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IWANN
2011
Springer
9 years 5 months ago
A Preliminary Study on the Use of Fuzzy Rough Set Based Feature Selection for Improving Evolutionary Instance Selection Algorith
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...
Joaquín Derrac, Chris Cornelis, Salvador Ga...
IJAR
2011
118views more  IJAR 2011»
9 years 6 months ago
A sequential pattern mining algorithm using rough set theory
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...
Ken Kaneiwa, Yasuo Kudo
JDCTA
2010
228views more  JDCTA 2010»
9 years 9 months ago
Research and Progress of Cluster Algorithms based on Granular Computing
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...
Shifei Ding, Li Xu, Hong Zhu, Liwen Zhang
APIN
2004
131views more  APIN 2004»
10 years 2 months ago
Rough Self Organizing Map
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...
Sankar K. Pal, Biswarup Dasgupta, Pabitra Mitra
SOCO
2008
Springer
10 years 2 months ago
Tabu search for attribute reduction in rough set theory
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...
Abdel-Rahman Hedar, Jue Wang, Masao Fukushima
ENGL
2008
87views more  ENGL 2008»
10 years 3 months ago
A Well-Balanced Menu Planning with Fuzzy Weight
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...
Tomoko Kashima, Shimpei Matsumoto, Hiroaki Ishii
AMC
2008
87views more  AMC 2008»
10 years 3 months ago
Mining classification rules with Reduced MEPAR-miner Algorithm
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 ...
Emel Kizilkaya Aydogan, Cevriye Gencer
GRC
2010
IEEE
10 years 4 months ago
Local Pattern Mining from Sequences Using Rough Set Theory
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 ...
Ken Kaneiwa, Yasuo Kudo
RSCTC
2004
Springer
116views Fuzzy Logic» more  RSCTC 2004»
10 years 8 months ago
Constrained Sums of Information Systems
We study properties of infomorphisms between information systems. In particular, we interpret infomorphisms between information systems in terms of sums with constraints (constrain...
Andrzej Skowron, Jaroslaw Stepaniuk
RSFDGRC
2005
Springer
190views Data Mining» more  RSFDGRC 2005»
10 years 8 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
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