IWANN
2011
Springer
13 years 3 months ago
2011
Springer
In recent years, the increasing interest in fuzzy rough set theory has allowed the definition of novel accurate methods for feature selection. Although their stand-alone applicati...
IJAR
2011
13 years 4 months ago
2011
Sequential pattern mining is a crucial but challenging task in many applications, e.g., analyzing the behaviors of data in transactions and discovering frequent patterns in time se...
JDCTA
2010
13 years 7 months ago
2010
Granular Computing (GrC), a knowledge-oriented computing which covers the theory of fuzzy information granularity, rough set theory, the theory of quotient space and interval comp...
APIN
2004
14 years 18 days ago
2004
A rough self-organizing map (RSOM) with fuzzy discretization of feature space is described here. Discernibility reducts obtained using rough set theory are used to extract domain k...
SOCO
2008
Springer
14 years 19 days ago
2008
Springer
Attribute reduction of an information system is a key problem in rough set theory and its applications. Using computational intelligence (CI) tools to solve such problems has rece...
ENGL
2008
14 years 24 days ago
2008
For lifestyle-related disease caused by recent change of eating habits in Japan, this paper proposes a menu planning method using rough set theory, and it can satisfy each individu...
AMC
2008
14 years 26 days ago
2008
In this study, a new classification technique based on rough set theory and MEPAR-miner algorithm for association rule mining is introduced. Proposed method is called as `Reduced ...
GRC
2010
IEEE
14 years 1 months ago
2010
IEEE
Abstract--Sequential pattern mining is a crucial but challenging task in many applications, e.g., analyzing the behaviors of data in transactions and discovering frequent patterns ...
RSCTC
2004
Springer
14 years 6 months ago
2004
Springer
We study properties of infomorphisms between information systems. In particular, we interpret infomorphisms between information systems in terms of sums with constraints (constrain...
RSFDGRC
2005
Springer
14 years 6 months ago
2005
Springer
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...