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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RiskTrack: Assessing the Risk of Jihadi Radicalization on Twitter Using Linguistic Factorsisk of Jihadi radicalization of an individual (or a group of people). To determine the risk of radicalization of an individual, it uses information extracted from its Twitter account. Specifically, the tool uses a combination of linguistic factors to establish a risk value, in order to help the anal

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Automated, Nomenclature Based Data Point Selection for Industrial Event Log GenerationPLCs to an upper system. Not only does this require programmers’ efforts to collect and provide the data, but it is also prone to errors or even intentional manipulation. External monitoring, is available through Open Platform Communication (OPC), but it is time consuming to set up and requires expe

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Monitoring Equipment Operation Through Model and Event Discoverying productivity requires autonomous methods that work without extensive human supervision. One way to automatically detect deviating operation is to identify groups of peers, or similar systems, and evaluate how well each individual conforms with the group..We propose a monitoring approach that can

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Creation of an Event Log from a Low-Level Machinery Monitoring System for Process Mining Purposes.e. process mining). Such a structure should contain three main elements for process analysis, namely: timestamp of activity, activity name and case id..In this paper we present example data from a low-level machinery monitoring system used in underground mine, which can be used for the modelling an

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A Taxonomy for Combining Activity Recognition and Process Discovery in Industrial Environments importance. Retaining this knowledge by formally capturing it is a challenge for industrial organisations. This paper explores research on automatically capturing this knowledge by using methods from activity recognition and process mining on data obtained from sensorised workers and environments.

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