
Personal Analytics and Privacy. An Individual and Collective Perspective
First International Workshop, PAP 2017, Held in Conjunction with ECML PKDD 2017, Skopje, Macedonia, September 18, 2017, Revised Selected Papers
Springer (Publisher)
Published on 26. November 2017
Book
Paperback/Softback
XXIV, 159 pages
978-3-319-71969-6 (ISBN)
Description
This book constitutes the thoroughly refereed post-conference proceedings of the First International Workshop on Personal Analytics and Privacy, PAP 2017, held in Skopje, Macedonia, in September 2017.
The 14 papers presented together with 2 invited talks in this volume were carefully reviewed and selected for inclusion in this book and handle topics such as personal analytics, personal data mining and privacy in the context where real individual data are used for developing a data-driven service, for realizing a social study aimed at understanding nowadays society, and for publication purposes.
More details
Series
Edition
1st ed. 2017
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
37 s/w Abbildungen
XXIV, 159 p. 37 illus.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 11 mm
Weight
289 gr
ISBN-13
978-3-319-71969-6 (9783319719696)
DOI
10.1007/978-3-319-71970-2
Schweitzer Classification
Other editions
Additional editions

Riccardo Guidotti | Anna Monreale | Dino Pedreschi
Personal Analytics and Privacy. An Individual and Collective Perspective
First International Workshop, PAP 2017, Held in Conjunction with ECML PKDD 2017, Skopje, Macedonia, September 18, 2017, Revised Selected Papers
E-Book
12/2017
Springer
€53.49
Available for download
Content
Your Privacy, My Privacy? On Leakage Risk Assessment in Online Social Networks.- From Self-Data to Self-Preferences: Towards Preference Elicitation in Personal Information Management Systems.- Assessing Privacy Risk in Retail Data.- Differential Privacy and Neural Networks.- Co-clustering for Differentially Private Synthetic Data Generation.- Evaluating the Impact of Friends in Predicting User's Availability in Online Social Networks.- Movement Behaviour Recognition for Water Activities.- Automatic Recognition of Public Transport Trips from Mobile Device Sensor Data and Transport Infrastructure Information.- Guess the Movie - Linking Facebook Pages to IMDb Movies.- Research on Online Digital Cultures - Community Extraction and Analysis by Markov and k-Means Clustering.- Churn Prediction Using Dynamic RFM-Augmented Node2vec.- Multi-scale Community Detection in Temporal Networks Using Spectral Graph Wavelets.- Influence Maximization-based Event Organization on Social Networks.