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Titlebook: Intelligent Data Engineering and Automated Learning – IDEAL 2018; 19th International C Hujun Yin,David Camacho,Antonio J. Tallón-Balleste C

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Ontology Uses for Radicalisation Detection on Social Networkscan be detected at the early stages of the radicalization process. In this paper, we explore the use of the semantic web and domain ontologies to automatically mine the radicalisation indicators from messages and posts on social networks.
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Causal Rules Detection in Streams of Unlabeled, Mixed Type Values with Finit Domainsern approaches either use representation that is flat in time domain, or follow black-box model paradigm. This reduces the expressiveness of models and limits the intelligibility of the system. In this paper we present an algorithm for rule discovery that allows to capture temporal causalities between numeric and symbolic attributes.
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