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Titlebook: Business Information Systems; 22nd International C Witold Abramowicz,Rafael Corchuelo Conference proceedings 2019 Springer Nature Switzerla

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1865-1348 ata Science; Artificial Intelligence; ICT Project Management; and Smart Infrastructure. . Part II: Social Media and Web-based Systems; and Applications, Evaluations and Experiences. .978-3-030-20481-5978-3-030-20482-2Series ISSN 1865-1348 Series E-ISSN 1865-1356
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C.-L. Hsieh,G. Gauss,M. R. Lieberdia platform in Taiwan (PTT). The performance of the proposed model was evaluated using three keyword extraction procedures. The DSM-5-based procedure with manual filtering resulted in the highest accuracy (0.74).
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Mechanisms in Fibre Carcinogenesislog of a process in parts corresponding to the different (groups of) process workers and analyzing the sequences of events in each part. The two procedures are demonstrated on an example using synthetic data and on a real life event log.
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Keyword-Driven Depressive Tendency Model for Social Media Postsdia platform in Taiwan (PTT). The performance of the proposed model was evaluated using three keyword extraction procedures. The DSM-5-based procedure with manual filtering resulted in the highest accuracy (0.74).
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Trends in CyberTurfing in the Era of Big Dataearch related to CyberTurfing in the era of big data. Our objectives were to identify the important terms in this domain and extract essential knowledge from previous studies. We also sought to gain an overview of the trends in CyberTurfing to provide guidance for subsequent research in this field.
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Exploring Interactions in Social Networks for Influence Discoveryother user’s post, might react to it by liking it and then sharing it forward to her friends. Therefore, a successful estimation of the influence between users requires models to be expressive enough to fully describe various reactions. In this article, we aim to utilize those direct reactive activi
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