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RSEISP
2007
Springer
16 years 23 days ago
Interpreting Low and High Order Rules: A Granular Computing Approach
The main objective of this paper is to provide a granular computing based interpretation of rules representing two levels of knowledge. This is done by adopting and adapting the de...
Yiyu Yao, Bing Zhou, Yaohua Chen
AAAI
2010
15 years 8 months ago
Toward an Architecture for Never-Ending Language Learning
We consider here the problem of building a never-ending language learner; that is, an intelligent computer agent that runs forever and that each day must (1) extract, or read, inf...
Andrew Carlson, Justin Betteridge, Bryan Kisiel, B...
KDD
1998
ACM
145views Data Mining» more  KDD 1998»
15 years 11 months ago
Aggregation of Imprecise and Uncertain Information for Knowledge Discovery in Databases
We consider the problem of aggregation for uncertain and imprecise data. For such data, we define aggregation operators and use them to provide information on properties and patte...
Sally I. McClean, Bryan W. Scotney, Mary Shapcott
WCRE
2003
IEEE
15 years 12 months ago
Improving Fact Extraction of Framework-Based Software Systems
Modern software frameworks provide a set of common and prefabricated software artifacts that support engineers in developing large-scale software systems. Framework-related inform...
Jens Knodel, Martin Pinzger
ICAISC
2004
Springer
16 years 1 days ago
Semi-mechanistic Models for State-Estimation - Soft Sensor for Polymer Melt Index Prediction
Nonlinear state estimation is a useful approach to the monitoring of industrial (polymerization) processes. This paper investigates how this approach can be followed to the develop...
Balazs Feil, János Abonyi, Peter Pach, Sand...