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Applied data science : lessons learned for the data driven business / Martin Braschler, Thilo Stadelmann, Kurt Stockinger, editors.

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"This book has two main goals: to define data science through the work of data scientists and their results, namely data products, while simultaneously providing the reader with relevant lessons learned from applied data science projects at the intersection of academia and industry. As such, it...

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Bibliographic Details
Online Access: Full Text (via Springer)
Other Authors: Braschler, Martin (Editor), Stadelmann, Thilo (Editor), Stockinger, Kurt (Editor)
Format: eBook
Language:English
Published: Basel : Springer Nature Switzerland AG, [2019]
Subjects:
Big data.
Electronic data processing.
Table of Contents:
  • Foundations
  • Introduction to Applied Data Science / Thilo Stadelmann, Martin Braschler, Kurt Stockinger
  • Data Science / Martin Braschler, Thilo Stadelmann, Kurt Stockinger
  • Data Scientists / Thilo Stadelmann, Kurt Stockinger, Gundula Heinatz Bürki, Martin Braschler
  • Data Products / Jürg Meierhofer, Thilo Stadelmann, Mark Cieliebak
  • Legal Aspects of Applied Data Science / Michael Widmer, Stefan Hegy
  • Risks and Side Effects of Data Science and Data Technology / Clemens H. Cap
  • Use Cases
  • Organization / Martin Braschler, Thilo Stadelmann, Kurt Stockinger
  • What Is Data Science?
  • Michael L. Brodie
  • On Developing Data Science / Michael L. Brodie
  • The Ethics of Big Data Applications in the Consumer Sector / Markus Christen, Helene Blumer, Christian Hauser, Markus Huppenbauer
  • Statistical Modelling / Marcel Dettling, Andreas Ruckstuhl
  • Beyond ImageNet: Deep Learning in Industrial Practice / Thilo Stadelmann, Vasily Tolkachev, Beate Sick, Jan Stampfli, Oliver Dürr
  • The Beauty of Small Data: An Information Retrieval Perspective / Martin Braschler
  • Narrative Visualization of Open Data / Philipp Ackermann, Kurt Stockinger
  • Security of Data Science and Data Science for Security / Bernhard Tellenbach, Marc Rennhard, Remo Schweizer
  • Online Anomaly Detection over Big Data Streams / Laura Rettig, Mourad Khayati, Philippe Cudré-Mauroux, Michał Piorkówski
  • Unsupervised Learning and Simulation for Complexity Management in Business Operations / Lukas Hollenstein, Lukas Lichtensteiger, Thilo Stadelmann, Mohammadreza Amirian, Lukas Budde, Jürg Meierhofer et al.
  • Data Warehousing and Exploratory Analysis for Market Monitoring / Melanie Geiger, Kurt Stockinger
  • Mining Person-Centric Datasets for Insight, Prediction, and Public Health Planning / Jonathan P. Leidig, Greg Wolffe
  • Economic Measures of Forecast Accuracy for Demand Planning: A Case-Based Discussion / Thomas Ott, Stefan Glüge, Richard Bödi, Peter Kauf
  • Large-Scale Data-Driven Financial Risk Assessment / Wolfgang Breymann, Nils Bundi, Jonas Heitz, Johannes Micheler, Kurt Stockinger
  • Governance and IT Architecture / Serge Bignens, Murat Sariyar, Ernst Hafen
  • Image Analysis at Scale for Finding the Links Between Structure and Biology / Kevin Mader
  • Lessons Learned and Outlook
  • Lessons Learned from Challenging Data Science Case Studies / Kurt Stockinger, Martin Braschler, Thilo Stadelmann.

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