An Intelligent Mining Framework based on Rough Sets for Clustering Gene Expression Data
نویسندگان
چکیده
منابع مشابه
Rough Sets as a Framework for Data Mining
The issues of Real World are: a) Very large data sets b) Mixed types of data (continuous valued, symbolic data) c) Uncertainty (noisy data) d) Incompleteness (missing, incomplete data) e) Data change f) Use of background knowledge The main goal of the rough set analysis is induction of approximations of concepts. Rough sets constitute a sound basis for KDD. It offers mathematical tools to disco...
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Junbo Zhang,1,† Tianrui Li,1,∗ Da Ruan,2,3,‡ Dun Liu4,§ School of Information Science and Technology, Southwest Jiaotong University, Chengdu 610031, People’s Republic of China Belgian Nuclear Research Centre (SCK•CEN), Boeretang 200, 2400 Mol, Belgium Department of Applied Mathematics & Computer Science, Ghent University, 9000 Gent, Belgium School of Economics and Management, Southwest Jiaotong...
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The aim of this paper is to introduce and study set- valued homomorphism on lattices and T-rough lattice with respect to a sublattice. This paper deals with T-rough set approach on the lattice theory. The result of this study contributes to, T-rough fuzzy set and approximation theory and proved in several papers. Keywords: approximation space; lattice; prime ideal; rough ideal; T-rough set; set...
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Knowledge discovery in databases, or data mining, is becoming increasingly important both for research and business application, as a mean for extracting knowledge from large databases. However, most of the work done in data mining has concentrated on the situations where the training data is entirely consistent, which is not always the case in real world databases. In this paper we propose a f...
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ژورنال
عنوان ژورنال: Journal of Applied Sciences
سال: 2012
ISSN: 1812-5654
DOI: 10.3923/jas.2012.1932.1938