Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Mining Generalized Patterns from Large Databases using Ontologies   Formal Concept Analysis (FCA) is a mathematical theory based on the
formalization of the notions of concept and concept hierarchies. It has been
successfully applied to several Computer Science fields such as data
mining,software engineering, and knowledge engineering, and in many domains
like medicine, psychology, linguistics and ecology. For instance, it has been
exploited for the design, mapping and refinement of ontologies. In this paper,
we show how FCA can benefit from a given domain ontology by analyzing the
impact of a taxonomy (on objects and/or attributes) on the resulting concept
lattice. We willmainly concentrate on the usage of a taxonomy to extract
generalized patterns (i.e., knowledge generated from data when elements of a
given domain ontology are used) in the form of concepts and rules, and improve
navigation through these patterns. To that end, we analyze three generalization
cases and show their impact on the size of the generalized pattern set.
Different scenarios of simultaneous generalizations on both objects and
attributes are also discussed

29
The categories of this paper are: funct-an
24
The categories of this paper are: dg-ga
2
The categories of this paper are: math
9
The categories of this paper are: nlin
32
The categories of this paper are: atom-ph
14
The categories of this paper are: math-ph
31
The categories of this paper are: ao-sci
6
The categories of this paper are: astro-ph
20
The categories of this paper are: acc-phys
5
The categories of this paper are: gr-qc
21
The categories of this paper are: adap-org
27
The categories of this paper are: comp-gas
4
The categories of this paper are: cond-mat
12
The categories of this paper are: nucl-th
37
The categories of this paper are: supr-con
19
The categories of this paper are: eess