The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The use of general descriptive names, registered names, trademarks, service marks, etc. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. © Springer Nature Switzerland AG 2019 This work is subject to copyright. of Applied Information Technology ZHAW Zurich University of Applied Sciences Winterthur, Switzerland Thilo Stadelmann Kurt Stockinger EditorsĪpplied Data Science Lessons Learned for the Data-Driven BusinessĮditors Martin Braschler Inst.Lessons Learned from Challenging Data Science Case Studies (Kurt Stockinger, Martin Braschler, Thilo Stadelmann).Pages 447-465 Citation preview Image Analysis at Scale for Finding the Links Between Structure and Biology (Kevin Mader).Pages 425-443 Governance and IT Architecture (Serge Bignens, Murat Sariyar, Ernst Hafen).Pages 409-423 Large-Scale Data-Driven Financial Risk Assessment (Wolfgang Breymann, Nils Bundi, Jonas Heitz, Johannes Micheler, Kurt Stockinger).Pages 387-408 Leidig, Greg Wolffe).Pages 353-369Įconomic Measures of Forecast Accuracy for Demand Planning: A Case-Based Discussion (Thomas Ott, Stefan Glüge, Richard Bödi, Peter Kauf).Pages 371-386 Mining Person-Centric Datasets for Insight, Prediction, and Public Health Planning (Jonathan P. Unsupervised Learning and Simulation for Complexity Management in Business Operations (Lukas Hollenstein, Lukas Lichtensteiger, Thilo Stadelmann, Mohammadreza Amirian, Lukas Budde, Jürg Meierhofer et al.).Pages 313-331ĭata Warehousing and Exploratory Analysis for Market Monitoring (Melanie Geiger, Kurt Stockinger).Pages 333-351 Online Anomaly Detection over Big Data Streams (Laura Rettig, Mourad Khayati, Philippe Cudré-Mauroux, Michał Piorkówski).Pages 289-312 Security of Data Science and Data Science for Security (Bernhard Tellenbach, Marc Rennhard, Remo Schweizer).Pages 265-288 Narrative Visualization of Open Data (Philipp Ackermann, Kurt Stockinger).Pages 251-264 The Beauty of Small Data: An Information Retrieval Perspective (Martin Braschler).Pages 233-250 Statistical Modelling (Marcel Dettling, Andreas Ruckstuhl).Pages 181-203īeyond ImageNet: Deep Learning in Industrial Practice (Thilo Stadelmann, Vasily Tolkachev, Beate Sick, Jan Stampfli, Oliver Dürr).Pages 205-232 The Ethics of Big Data Applications in the Consumer Sector (Markus Christen, Helene Blumer, Christian Hauser, Markus Huppenbauer).Pages 161-180 Organization (Martin Braschler, Thilo Stadelmann, Kurt Stockinger).Pages 99-100 Risks and Side Effects of Data Science and Data Technology (Clemens H. Legal Aspects of Applied Data Science (Michael Widmer, Stefan Hegy).Pages 63-78 Introduction to Applied Data Science (Thilo Stadelmann, Martin Braschler, Kurt Stockinger).Pages 3-16ĭata Science (Martin Braschler, Thilo Stadelmann, Kurt Stockinger).Pages 17-29ĭata Scientists (Thilo Stadelmann, Kurt Stockinger, Gundula Heinatz Bürki, Martin Braschler).Pages 31-45ĭata Products (Jürg Meierhofer, Thilo Stadelmann, Mark Cieliebak).Pages 47-61
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