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IEEEVAST
2010
13 years 5 days ago
Helping users recall their reasoning process
The final product of an analyst`s investigation using a visualization is often a report of the discovered knowledge, as well as the methods employed and reasoning behind the disco...
Heather Richter Lipford, Felesia Stukes, Wenwen Do...
HAIS
2009
Springer
13 years 10 months ago
An Evolutionary Ensemble-Based Method for Rule Extraction with Distributed Data
This paper presents a methodology for knowledge discovery from inherently distributed data without moving it from its original location, completely or partially, to other locations...
Diego M. Escalante, Miguel Angel Rodriguez, Antoni...
PKDD
1998
Springer
96views Data Mining» more  PKDD 1998»
13 years 9 months ago
Knowledge Discovery with Qualitative Influences and Synergies
We review some approaches to qualitative uncertainty and propose a new one based on the idea of Absolute Order of Magnitude. We show that our ideas can be useful for Knowledge Disc...
Jesús Cerquides, Ramon López de M&aa...
KDD
2005
ACM
160views Data Mining» more  KDD 2005»
14 years 5 months ago
Optimizing time series discretization for knowledge discovery
Knowledge Discovery in time series usually requires symbolic time series. Many discretization methods that convert numeric time series to symbolic time series ignore the temporal ...
Alfred Ultsch, Fabian Mörchen
DSS
2008
83views more  DSS 2008»
13 years 5 months ago
Knowledge discovery for adaptive negotiation agents in e-marketplaces
Intelligent software agents are promising in improving the effectiveness of e-marketplaces for e-commerce. Although a large amount of research has been conducted to develop negoti...
Raymond Y. K. Lau, Yuefeng Li, Dawei Song, Ron Chi...