German Abstracts.- Full Papers Double Blind Reviewed.- Data Analytics | Complexity.- Data Analytics | NLP and Semantics.- Data Analytics | Modelling.- Data Analytics | Comprehensibility.- Short Papers
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 onTheoretical 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
Peter Haber is a Professorof Information and Communication Technology, in particular for analog and digital signal processing, and responsible coordinator for system theory and electrical engineering at Salzburg University of Applied Sciences. He is a researcher and project manager, leading and coordinating national and international projects in the field of IT and IT management, while also integrating data science solutions at businesses. Since 2009 he has been a member of the international advisory board for the IATED conferences.
Thomas Lampoltshammer is an Assistant Professorfor ICT and Deputy Head of the Centre for E-Governanceat the Department of E-Governance and Administration, Danube University Krems, Austria. His current research focus is on the domain of data governance, the effects of ICT application in a connected society, and the effects on a data-driven society. He has a substantial background in the design and implementation of expert anddecision-making systems, data analytics, and semantic-based reasoning.
Manfred Mayr is the Academic Program Directorfor Business Informatics and Digital Transformationas well department head for IT Management at Salzburg University of Applied Sciences. He is a lecturer at international conferences and the author of various publications in the field of IT management and business informatics. In addition, he has coordinated several national and international research projects.
The editors are the conference chairs of the International Data Science Conference.
Schlagwörter zu:
Data Science – Analytics and Applications von Peter Haber - mit der ISBN: 9783658274955
Cloudera; Data Analytics; Data Science; Data Science Analytics; Data Science Applications; Data Science Conference; Data mining; FutureTDM; Human Machine Interface; Industrial Application Scenarios; Industry Track; Legal Landscape; Research Track; Salzburg University of Applied Sciences; Supervisory Control and Data Acquisition (SCADA); TensorFlow; artificial intelligence; data visualization; machine learning; text and data mining; C; Computer and Information Systems Applications; Data Analysis , Online-Buchhandlung
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