Technical Program
The selection of the revised papers published as Springer volume is available at the link
https://link.springer.com/book/10.1007/978-3-319-61461-8
9:00-9:05 Opening
9:05-10:00 Invited Talk:
On Model, Patterns, and Prediction - Jaakko Hollmén
here you can find the Jaakko's slides
10:00-10:40 Session I: Feature Selection and Induction
11:00-12:40 Session II: Classification and Prediction
12:40-14:20 Lunch
14:20-15:00 Session III: Sequences and Time-Series
15:00-16:00 Session IV: Clustering
16:00-16:20 Coffee Break
16:20-17:00 Session V: Rule Mining
17:00-18:00 Session VI: Pattern Discovery
9:05-10:00 Invited Talk:
On Model, Patterns, and Prediction - Jaakko Hollmén
here you can find the Jaakko's slides
10:00-10:40 Session I: Feature Selection and Induction
10:00-10:20 Features Selection via Eigenvector Centrality (Giorgio Roffo and Simone Melzi)
10:20-10:40 Feature Induction on Extremely Randomized Tree Paths (Konstantinos Pliakos and Celine Vens)
10:40-11:00 Coffee Break10:20-10:40 Feature Induction on Extremely Randomized Tree Paths (Konstantinos Pliakos and Celine Vens)
11:00-12:40 Session II: Classification and Prediction
11:00-11:20 Speed Change Classification for Engines in Vehicles (Elzbieta Kubera, Alicja Wieczorkowska, Tomasz Slowik, Andrzej Kuranc and Krzysztof Skrzypiec)
11:20-11:40 Bayesian Confirmation Measures in Rule-based Classification (Dariusz Brzezinski, Zbigniew Grudziński and Izabela Szczęch)
11:40-12:00 Increasing the Interpretability of Rules Induced from Imbalanced Data by Using Bayesian Confirmation Measures (Jerzy Stefanowski, Krystyna Napierala and Izabela Szczech)
12:00-12:20 A statistical approach to speaker identification in forensic phonetics field (Fabio Leuzzi, Giovanni Tessitore, Stefano Delfino, Claudio Fusco, Massimo Gneo, Gianpaolo Zambonini and Stefano Ferilli)
12:20-12:40 Analyzing Time-decay Effects of Mediating-objects in Creating Trust-links (Hiroki Takahashi and Masahiro Kimura)
11:20-11:40 Bayesian Confirmation Measures in Rule-based Classification (Dariusz Brzezinski, Zbigniew Grudziński and Izabela Szczęch)
11:40-12:00 Increasing the Interpretability of Rules Induced from Imbalanced Data by Using Bayesian Confirmation Measures (Jerzy Stefanowski, Krystyna Napierala and Izabela Szczech)
12:00-12:20 A statistical approach to speaker identification in forensic phonetics field (Fabio Leuzzi, Giovanni Tessitore, Stefano Delfino, Claudio Fusco, Massimo Gneo, Gianpaolo Zambonini and Stefano Ferilli)
12:20-12:40 Analyzing Time-decay Effects of Mediating-objects in Creating Trust-links (Hiroki Takahashi and Masahiro Kimura)
12:40-14:20 Lunch
14:20-15:00 Session III: Sequences and Time-Series
14:20-14:40 HypGraphs: An Approach for Modeling and Comparing Graph-Based and Sequential Hypotheses (Martin Atzmueller, Andreas Schmidt, Benjamin Kloepper and David Arnu)
14:40-15:00 Towards Multi-view Approach to Parkinson's Disease Quality of Life Data Analysis (Anita Valmarska, Dragana Miljkovic, Nada Lavrač and Marko Robnik-Šikonja)
14:40-15:00 Towards Multi-view Approach to Parkinson's Disease Quality of Life Data Analysis (Anita Valmarska, Dragana Miljkovic, Nada Lavrač and Marko Robnik-Šikonja)
15:00-16:00 Session IV: Clustering
15:00-15:20 Feature clustering for extreme events analysis, with application to extreme stream-flow data (Maël Chiapino and Anne Sabourin)
15:20-15:40 Human Behavior Discovery via Multidimensional Latent Factor Modeling (Massimo Guarascio, Francesco Sergio Pisani, Ettore Ritacco and Pietro Sabatino)
15:40-16:00 Predicting the primary medical procedure through personalization (Mamoun Almardini, Ayman Hajja, Zbigniew Ras, Lina Clover and David Olaleye)
15:20-15:40 Human Behavior Discovery via Multidimensional Latent Factor Modeling (Massimo Guarascio, Francesco Sergio Pisani, Ettore Ritacco and Pietro Sabatino)
15:40-16:00 Predicting the primary medical procedure through personalization (Mamoun Almardini, Ayman Hajja, Zbigniew Ras, Lina Clover and David Olaleye)
16:00-16:20 Coffee Break
16:20-17:00 Session V: Rule Mining
16:20-16:40 Randomized Quantitative Association Rule Mining (Bart Goethals, Emmanuel Mueller and Thomas Van Brussel)
16:40-17:00 Mining Chess Playing as a Complex Process (Stefano Ferilli, Domenico Redavid and Sergio Angelastro)
16:40-17:00 Mining Chess Playing as a Complex Process (Stefano Ferilli, Domenico Redavid and Sergio Angelastro)
17:00-18:00 Session VI: Pattern Discovery
17:00-17:20 Subgraph Mining for Anomalous Pattern Discovery in Event Logs (Laura Genga, Domenico Potena, Orazio Martino, Mahdi Alizadeh, Claudia Diamantini and Nicola Zannone)
17:20-17:40 Mining Keystroke Timing Pattern for User Authentication (Saket Maheshwary, Vikram Pudi)
17:40-18:00 Mining Spatio-Temporal Patterns of Periodic Changes in Climate Data (Corrado Loglisci, Michelangelo Ceci, Angelo Impedovo and Donato Malerba)
17:20-17:40 Mining Keystroke Timing Pattern for User Authentication (Saket Maheshwary, Vikram Pudi)
17:40-18:00 Mining Spatio-Temporal Patterns of Periodic Changes in Climate Data (Corrado Loglisci, Michelangelo Ceci, Angelo Impedovo and Donato Malerba)
