Titlebook: Advances in Data Mining. Applications and Theoretical Aspects; 17th Industrial Conf Petra Perner Conference proceedings 2017 Springer Inter

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J. Schrader,G. Baumann,E. Gerlachreely awareness the natural scenes, such as the visual scenes. Inspired by biological visual cortex (V1) and higher brain areas perceiving visual features, in this paper we propose an improved visual awareness module, called as visual scenes mining module, for the agent ABGP-CNN in order to directly

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E. Carlsson,A. Hedberg,H. Mattssonerns the prediction of which activities will be carried out next at a given moment during process execution. The outcomes of this task may allow to save time and money by taking suitable actions that facilitate the execution of those activities, may support more fundamental and critical tasks involv

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E. Carlsson,A. Hedberg,H. Mattssonon techniques have been used to determine cause of death from free text forensic autopsy reports using proposed term-based and SNOMED CT concept-based features. In this study, detailed term-based features and concept-based features were extracted from a set of 1500 forensic autopsy reports belonging

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Categorial and Categorical Grammars, CF-based models usually suffer from the sparsity of rating matrices which would degrade model’s recommendation performance. To address this sparsity problem, auxiliary information such as labels are utilized. Another approach of recommendation system is content-based model which can’t be directly i