ECML PKDD 2018 Workshops : MIDAS 2018 and PAP 2018, Dublin, Ireland, September 10-14, 2018, Proceedings / edited by Carlos Alzate, Anna Monreale, Livio Bioglio, Valerio Bitetta, Ilaria Bordino, Guido Caldarelli, Andrea Ferretti, Riccardo Guidotti, Francesco Gullo, Stefano Pascolutti, Ruggero G. Pensa, Celine Robardet, Tiziano Squartini.

Format:

Book

Contributor:

Alzate, Carlos, Editor.

Monreale, Anna, Editor.

Bioglio, Livio., Editor.

Bitetta, Valerio, Editor.

Bordino, Ilaria., Editor.

Caldarelli, Guido, Editor.

Ferretti, Andrea, Editor.

Guidotti, Riccardo, Editor.

Gullo, Francesco, Editor.

Pascolutti, Stefano., Editor.

Pensa, Ruggero G., Editor.

Robardet, Celine., Editor.

Squartini, Tiziano., Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

Lecture notes in computer science. Lecture notes in artificial intelligence 2945-9141 ; 11054

Lecture Notes in Artificial Intelligence, 2945-9141 ; 11054

Language:

English

Subjects (All):

Artificial intelligence.

Data mining.

Data protection.

Computers and civilization.

Electronic commerce.

Artificial Intelligence.

Data Mining and Knowledge Discovery.

Data and Information Security.

Computers and Society.

e-Commerce and e-Business.

Local Subjects:

Artificial Intelligence.

Data Mining and Knowledge Discovery.

Data and Information Security.

Computers and Society.

e-Commerce and e-Business.

Physical Description:

1 online resource (X, 173 pages) : 70 illustrations, 50 illustrations in color.

Edition:

1st ed. 2019.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2019.

System Details:

text file PDF

Summary:

This book constitutes revised selected papers from two workshops held at the 18th European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2018, in Dublin, Ireland, in September 2018, namely: MIDAS 2018 - Third Workshop on Mining Data for Financial Applications and PAP 2018 - Second International Workshop on Personal Analytics and Privacy. The 12 papers presented in this volume were carefully reviewed and selected from a total of 17 submissions. .

Contents:

A Multivariate and Multi-step ahead Machine Learning Approach to Traditional and Cryptocurrencies Volatility Forecasting

Calibrating the Mean-reversion Parameter in the Hull-White Model Using NeuralNetworks

Deep Factor Model-Explaining Deep Learning Decisions for Forecasting Stock Returns with Layer-wise Relevance Propagation

A Comparison of Neural Network Methods for Accurate Sentiment Analysis of Stock Market Tweets

A Progressive Resampling Algorithm for Finding Very Sparse Investment Portfolios

ICIE 1.0: A Novel Tool for Interactive Contextual Interaction Explanations

Testing for Self-excitation in Financial Events: A Bayesian Approach

A Web Crawling Environment to Support Financial Strategies and Trend Correlation

A differential privacy workflow for inference of parameters in the Rasch model

Privacy Preserving Client/Vertical-Servers Classification

Privacy Risk for Individual Basket Patterns

Exploring Students Eating Habits through Individual Profiling and Clustering Analysis.

Other Format:

Printed edition:

ISBN:

978-3-030-13463-1

9783030134631

Access Restriction:

Restricted for use by site license.