Graph pattern matching is a key problem in many applications which data is represented in
the form of a graph, and this problem is generally defined as a subgraph isomorphism. In …

The paper presents aspects regarding genetic algorithms, their use in data mining and
especially about their use in the discovery of classification rules. A synthetic presentation of …

Genetic algorithm (GA) is a part of evolutionary computing that simulates the theory of
evolution and natural selection, where this technique depends on a heuristic random …

In this article, we propose a new fitness function that can be used in real-value binary
classification problems. The fitness function takes into account the iteration step, controlling …

Data-Mining (DM) has become one of the most valuable tools for extracting and
manipulating data and for establishing patterns in order to produce useful information for …

Data-mining (DM) has become irreplaceable mechanism for the extarction and manipulation
of data and for establishment of patterns for generating useful information. The data mining …

Data mining has become a powerful tool to extract hidden patterns of data and is gaining
importance as it helps in decision making in all spheres of life. Its various techniques allows …

Intrusion detection system (IDS) is used as a security monitoring and controlling operation in
computer networking. An Intrusion detection system works on the trained definition and …

Graph pattern matching is a key problem in many applications which data is represented in
the form of a graph, and this problem is generally defined as a subgraph isomorphism. In …

In the article the actual problem of increasing the efficiency of solving the pattern recognition
problem is considered. It is described a promising approach to solve this problem by the use …