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Using concept lattices as a theoretical background for finding association rules  has led to designing algorithms like Charm , Close  or Closet . While they are considered as extremely appropriate when finding concepts for association rules, due to the smaller amount of results, they do not cover a certain area of significant results, namely… (More)
In this article we present the Structure of Management Information from SNMP, for all three versions of SNMP, as well as the main differences between them. In the first part, two version of SNMP are presented: version 1, version 2; and in the last part the third version, that uses a security model for information protection, is presented.
There are several approaches in trying to solve the quantitative structure-activity (QSAR) problem. These approaches are based either on statistical methods or on predictive data mining. Among the statistical methods, one should consider regression analysis, pattern recognition (such as cluster analysis, factor analysis and principal components analysis) or… (More)
In this article we are presenting a signal selective amplification method that was used for improving the automatic detection of amphetamines based on their infrared absorptions recorded in the narrow spectral window in which the QCL source of a new portable GC-IRAS spectrometer is emitting (1550-1330 cm<sup>-1</sup>). The expert system developed for class… (More)
The greater than ever amount of data used in predictive data mining calls for new and flexible approaches, based on soft computing methods, with the purpose of recognizing the valuable attributes in datasets. The selection of relevant features is an important part of the preprocessing step in pattern recognition, statistics, knowledge discovery and data… (More)