Mining patterns in large databases is a challenging task facing NP-hard problems. Research focused attention on the most occurrent patterns, although less frequent patterns still offer interesting insights. In this paper we propose a new algorithm for discovering infrequent patterns and compare it to other solutions.
In choosing a color palette, it is necessary to take into account the needs of color vision impaired users, in order to make information and services accessible to a broader audience. This means researching a space of color palettes aimed at finding a color combination which represents a good trade-off between aesthetics and accessibility requirements. In this paper, we present a solution based on genetic algorithms. Experimental results highlight this approach to be an efficient and at the same time effective way to assist user interface designers by suggesting appropriate variations of color palettes.
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