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» Rough Sets for Uncertainty Reasoning
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TKDE
2008
108views more  TKDE 2008»
14 years 11 months ago
Grid Service Discovery with Rough Sets
The computational grid is rapidly evolving into a service-oriented computing infrastructure that facilitates resource sharing and large-scale problem solving over the Internet. Ser...
Maozhen Li, Bin Yu, Omer F. Rana, Zidong Wang
FUIN
2006
160views more  FUIN 2006»
14 years 11 months ago
Behavioral Pattern Identification Through Rough Set Modeling
This paper introduces an approach to behavioral pattern identification as a part of a study of temporal patterns in complex dynamical systems. Rough set theory introduced by Zdzisl...
Jan G. Bazan
RSCTC
1993
Springer
161views Fuzzy Logic» more  RSCTC 1993»
15 years 3 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
EWCBR
2006
Springer
15 years 3 months ago
Rough Set Feature Selection Algorithms for Textual Case-Based Classification
Feature selection algorithms can reduce the high dimensionality of textual cases and increase case-based task performance. However, conventional algorithms (e.g., information gain)...
Kalyan Moy Gupta, David W. Aha, Philip Moore
ICCBR
2003
Springer
15 years 4 months ago
Unifying Weighting and Case Reduction Methods Based on Rough Sets to Improve Retrieval
Case-Based Reasoning systems usually retrieve cases using a similarity function based on K-NN or some derivatives. These functions are sensitive to irrelevant or noisy features. We...
Maria Salamó, Elisabet Golobardes