Peter Haber

Mikael Persbrandt

Stina Eklbald

Harald Hamrell

Karin Holmberg

Komissar Beck: Der Mann ohne Gesicht

Thomas Lampoltshammer

Manfred Mayr

This book offers the proceedings of the Second International Data Science Conference (iDSC2019), organized by Salzburg University of Applied Sciences, Austria. The Conference brought together researchers, scientists, and business experts to discuss new ways of embracing agile approaches to various facets of data science, including machine learning and artificial intelligence, data mining, data visualization, and communication. The papers gathered here include case studies of applied techniques, and theoretical papers that push the field into the future. The full-length scientific-track papers on Data Analytics are broadly grouped by category, including Complexity; NLP and Semantics; Modelling; and Comprehensibility. Included among real-world applications of data science are papers on Exploring insider trading using hypernetworks Data-driven approach to detection of autism spectrum disorder Anonymization and sentiment analysis of Twitter posts Theoretical papers in the book cover such topics as Optimal Regression Tree Models Through Mixed Integer Programming; Chance Influence in Datasets with Large Number of Features; Adversarial Networks — A Technology for Image Augmentation; and Optimal Regression Tree Models Through Mixed Integer Programming. Five shorter student-track papers are also published here, on topics such as State-of-the-art Deep Learning Methods to effect Neural Machine Translation from Natural Language into SQL A Smart Recommendation System to Simplify Projecting for a HMI/SCADA Platform Use of Adversarial Networks as a Technology for Image Augmentation Using Supervised Learning to Predict the Reliability of a Welding Process The work collected in this volume of proceedings will provide researchers and practitioners with a detailed snapshot of current progress in the field of data science. Moreover, it will stimulate new study, research, and the development of new applications.

Proceedings of the 2nd International Data Science Conference – iDSC2019

Data Science – Analytics and Applications

Eva Pfanzelter

For the first time in the German language historical disciplines, a book has been subject to open peer review as it was developed. All contributions were discussed online with comments. The ‘history blogosphere’ has thereby engaged in understanding an especially timely topic – namely, the medium of the blog itself.

Bloggen in den Geschichtswissenschaften

Historyblogosphere

Digitale Ressourcen, multimediale Methoden und das Werkzeug Computer bestimmen scheinbar selbstverstandlich die tagliche Arbeit des Historikers, der Historikerin. Peter Haber geht der Frage nach, wie die Digitalisierung der Welt die Wissenschaft von der Vergangenheit verandert. Wie wird Geschichte im 21. Jahrhundert geschrieben? Wie wird unser Wissen neu geordnet? Welche Macht hat Google? Eines ist offensichtlich: die Medienrevolutionen des Web und des Web 2.0 wirken massiv auf das Fach Geschichte und auf die Geschichtswissenschaft ein. Haber macht die Veranderungen der letzten Jahrzehnte greifbar und wagt einen Blick auf neue Perspektiven fur die Wissenschaft von der Vergangenheit. "Pflichtlekture fur alle, die sich fur Vergangenheit, Gegenwart und Zukunft der digitalen Geschichtswissenschaft interessieren." Mills Kelly, Assoziierter Direktor des Center for History and New Media an der George Mason University"

Geschichtswissenschaft im digitalen Zeitalter

Digital Past

Peter Haber

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