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RSFDGRC
2005
Springer
190views Data Mining» more  RSFDGRC 2005»
14 years 1 months ago
Finding Rough Set Reducts with SAT
Abstract. Feature selection refers to the problem of selecting those input features that are most predictive of a given outcome; a problem encountered in many areas such as machine...
Richard Jensen, Qiang Shen, Andrew Tuson
RSCTC
2004
Springer
157views Fuzzy Logic» more  RSCTC 2004»
14 years 1 months ago
Rough Approximations under Level Fuzzy Sets
The combination of fuzzy set and rough set theories lead to various models. Functional and set approaches are two categories based on different fuzzy representations. In this pape...
W.-N. Liu, Jingtao Yao, Yiyu Yao
HICSS
2010
IEEE
161views Biometrics» more  HICSS 2010»
14 years 2 months ago
Climate Conscious Relations in a Digital Urban Setting
The climate change has challenged urban living: As an omnipresent force nature sets the agenda for urban life. Using stakeholder theory for conceptualizing urban life, we install ...
Anne Ellerup Nielsen, Sophie Esmann Andersen
NIPS
2008
13 years 9 months ago
Measures of Clustering Quality: A Working Set of Axioms for Clustering
Aiming towards the development of a general clustering theory, we discuss abstract axiomatization for clustering. In this respect, we follow up on the work of Kleinberg, ([1]) tha...
Shai Ben-David, Margareta Ackerman
RSKT
2007
Springer
14 years 2 months ago
Decision-Theoretic Rough Set Models
Abstract. Decision-theoretic rough set models are a probabilistic extension of the algebraic rough set model. The required parameters for defining probabilistic lower and upper ap...
Yiyu Yao