Titlebook: On the Move to Meaningful Internet Systems: OTM 2019 Conferences; Confederated Interna Hervé Panetto,Christophe Debruyne,Robert Meersman Co

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A Case Study Lens on Process Mining in Practicer we review these published process mining case studies to assess the maturity of the field from a practice point of view by considering (i) diffusion of tools and techniques into practice, and (ii) the thoroughness of the application of process mining methodologies. Diffusion is assessed by analysi

venous-leak

Initializing k-Means Efficiently: Benefits for Exploratory Cluster Analysisespecially evident for cluster analyses, where the number of clusters must be provided prior to the execution of the clustering algorithm. Since this number is rarely known in advance, the algorithm is typically executed several times with varying parameters. Hence, the duration of the exploratory a

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Exploiting EuroVoc’s Hierarchical Structure for Classifying Legal Documents exhibit a strongly varying number of labels per document, and a power-law distribution of those class labels. Multi-label classification of legal documents is additionally complicated by long document texts and domain-specific use of language. In this paper we use different approaches to compare th

藕床生厭倦

Chameleon

Model-Aware Clustering of Non-conforming Tracesng and focusing on each alike is probably not the most efficient approach in most applications. Our novel approach identifies groups of action sequences, called traces, with similar deviation characteristics. In contrast to trace clustering, we utilize a process model as a baseline, showing model aw

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Bank Branch Network Optimization Based on Customers Geospatial Profilesoverall expected level of dissatisfaction of bank customers with the location of remaining branches. This problem is considered as a black-box optimization problem. We propose a new algorithm for determining dissatisfaction of customers, based on their geospatial profiles. Namely, the following geos

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Using Maps for Interlinking Geospatial Linked Dataanually, semi-automatically, and automatically. While quite a few tools exist to facilitate this process in a (semi-)automatic manner, often with support for geospatial data. It is not uncommon that interlinks need to be created manually, e.g., when interlinks need to be authoritative. In this study

SPER

A Conceptual Modelling Approach to Visualising Linked Datan or analysis task over a dataset. Users may therefore find it difficult to identify visualisations that meet their data exploration or analyses needs. We propose an approach that creates conceptual models of groups of commonly used data visualisations, which can be used to analyse the data and user

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