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» Discovering Conditional Functional Dependencies
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GIS
2009
ACM
14 years 2 months ago
REG^2: a regional regression framework for geo-referenced datasets
Traditional regression analysis derives global relationships between variables and neglects spatial variations in variables. Hence they lack the ability to systematically discover...
Oner Ulvi Celepcikay, Christoph F. Eick
ICDCS
2007
IEEE
14 years 4 months ago
Self-Similar Algorithms for Dynamic Distributed Systems
This paper proposes a methodology for designing a class of algorithms for computing functions in dynamic distributed systems in which communication channels and processes may ceas...
K. Mani Chandy, Michel Charpentier
UAI
1998
13 years 11 months ago
Large Deviation Methods for Approximate Probabilistic Inference
We study two-layer belief networks of binary random variables in which the conditional probabilities Pr childjparents depend monotonically on weighted sums of the parents. In larg...
Michael J. Kearns, Lawrence K. Saul
UAI
1994
13 years 11 months ago
A New Look at Causal Independence
Heckerman (1993) defined causal independence in terms of a set of temporal conditional independence statements. These statements formalized certain types of causal interaction whe...
David Heckerman, John S. Breese
ICDE
1996
IEEE
120views Database» more  ICDE 1996»
14 years 11 months ago
Towards the Reverse Engineering of Denormalized Relational Databases
This paper describes a method to cope with denormalized relational schemas in a database reverse engineering process. We propose two main steps to irnprove the understanding of da...
Jean-Marc Petit, Farouk Toumani, Jean-Franç...