Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11054)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Included in the following conference series:
- MIDAS: Workshop on Mining Data for Financial Applications
- PAP: International Workshop on Personal Analytics and Privacy
Conference proceedings info: MIDAS 2018, PAP 2018.
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Table of contents (12 papers)
-
MIDAS 2018: The 3rd Workshop on MIning DAta for Financial ApplicationS
-
PAP 2018: The 2nd International Workshop on Personal Analytics and Privacy
Other volumes
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ECML PKDD 2018 Workshops
Keywords
About this book
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.
Editors and Affiliations
Bibliographic Information
Book Title: ECML PKDD 2018 Workshops
Book Subtitle: MIDAS 2018 and PAP 2018, Dublin, Ireland, September 10-14, 2018, Proceedings
Editors: 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
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-13463-1
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Softcover ISBN: 978-3-030-13462-4Published: 07 February 2019
eBook ISBN: 978-3-030-13463-1Published: 06 February 2019
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: X, 173
Number of Illustrations: 20 b/w illustrations, 50 illustrations in colour
Topics: Artificial Intelligence, Data Mining and Knowledge Discovery, Systems and Data Security, Computers and Society, e-Commerce/e-business