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ECML PKDD 2018 Workshops = MIDAS 201...

ECML PKDD (Conference) (2018 :)

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ECML PKDD 2018 Workshops = MIDAS 2018 and PAP 2018, Dublin, Ireland, September 10-14, 2018 : proceedings /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	ECML PKDD 2018 Workshops/ edited by Carlos Alzate ... [et al.].
其他題名:	MIDAS 2018 and PAP 2018, Dublin, Ireland, September 10-14, 2018 : proceedings /
其他題名:	MIDAS 2018
其他作者:	Alzate, Carlos.
團體作者:	ECML PKDD (Conference)
出版者:	Cham :Springer International Publishing : : 2019.,
面頁冊數:	x, 173 p. :ill. (some col.), digital ;24 cm.
內容註:	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.
Contained By:	Springer eBooks
標題:	Machine learning - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-030-13463-1
ISBN:	9783030134631

ECML PKDD 2018 Workshops = MIDAS 2018 and PAP 2018, Dublin, Ireland, September 10-14, 2018 : proceedings /
ECML PKDD 2018 WorkshopsMIDAS 2018 and PAP 2018, Dublin, Ireland, September 10-14, 2018 : proceedings /[electronic resource] :MIDAS 2018edited by Carlos Alzate ... [et al.]. - Cham :Springer International Publishing :2019. - x, 173 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,110540302-9743 ;. - Lecture notes in computer science ;11054..

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.

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.

ISBN: 9783030134631

Standard No.: 10.1007/978-3-030-13463-1doiSubjects--Topical Terms:

576368
Machine learning
--Congresses.

LC Class. No.: Q325.5

Dewey Class. No.: 006.31

ECML PKDD 2018 Workshops = MIDAS 2018 and PAP 2018, Dublin, Ireland, September 10-14, 2018 : proceedings /
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