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» Combining Fuzzy Information from Multiple Systems
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GRC
2008
IEEE
15 years 6 months ago
Fuzzy Entropy based Max-Relevancy and Min-Redundancy Feature Selection
Feature selection is an important problem for pattern classification systems. Mutual information is a good indicator of relevance between variables, and has been used as a measure...
Shuang An, Qinghua Hu, Daren Yu
BMCBI
2006
164views more  BMCBI 2006»
15 years 5 months ago
BIOZON: a system for unification, management and analysis of heterogeneous biological data
Integration of heterogeneous data types is a challenging problem, especially in biology, where the number of databases and data types increase rapidly. Amongst the problems that o...
Aaron Birkland, Golan Yona
CSMR
2006
IEEE
15 years 11 months ago
Using Version Information in Architectural Clustering - A Case Study
This paper describes a case study that uses clustering to group classes of an existing objectoriented system of significant size into subsystems. The clustering process is based o...
Andreas Wierda, Eric Dortmans, Lou J. Somers
ICIS
2004
15 years 6 months ago
Reconciling Attribute Values from Multiple Data Sources
Because of the heterogeneous nature of multiple data sources, data integration is often one of the most challenging tasks of today's information systems. While the existing l...
Zhengrui Jiang, Sumit Sarkar, Prabuddha De, Debabr...
TSMC
2010
14 years 11 months ago
State-Feedback Control of Fuzzy Discrete-Event Systems
In a 2002 paper, we combined fuzzy logic with discrete-event systems (DESs) and established an automaton model of fuzzy DESs (FDESs). The model can effectively represent determinis...
Feng Lin, Hao Ying