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Applied Data Science

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Cover of 'Applied Data Science'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction to Applied Data Science
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    Chapter 2 Data Science
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    Chapter 3 Data Scientists
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    Chapter 4 Data Products
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    Chapter 5 Legal Aspects of Applied Data Science
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    Chapter 6 Risks and Side Effects of Data Science and Data Technology
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    Chapter 7 Organization
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    Chapter 8 What Is Data Science?
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    Chapter 9 On Developing Data Science
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    Chapter 10 The Ethics of Big Data Applications in the Consumer Sector
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    Chapter 11 Statistical Modelling
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    Chapter 12 Beyond ImageNet: Deep Learning in Industrial Practice
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    Chapter 13 The Beauty of Small Data: An Information Retrieval Perspective
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    Chapter 14 Narrative Visualization of Open Data
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    Chapter 15 Security of Data Science and Data Science for Security
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    Chapter 16 Online Anomaly Detection over Big Data Streams
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    Chapter 17 Unsupervised Learning and Simulation for Complexity Management in Business Operations
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    Chapter 18 Data Warehousing and Exploratory Analysis for Market Monitoring
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    Chapter 19 Mining Person-Centric Datasets for Insight, Prediction, and Public Health Planning
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    Chapter 20 Economic Measures of Forecast Accuracy for Demand Planning: A Case-Based Discussion
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    Chapter 21 Large-Scale Data-Driven Financial Risk Assessment
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    Chapter 22 Governance and IT Architecture
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    Chapter 23 Image Analysis at Scale for Finding the Links Between Structure and Biology
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    Chapter 24 Lessons Learned from Challenging Data Science Case Studies
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14 X users

Citations

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Title
Applied Data Science
Published by
Springer International Publishing, January 2019
DOI 10.1007/978-3-030-11821-1
ISBNs
978-3-03-011820-4, 978-3-03-011821-1
Editors

Martin Braschler, Thilo Stadelmann, Kurt Stockinger

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 122 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 4%
Student > Doctoral Student 4 3%
Student > Bachelor 4 3%
Lecturer 3 2%
Student > Master 3 2%
Other 5 4%
Unknown 98 80%
Readers by discipline Count As %
Engineering 7 6%
Computer Science 5 4%
Business, Management and Accounting 3 2%
Social Sciences 3 2%
Agricultural and Biological Sciences 1 <1%
Other 5 4%
Unknown 98 80%