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IJAR
2008
82views more  IJAR 2008»
14 years 10 months ago
Probabilistic rough set approximations
This paper reviews probabilistic approaches to rough sets in granulation, approximation, and rule induction. The Shannon entropy function is used to quantitatively characterize pa...
Yiyu Yao
ICML
1997
IEEE
15 years 10 months ago
Automatic Rule Acquisition for Spelling Correction
This paper describes a new approach to automatically learning linguistic knowledge for spelling correction. A major feature of this approach is the fact that the acquired knowledg...
Lidia Mangu, Eric Brill
CCGRID
2004
IEEE
15 years 1 months ago
Privacy-preserving association rule mining in large-scale distributed systems
Data privacy is a major concern that threatens the widespread deployment of Data Grids in domains such as health-care and finance. We propose a unique approach for obtaining knowl...
Assaf Schuster, Ran Wolff, Bobi Gilburd
EDOC
2007
IEEE
15 years 4 months ago
Business Process Integration by Using General Rule Markup Language
A business process usually includes multiple business partners that use systems with their business logics represented in different rule (or policy) languages. The integration of ...
Milan Milanovic, Nima Kaviani, Dragan Gasevic, Adr...
DMIN
2006
132views Data Mining» more  DMIN 2006»
14 years 11 months ago
Discovering Accurate and Interesting Classification Rules Using Genetic Algorithm
Discovering accurate and interesting classification rules is a significant task in the post-processing stage of a data mining (DM) process. Therefore, an optimization problem exis...
Janaki Gopalan, Reda Alhajj, Ken Barker