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» Generation of Attributes for Learning Algorithms
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RSCTC
1993
Springer
161views Fuzzy Logic» more  RSCTC 1993»
13 years 11 months ago
Quantifying Uncertainty of Knowledge Discovered From Databases
This paper focuses on the application of rough set constructs to inductive learning from a database. A design guideline is suggested, which provides users the option to choose app...
Yang Xiang, S. K. Michael Wong, Nick Cercone
GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
14 years 1 months ago
Constructive induction and genetic algorithms for learning concepts with complex interaction
Constructive Induction is the process of transforming the original representation of hard concepts with complex interaction into a representation that highlights regularities. Mos...
Leila Shila Shafti, Eduardo Pérez
KDD
2006
ACM
123views Data Mining» more  KDD 2006»
14 years 8 months ago
Mining rank-correlated sets of numerical attributes
We study the mining of interesting patterns in the presence of numerical attributes. Instead of the usual discretization methods, we propose the use of rank based measures to scor...
Toon Calders, Bart Goethals, Szymon Jaroszewicz
TFS
2008
230views more  TFS 2008»
13 years 7 months ago
SGERD: A Steady-State Genetic Algorithm for Extracting Fuzzy Classification Rules From Data
Abstract--This paper considers the automatic design of fuzzyrule-based classification systems from labeled data. The performance of classifiers and the interpretability of generate...
Eghbal G. Mansoori, Mansoor J. Zolghadri, Seraj D....
ICAI
2010
13 years 5 months ago
An Efficient Sequential Covering Algorithm for Explaining Subsets of Data
Given a subset of data that differs from the rest, a user often wants an explanation as to why this is the case. For instance, in a database of flights, a user may want to understa...
Matthew Michelson, Sofus A. Macskassy