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IEAAIE
2009
Springer
14 years 7 months ago
Constructing Decisional DNA on Renewable Energy: A Case Study
Knowledge engineering techniques are becoming useful and popular components of hybrid integrated systems used to solve complicated practical problems in different fields. Knowledge...
Cesar Sanín, Edward Szczerbicki
AAAI
2010
14 years 11 months ago
Learning Causal Models of Relational Domains
Methods for discovering causal knowledge from observational data have been a persistent topic of AI research for several decades. Essentially all of this work focuses on knowledge...
Marc Maier, Brian Taylor, Huseyin Oktay, David Jen...
CCR
2005
131views more  CCR 2005»
14 years 9 months ago
A clean slate 4D approach to network control and management
Today's data networks are surprisingly fragile and difficult to manage. We argue that the root of these problems lies in the complexity of the control and management planes--...
Albert G. Greenberg, Gísli Hjálmt&ya...
ACSW
2004
14 years 10 months ago
Experiences in Building a Tool for Navigating Association Rule Result Sets
Practical knowledge discovery is an iterative process. First, the experiences gained from one mining run are used to inform the parameter setting and the dataset and attribute sel...
Peter Fule, John F. Roddick
ACSC
2004
IEEE
15 years 1 months ago
Detecting Privacy and Ethical Sensitivity in Data Mining Results
Knowledge discovery allows considerable insight into data. This brings with it the inherent risk that what is inferred may be private or ethically sensitive. The process of genera...
Peter Fule, John F. Roddick