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» Capturing missing tuples and missing values
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PODS
2010
ACM
228views Database» more  PODS 2010»
13 years 6 months ago
Capturing missing tuples and missing values
Databases in real life are often neither entirely closed-world nor entirely open-world. Indeed, databases in an enterprise are typically partially closed, in which a part of the d...
Wenfei Fan, Floris Geerts
KDD
2009
ACM
207views Data Mining» more  KDD 2009»
14 years 5 months ago
DynaMMo: mining and summarization of coevolving sequences with missing values
Given multiple time sequences with missing values, we propose DynaMMo which summarizes, compresses, and finds latent variables. The idea is to discover hidden variables and learn ...
Lei Li, James McCann, Nancy S. Pollard, Christos F...
KDD
2007
ACM
182views Data Mining» more  KDD 2007»
14 years 5 months ago
Cleaning disguised missing data: a heuristic approach
In some applications such as filling in a customer information form on the web, some missing values may not be explicitly represented as such, but instead appear as potentially va...
Ming Hua, Jian Pei
BTW
2007
Springer
164views Database» more  BTW 2007»
13 years 11 months ago
Integrating Structural Joins into a Tuple-Based XPath Algebra
: Over the recent years, very little effort has been made to give XPath a proper algebraic treatment. The only laudable exception is the Natix Algebra (NAL) which defines the tran...
Christian Mathis
ICDE
2011
IEEE
200views Database» more  ICDE 2011»
12 years 8 months ago
Deriving probabilistic databases with inference ensembles
— Many real-world applications deal with uncertain or missing data, prompting a surge of activity in the area of probabilistic databases. A shortcoming of prior work is the assum...
Julia Stoyanovich, Susan B. Davidson, Tova Milo, V...