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ECML PKDD 2018 Workshops

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Cover of 'ECML PKDD 2018 Workshops'

Table of Contents

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    Book Overview
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    Chapter 1 A Multivariate and Multi-step Ahead Machine Learning Approach to Traditional and Cryptocurrencies Volatility Forecasting
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    Chapter 2 Calibrating the Mean-Reversion Parameter in the Hull-White Model Using Neural Networks
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    Chapter 3 Deep Factor Model
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    Chapter 4 A Comparison of Neural Network Methods for Accurate Sentiment Analysis of Stock Market Tweets
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    Chapter 5 A Progressive Resampling Algorithm for Finding Very Sparse Investment Portfolios
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    Chapter 6 ICIE 1.0: A Novel Tool for Interactive Contextual Interaction Explanations
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    Chapter 7 Testing for Self-excitation in Financial Events: A Bayesian Approach
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    Chapter 8 A Web Crawling Environment to Support Financial Strategies and Trend Correlation
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    Chapter 9 A Differential Privacy Workflow for Inference of Parameters in the Rasch Model
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    Chapter 10 Privacy Preserving Client/Vertical-Servers Classification
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    Chapter 11 Privacy Risk for Individual Basket Patterns
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    Chapter 12 Exploring Students Eating Habits Through Individual Profiling and Clustering Analysis
Attention for Chapter 2: Calibrating the Mean-Reversion Parameter in the Hull-White Model Using Neural Networks
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