Mining stock price using fuzzy rough set system
YF Wang - Expert Systems with Applications, 2003 - Elsevier
In this study of mining stock price data, we attempt to predict the stronger rules of stock
prices. To address this problem, we proposed an effective method, a fuzzy rough set system …
prices. To address this problem, we proposed an effective method, a fuzzy rough set system …
SAINTETIQ: a fuzzy set-based approach to database summarization
G Raschia, N Mouaddib - Fuzzy sets and systems, 2002 - Elsevier
In this paper, a new approach to database summarization is introduced through our model
named SAINTETIQ. Based on a hierarchical conceptual clustering algorithm, SAINTETIQ …
named SAINTETIQ. Based on a hierarchical conceptual clustering algorithm, SAINTETIQ …
Fuzzy sets in database and information systems: Status and opportunities
P Bosc, D Kraft, F Petry - Fuzzy Sets and Systems, 2005 - Elsevier
Fuzzy set approaches have been applied in the database and information retrieval areas for
nearly 30years. Here we give consideration to aspects of these areas that seem to afford the …
nearly 30years. Here we give consideration to aspects of these areas that seem to afford the …
A multicriteria approach to data summarization using concept ontologies
This paper describes a conceptual and theoretical framework to allow better user control
over data summarization for knowledge discovery. Basic to the approach is a measure of …
over data summarization for knowledge discovery. Basic to the approach is a measure of …
Fuzzy linguistic summaries: Where are we, where can we go?
B Bouchon-Meunier, G Moyse - 2012 IEEE Conference on …, 2012 - ieeexplore.ieee.org
Along with the increase of the amount of data stored and to be analyzed, different
techniques of data analysis have been developed over the years. One of them, the linguistic …
techniques of data analysis have been developed over the years. One of them, the linguistic …
Data mining by attribute generalization with fuzzy hierarchies in fuzzy databases
FE Petry, L Zhao - Fuzzy Sets and Systems, 2009 - Elsevier
In this paper we examine the soft computing issues involving data generalization on fuzzy
information. The attribute induction process is formalized for these three cases: crisp …
information. The attribute induction process is formalized for these three cases: crisp …
A new method for computing fuzzy functional dependencies in relational database systems
M Vucetic, M Hudec, M Vujošević - Expert Systems with Applications, 2013 - Elsevier
In this paper, we present a new method for computing fuzzy functional dependencies
between attributes in fuzzy relational database systems. The method is based on the use of …
between attributes in fuzzy relational database systems. The method is based on the use of …
Possibilistic functional dependencies and their relationship to possibility theory
This paper introduces possibilistic functional dependencies. These dependencies are
associated with a particular possibility distribution over possible worlds of a classical …
associated with a particular possibility distribution over possible worlds of a classical …
Fuzzy functional dependencies and linguistic interpretations employed in knowledge discovery tasks from relational databases
M Vučetić, M Hudec, B Božilović - Engineering Applications of Artificial …, 2020 - Elsevier
Abstract Knowledge discovery from databases copes with several problems including the
heterogeneity of data and interpreting the solution in an understandable and convenient …
heterogeneity of data and interpreting the solution in an understandable and convenient …
FEATURE TRANSFORMATION: A GENETIC‐BASED FEATURE CONSTRUCTION METHOD FOR DATA SUMMARIZATION
R Alfred - Computational Intelligence, 2010 - Wiley Online Library
The importance of input representation has been recognized already in machine learning.
This article discusses the application of genetic‐based feature construction methods to …
This article discusses the application of genetic‐based feature construction methods to …