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» Rough Sets in Spatio-temporal Data Mining
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ASC
2011
13 years 2 months ago
A rough set approach to multiple dataset analysis
In the area of data mining, the discovery of valuable changes and connections (e.g., causality) from multiple data sets has been recognized as an important issue. This issue essen...
Ken Kaneiwa
AMT
2006
Springer
91views Multimedia» more  AMT 2006»
13 years 11 months ago
Rough Set Model for Constraint-based Multi-dimensional Association Rule Mining
Abstract. This paper presents a rough set model for constraint-based multidimensional association rule mining. It first overviews the progress in constraintbased multi-dimensional ...
Wanzhong Yang, Yuefeng Li, Yue Xu, Hang Liu
RSFDGRC
2005
Springer
133views Data Mining» more  RSFDGRC 2005»
14 years 29 days ago
Rough Set Approximation Based on Dynamic Granulation
In this paper, the concept of a granulation order is proposed in an information system. The positive approximation of a set under a granulation order is defined. Some properties o...
Jiye Liang, Yuhua Qian, Chengyuan Chu, Deyu Li, Ju...
RSFDGRC
2007
Springer
236views Data Mining» more  RSFDGRC 2007»
14 years 1 months ago
Constructing Associative Classifier Using Rough Sets and Evidence Theory
Constructing accurate classifier based on association rule is an important and challenging task in data mining. In this paper, a novel combination strategy based on rough sets (RST...
Yuan-Chun Jiang, Ye-Zheng Liu, Xiao Liu, Jie-Kui Z...
KDD
1995
ACM
135views Data Mining» more  KDD 1995»
13 years 11 months ago
Rough Sets Similarity-Based Learning from Databases
Manydata mining algorithms developed recently are based on inductive learning methods. Very few are based on similarity-based learning. However, similarity-based learning accrues ...
Xiaohua Hu, Nick Cercone