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» Discerning landslide susceptibility using rough sets
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URBAN
2008
128views more  URBAN 2008»
13 years 4 months ago
Discerning landslide susceptibility using rough sets
Rough set theory has been primarily known as a mathematical approach for analysis of a vague description of objects. This paper explores the use of rough set theory to manage the ...
Pece V. Gorsevski, Piotr Jankowski
IJAR
2011
118views more  IJAR 2011»
12 years 8 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
GRC
2010
IEEE
13 years 6 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
APIN
2004
131views more  APIN 2004»
13 years 4 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
JCIT
2007
107views more  JCIT 2007»
13 years 4 months ago
A New Approach to Computing Weighted Attributes Values in Incomplete Information Systems
The Rough Sets theory has been conceived to deal with inexact, uncertain or vague knowledge in Information systems. The article is devoted to propose notions including the general...
Tian Hong, Wang Xiukun, Henryk Rybinski