Most of the data mining methods in real-world intelligent systems are attribute-based
machine learning methods such as neural networks, nearest neighbors and decision trees …

Previous chapters demonstrated the ways of visual discovery of patterns using different
General Line Coordinates. This chapter demonstrates the hybrid visual and analytical way to …

Dealing with different misclassification costs has been a big problem for classification. Some
algorithms can predict quite accurately when assuming the misclassification costs for each …

Данная монография посвящена результатам исследований, которые проводились в
институте математики СО РАН последние 35 лет начиная с организации в 1971 г …

The complexity of the consistency problem for several important classes of Boolean
functions is analyzed. The classes of functions under investigation are those which are …

The unique human expertise in imagery analysis should be preserved and shared with other
imagery analysts to improve image analysis and decision-making. Such knowledge can …

Integration of knowledge management (KM) and Data Mining (DM) methods can benefit
many applications. It permits to combine and mutually verify knowledge obtained from …

The modeling field theory (MFT) has been developed for modeling complex systems
including the most challenging one that is the modeling of mind. It has been successful in …

We find asymptotic formulae for the number of monotone Boolean functions of variables with
a most probable number of terms in the minimal disjunctive normal form. It is proven that the …