Titlebook: Machine Learning and Data Mining in Pattern Recognition; 12th International C Petra Perner Conference proceedings 2016 Springer Internation

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Evolving a Low Price Recovery Strategy for Distressed Securities,oit broad market trends, we choose a very specific strategy on the assumption that it will be easier to learn, require less input data to do so, and more straightforward to evaluate the agents performance. In this case, we select a Low Price Recovery Strategy (LPRS), which involves picking stocks th

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A Spectral Clustering Based Outlier Detection Technique,minal activities in electronic commerce and so on. Many techniques have been developed for outlier detection, including distribution-based outlier detection algorithm, depth-based outlier detection algorithm, distance-based outlier detection algorithm, density-based outlier detection algorithm and c

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A Closed Frequent Subgraph Mining Algorithm in Unique Edge Label Graphs, mining closed frequent connected subgraphs is a problem that requires an exponential time. In this paper, we present ., an algorithm for finding closed frequent unique edge label subgraphs. . uses a search space pruning and applies the strong accessibility property that allows to ignore not interes

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