, if properly extracted, may be suitable for searching, classification, or statistical analysis. For this reason, in order … work presents a Machine Learning Multi-Label approach for the classification of the information extracted from the …

In this paper, we develop a decision-theoretic frameworkfor evaluating data mining systems, which employ classification …

web data in Albania and to construct a classification model using data mining techniques and methods. These techniques … online portals and reports from the state authorities. The constructed classification model is expected to be utilised to …

industry. Three DM-techniques were selected: Dependency Modeling, Change and Deviation Detection, and Classification. Of these … three techniques, two were found to be of complementary value in a PPM-context, Dependency modeling and Classification …

mining and machine learning communities. It is usually tackled by using classification algorithms in order to learn the … different patterns of both the churners and non-churners. Nevertheless, current state-of-the-art classification algorithms are …-sensitive classification algorithms and measure their effectiveness based on their predictive power and also the cost optimization. The results …