The special needs of the OLAP technology was the main cause of the use of a multidimensional view of the data. As a result of the use of this technology in new fields of knowledge (e. g. medical data) and the integration of data from heterogeneous sources, it has become necessary for multidimensional models to supports new needs. To model complex or nor well defined domains or to integrate data...

Data warehouse is a powerful tool which makes decision faster and reliable in organizations where ‘information’ is the main asset of primary concern. It is very necessary to assure the information quality of the data warehouse. Information quality depends on multidimensional model quality of data warehouse. In the last few years’ different authors have suggested several approaches to access the...

A significant data mining issue is the effective discovery of association rules. The extraction of association rules faces the problem of the combinatorial explosion of the search space, and the loss of information by the discretization of values. The first problem is confronted effectively by the Frequent Pattern Tree approach of [10]. This approach avoids the candidate generation phase of Apr...

Fuzzy Description Logics (Fuzzy DLs) and fuzzy OWL have been proposed as languages able to represent and reason about imprecise and vague knowledge. Such extensions have gained considerable attention the last couple of years since on the one hand they are pivotal for applications that are inherently imprecise, like multimedia analysis and retrieval, geospatial applications and more, while on th...

A new tree automata framework, called equational tree automata, is presented. In the newly introduced setting, congruence closures of recognizable tree languages are recognizable. Furthermore, we prove that in certain useful cases, recognizable tree languages are closed under union and intersection. To compare with early related work, e.g. [7], we discuss the relationship between linear bounded...

This thesis is devoted to the study of subshifts, or symbolic dynamical systems, defined on some finitely presented monoids like Zd or the infinite binary tree. The main result concerning multidimensional subshifts establishes that any effective subshift of dimension d can be obtained by factor map and projective subaction of a subshift of finite type of dimension d+ 1. This result has many app...

A fuzzy language is defined to be a fuzzy subset of the set of strings over a finite alphabet. The notions of union, intersection, concatenation, Kleene closure, and grammar for such languages are defined as extensions of the corresponding notions in the theory of formal languages. An explicit expression for the membership function of the language Z,(G) generated by a fuzzy grammar G is given, ...

Feature based similarity search is emerging as an important search paradigm in database systems. The technique used is to map the data items as points into a high dimensional feature space which is indexed using a multidimensional data structure. Similarity search then corresponds to a range search over the data structure. Traditional multidimensional data structures (e.g., R-tree, KDB-tree, gr...

The classification and regression trees (CART) possess the advantage of being able to handlelarge data sets and yield readily interpretable models. In spite to these advantages, they are alsorecognized as highly unstable classifiers with respect to minor perturbations in the training data.In the other words methods present high variance. Fuzzy logic brings in an improvement in theseaspects due ...

A fuzzy ARTMAP system is a system for incremental supervised learning of recognition categories and multidimensional maps in response to arbitrary sequence of analog or binary input vectors. The original fuzzy ARTMAP system incorporates two fuzzy ART modules and an inter-ART module. Many different approaches have been proposed to modify fuzzy ARTMAP systems. In this paper, we proposed a new app...