Integrating Rough Set and Genetic Algorithm for Negative Rule Extraction

2009 ◽  
pp. 50-57
Author(s):  
Junyu Liu ◽  
Yubao Liu ◽  
Yan Long
Keyword(s):  
Genetic Algorithm ◽  
Rough Set ◽  
Rule Extraction ◽  
Negative Rule

A genetic algorithm-based rule extraction system

2012 ◽  
Vol 12 (1) ◽  
pp. 238-254 ◽  
Author(s):  
Bikash Kanti Sarkar ◽  
Shib Sankar Sana ◽  
Kripasindhu Chaudhuri
Keyword(s):  
Genetic Algorithm ◽  
Rule Extraction ◽  
Extraction System

Data Discovery Approaches for Vague Spatial Data

Data Mining ◽  
2013 ◽  
pp. 50-65
Author(s):  
Frederick E. Petry
Keyword(s):  
Data Mining ◽  
Fuzzy Sets ◽  
Association Rules ◽  
Rough Set ◽  
Fuzzy Set ◽  
Spatial Data ◽  
Spatial Databases ◽  
Uncertain Data ◽  
Rule Extraction ◽  
Data Discovery

This chapter focuses on the application of the discovery of association rules in approaches vague spatial databases. The background of data mining and uncertainty representations using rough set and fuzzy set techniques is provided. The extensions of association rule extraction for uncertain data as represented by rough and fuzzy sets is described. Finally, an example of rule extraction for both types of uncertainty representations is given.

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