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» Capturing missing tuples and missing values
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MOBIDE
2010
ACM
13 years 8 months ago
Using data mining to handle missing data in multi-hop sensor network applications
A sensor's data loss or corruption, aka sensor data missing, is a common phenomenon in modern wireless sensor networks. It is more severe for multi-hop sensor network (MSN) a...
Le Gruenwald, Hanqing Yang, Md. Shiblee Sadik, Rah...
ISI
2002
Springer
13 years 7 months ago
Getting right answers from incomplete multidimensional databases
Dealing with large volumes of data, OLAP data cubes aggregated values are often spoiled by errors due to missing values in detailed data. This paper suggests to adjust aggregate an...
Sabine Goutier, Georges Hébrail, Vér...
CORR
2010
Springer
255views Education» more  CORR 2010»
13 years 8 months ago
Scalable Tensor Factorizations for Incomplete Data
The problem of incomplete data--i.e., data with missing or unknown values--in multi-way arrays is ubiquitous in biomedical signal processing, network traffic analysis, bibliometri...
Evrim Acar, Tamara G. Kolda, Daniel M. Dunlavy, Mo...
ICDE
2010
IEEE
243views Database» more  ICDE 2010»
14 years 7 months ago
Probabilistic Contextual Skylines
The skyline query returns the most interesting tuples according to a set of explicitly defined preferences among attribute values. This work relaxes this requirement, and allows us...
Anastasios Arvanitis, Dimitris Sacharidis, Timos K...
COMAD
2008
13 years 9 months ago
The Orion Uncertain Data Management System
Orion is a state-of-the-art uncertain database management system that extends the relational model to include probabilistic uncertain data as first call data types. This demonstra...
Sarvjeet Singh, Chris Mayfield, Sagar Mittal, Suni...