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ORCIDApplied Data Science, 2019
- Martin Braschler, Thilo Stadelmann
, Kurt Stockinger:
Applied Data Science - Lessons Learned for the Data-Driven Business. Springer 2019, ISBN 978-3-030-11820-4
Foundations
- Thilo Stadelmann, Martin Braschler, Kurt Stockinger:
Introduction to Applied Data Science. 3-16 - Martin Braschler, Thilo Stadelmann, Kurt Stockinger:
Data Science. 17-29 - Thilo Stadelmann, Kurt Stockinger, Gundula Heinatz Bürki, Martin Braschler:
Data Scientists. 31-45 - Jürg Meierhofer, Thilo Stadelmann, Mark Cieliebak:
Data Products. 47-61 - Michael Widmer, Stefan Hegy:
Legal Aspects of Applied Data Science. 63-78 - Clemens H. Cap:
Risks and Side Effects of Data Science and Data Technology. 79-95
Use Cases
- Martin Braschler, Thilo Stadelmann, Kurt Stockinger:
Organization. 99-100 - Michael L. Brodie:
What Is Data Science? 101-130 - Michael L. Brodie:
On Developing Data Science. 131-160 - Markus Christen, Helene Blumer, Christian Hauser, Markus Huppenbauer:
The Ethics of Big Data Applications in the Consumer Sector. 161-180 - Marcel Dettling, Andreas Ruckstuhl:
Statistical Modelling. 181-203 - Thilo Stadelmann, Vasily Tolkachev, Beate Sick, Jan Stampfli, Oliver Dürr:
Beyond ImageNet: Deep Learning in Industrial Practice. 205-232 - Martin Braschler:
The Beauty of Small Data: An Information Retrieval Perspective. 233-250 - Philipp Ackermann, Kurt Stockinger:
Narrative Visualization of Open Data. 251-264 - Bernhard Tellenbach, Marc Rennhard, Remo Schweizer:
Security of Data Science and Data Science for Security. 265-288 - Laura Rettig, Mourad Khayati, Philippe Cudré-Mauroux, Michal Piórkowski:
Online Anomaly Detection over Big Data Streams. 289-312 - Lukas Hollenstein, Lukas Lichtensteiger, Thilo Stadelmann, Mohammadreza Amirian, Lukas Budde, Jürg Meierhofer, Rudolf M. Füchslin, Thomas Friedli:
Unsupervised Learning and Simulation for Complexity Management in Business Operations. 313-331 - Melanie Geiger, Kurt Stockinger:
Data Warehousing and Exploratory Analysis for Market Monitoring. 333-351 - Jonathan P. Leidig, Greg Wolffe:
Mining Person-Centric Datasets for Insight, Prediction, and Public Health Planning. 353-369 - Thomas Ott, Stefan Glüge, Richard Bödi, Peter Kauf:
Economic Measures of Forecast Accuracy for Demand Planning: A Case-Based Discussion. 371-386 - Wolfgang Breymann, Nils Bundi, Jonas Heitz, Johannes Micheler, Kurt Stockinger:
Large-Scale Data-Driven Financial Risk Assessment. 387-408 - Serge Bignens, Murat Sariyar, Ernst Hafen:
Governance and IT Architecture. 409-423 - Kevin Mader:
Image Analysis at Scale for Finding the Links Between Structure and Biology. 425-443
Lessons Learned and Outlook
- Kurt Stockinger, Martin Braschler, Thilo Stadelmann:
Lessons Learned from Challenging Data Science Case Studies. 447-465
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