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Data Science – Analytics and Applications

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Cover of 'Data Science – Analytics and Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Exploring Insider Trading Within Hypernetworks
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    Chapter 2 Chance influence in datasets with a large number of features
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    Chapter 3 Combining Lexical and Semantic Similarity Methods for News Article Matching
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    Chapter 4 The Effectiveness of the Max Entropy Classifier for Feature Selection
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    Chapter 5 Impact of Anonymization on Sentiment Analysis of Twitter Postings
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    Chapter 6 A Data-Driven Approach for Detecting Autism Spectrum Disorders
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    Chapter 7 Optimal Regression Tree Models through Mixed Integer Programming *
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    Chapter 8 A Spatial Data Analysis Approach for Public Policy Simulation in Thermal Energy Transition Scenarios
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    Chapter 9 A Probabilistic Approach to Web Waterfall Charts
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    Chapter 10 Facilitating Public Access to Legal Information
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    Chapter 11 Do we have a Data Culture?
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    Chapter 12 Neural Machine Translation from Natural Language into SQL with state-of-the-art Deep Learning methods
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    Chapter 13 Smart recommendation system to simplify projecting for an HMI/SCADA platform
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    Chapter 14 Adversarial Networks — A Technology for Image Augmentation
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    Chapter 15 Using supervised learning to predict the reliability of a welding process
Attention for Chapter 15: Using supervised learning to predict the reliability of a welding process
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Chapter title
Using supervised learning to predict the reliability of a welding process
Chapter number 15
Book title
Data Science – Analytics and Applications
DOI 10.1007/978-3-658-27495-5_15
Book ISBNs
978-3-65-827494-8, 978-3-65-827495-5
Authors

Zumtobel, Melanie, Plankensteiner, Kathrin

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