Titlebook: Discovery Science; 22nd International C Petra Kralj Novak,Tomislav ?muc,Sa?o D?eroski Conference proceedings 2019 Springer Nature Switzerla

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https://doi.org/10.1057/9780230372139Data Streams (AMRules) to model the power consumption. The evaluation aims to investigate the potential of the methods for learning from data streams for the task of predicting satellite power consumption and the influence of the time resolution of the measurements of thermal power consumption on th

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Mining a Maximum Weighted Set of Disjoint Submatrices hybrid column generation approach using constraint programming to generate columns. It is compared to a standard mixed integer linear programming (MILP) through experiments on synthetic datasets. Overall, fast and valuable solutions are found by column generation while the MILP approach cannot hand

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Dataset Morphing to Analyze the Performance of Collaborative Filtering real datasets through the iterative application of gradual transformations (morphing) and by observing the changes in the behavior of learning algorithms while relating these changes with changes in the meta features of the morphed datasets. Although dataset morphing can be envisaged in a much wide

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Construction of Histogram with Variable Bin-Width Based on Change Point Detectionstograms with appropriate variable bin widths than those with an equal bin width constructed by the standard method based on square-root choice or Sturges’ formula, the histograms constructed with the .1 error criterion has more desirable property than those with the .2 error criterion, and our meth

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