issue long-running queries over a combination o...
Philippe Bonnet, Johannes Gehrke, Praveen Seshadri