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» Decision-Theoretic Rough Set Models
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ISCI
2011
13 years 2 months ago
Sequential covering rule induction algorithm for variable consistency rough set approaches
We present a general rule induction algorithm based on sequential covering, suitable for variable consistency rough set approaches. This algorithm, called VC-DomLEM, can be used f...
Jerzy Blaszczynski, Roman Slowinski, Marcin Szelag
DAWAK
2006
Springer
13 years 11 months ago
Mining Direct Marketing Data by Ensembles of Weak Learners and Rough Set Methods
This paper describes problem of prediction that is based on direct marketing data coming from Nationwide Products and Services Questionnaire (NPSQ) prepared by Polish division of A...
Jerzy Blaszczynski, Krzysztof Dembczynski, Wojciec...
RSCTC
2004
Springer
150views Fuzzy Logic» more  RSCTC 2004»
14 years 27 days ago
Extracting Protein-Protein Interaction Sentences by Applying Rough Set Data Analysis
illion abstracts. Problem. How to find sentences that talk about protein-protein interactions? Example (Non-Interaction Sentence) All our data are consistent with models in which ...
Filip Ginter, Tapio Pahikkala, Sampo Pyysalo, Jorm...
TRS
2008
13 years 7 months ago
The Neurophysiological Bases of Cognitive Computation Using Rough Set Theory
A popular view is that the brain works in a similar way to a digital computer or a Universal Turing Machine by processing symbols. Psychophysical experiments and our amazing capabi...
Andrzej W. Przybyszewski
CORR
2010
Springer
149views Education» more  CORR 2010»
13 years 7 months ago
Using Rough Set and Support Vector Machine for Network Intrusion Detection
The main function of IDS (Intrusion Detection System) is to protect the system, analyze and predict the behaviors of users. Then these behaviors will be considered an attack or a ...
Rung Ching Chen, Kai-Fan Cheng, Chia-Fen Hsieh