| Room: Panorama | Room: Megaron Beta | Room: Megaron Gamma | ||
|---|---|---|---|---|
| 8:50 – 9:00 | ISMIS 2018 Opening & DS Opening Room: Panorama George A. Papadopoulos, Michelangelo Ceci, Nathalie Japkowicz, Jiming Liu, Larisa Soldatova, Joaquin Vanschoren |
|||
| 9:00 – 10:00 | ISMIS INVITED TALK Bridging the Gap between Data Diversity and Data Dependencies Jean-Marc Petit Room: Panorama Chair: Zbigniew Ras |
|||
| 10:00 – 10:30 | Best student Paper ISMIS Exploiting Order Information Embedded in Ordered Categories for Ordinal Data Clustering (Yiqun Zhang and Yiu-Ming Cheung) Room: Panorama |
|||
| 10:30 – 11:00 | Coffee Break | |||
| 11:00 – 12:40 | Session 1A: Graph Mining | Session1B: Intelligent Methodologies for Traffic Data Analysis and Mining (SS) | Session 1: Classification | |
| 12:40 – 14:00 | Lunch | |||
| 14:00 – 15:00 | ISMIS INVITED TALK Mining Big and Complex Data Sašo Džeroski Room: Panorama Chair: Nathalie Japkowicz |
|||
| 15:00 – 16:00 | Session 2A: Advanced Methods in Machine Learning for Modeling Complex Data (SS) | Session 2B: Intelligent Methodologies for Traffic Data Analysis and Mining (SS) | Session 2: Mixed session: Rule learning; Reinforcement Learning; Text mining | |
| 16:00 – 16:30 | Coffee Break | |||
| 16:30 – 18:30 | Session 3A: Advanced Methods in Machine Learning for Modeling Complex Data (SS) | Session 3B: Graph Mining and Social Data | Session 3: Text mining | |
| 19:00- 20:00 | Welcome reception | |||
ISMIS2018
Session 1A : Graph Mining
Session Chair: Yiannis Manolopoulos
- Solving the Maximal Clique Problem on Compressed Graphs
Jocelyn Bernard and Hamida Seba - Clones in Graphs
Stephan Doerfel, Tom Hanika and Gerd Stumme - Knowledge-Based Mining of Exceptional Patterns in Logistics Data: Approaches and Experiences in an Industry 4.0 Context
Eric Sternberg and Martin Atzmueller
Session 1B : Intelligent Methodologies for Traffic Data Analysis and Mining (SS)
Session Chair: Fulvio Rotella
- An Approach for the Police Districting Problem using Artificial Intelligence
Jose Manuel Rodriguez Jimenez - Unsupervised LSTMs-based Learning for Anomaly Detection in Highway Traffic Data
Nicola Di Mauro and Stefano Ferilli - A Big Data framework for analysis of traffic data in Italian highways
Claudia Diamantini, Domenico Potena and Emanuele Storti
Session 2A : Advanced Methods in Machine Learning for Modeling Complex Data (SS)
Session Chair: Tiantian He
- Sparse Multi-Label Bilinear Embedding on Stiefel Manifolds
Yang Liu, Guohua Dong and Zhonglei Gu - Learning Latent Factors in Linked Multi-Modality Data
Tiantian He and Keith C.C. Chan
Session 2B : Intelligent Methodologies for Traffic Data Analysis and Mining (SS)
Session Chair: Alicja Wieczorkowska
- Unsupervised vehicle recognition using incremental reseeding of acoustic signatures
Justin Sunu, Allon G. Percus and Blake Hunter - Traffic Data Classification for Police Activity
Stefano Guarino, Fabio Leuzzi, Flavio Lombardi and Enrico Mastrostefano
Session 3A : Advanced Methods in Machine Learning for Modeling Complex Data (SS)
Session Chair: Yang Liu
- Researcher Name Disambiguation:Feature Learning and Affinity Propagation Clustering
Zhizhi Yu and Bo Yang - Hierarchical Clustering of High-Dimensional Data without Global Dimensionality Reduction
Ilari Kampman and Tapio Elomaa - User-emotion detection through sentence-based classification using Deep Learning: a case-study with Microblogs in Albanian.
Marjana Prifti Skenduli, Marenglen Biba, Corrado Loglisci and Donato Malerba - A Novel Personalized Citation Recommendation Approach based on GAN
Ye Zhang, Libin Yang, Xiaoyan Cai and Hang Dai
Session 3B : Graph Mining and Social Data
Session Chair: Martin Atzmueller
- Critical Link Identification based on Bridge Detection for Network with Uncertain Connectivity
Kazumi Saito, Kouzou Ohara, Masahiro Kimura and Hiroshi Motoda - Market-aware Proactive Skill Posting
Ashiqur Khudabukhsh, Jong Woo Hong and Jaime Carbonell - Evidential Multi-relational Link Prediction Based on Social Content
Sabrine Mallek, Imen Boukhris, Zied Elouedi and Eric Lefevre
DS2018
Session 1 : Classification
Session Chair: Eyke Huellermeier
- Addressing Local Class Imbalance in Balanced Datasets with Dynamic Impurity Decision Trees
Andriy Mulyar and Bartosz Krawczyk - Barricaded Boundary Minority Oversampling LS-SVM for a Biased Binary Classification
Hmayag Partamian, Yara Rizk and Mariette Awad - Dynamic Classifier Chain with Random Decision Trees
Moritz Kulessa and Eneldo Loza Mencia - Feature Ranking with Relief for Multi-label classification: Does distance matter?
Matej Petković, Dragi Kocev and Sašo Džeroski - Leveraging Reproduction-Error Representations for Multi-Instance Classification
Sebastian Kauschke, Max Mühlhäuser and Johannes Fürnkranz
Session 2 : Mixed session: Rule learning; Reinforcement Learning; Text mining
Session Chair: Mariette Awad
- Finding Probabilistic Rule Lists using the Minimum Description Length Principle
John Aoga, Tias Guns, Siegfried Nijssen and Pierre Schaus - Preference-based Reinforcement Learning using Dyad Ranking
Dirk Schäfer and Eyke Huellermeier - Filtering Documents for Plagiarism Detection
Kensuke Baba
Session 3 : Text mining
Session Chair:Kensuke Baba
- k-NN Embedding Stability for word2vec Hyper-parametrisation in Scientific Text
Amna Dridi, Mohamed Medhat Gaber, R. Muhammad Atif Azad and Jagdev Bhogal - WS4ABSA: an NMF-based Weakly-Supervised Approach for Aspect-Based Sentiment Analysis with Application to Online Reviews
Alberto Purpura, Chiara Masiero and Gian Antonio Susto - Author Tree-structured Hierarchical Dirichlet Process
Md. Hijbul Alam, Jaakko Peltonen, Jyrki Nummenmaa and Kal Järvelin - Most Important First – Keyphrase Scoring for Improved Ranking in Settings With Limited Keyphrases
Nils Witt, Tobias Milz and Christin Seifert - Hierarchical Expert Profiling using Heterogeneous Information Networks
Jorge Silva, Pedro Ribeiro and Fernando Silva
| Room: Panorama | Room: Megaron Beta | Room: Megaron Gamma | ||
|---|---|---|---|---|
| 9:00 – 10:00 | INVITED: ISMIS/DS Artificial Intelligence and the Industrial Knowledge Graph Michael May Room: Panorama Chair: Michelangelo Ceci |
|||
| 10:00 – 10:30 | Best Paper ISMIS An Efficient Algorithm for Network Vulnerability Analysis under Malicious Attacks (Toni Mancini, Federico Mari, Igor Melatti, Ivano Salvo and Enrico Tronci) Room: Panorama |
|||
| 10:30 – 11:00 | Coffee Break | |||
| 11:00 – 12:30 | Session 4A: Bioinformatics and Health Informatics | Session 4B: Granular and Soft Clustering for Data Science (SS) | Session 4: AutoML and Meta-learning | |
| 12:30 – 14:00 | Lunch | |||
| 14:00 – 15:00 | DS tutorial: Emojis, Sentiment and Stance in Social Media, Petra Kralj Novak Room: Panorama Chair: Larisa Soldatova |
|||
| 15:00 – 16:00 | Session 5A:Image Analysis | Session 5B: Granular and Soft Clustering for Data Science (SS) | Session 5: Subgroup and subgraph discovery | |
| 16:00 – 16:30 | Coffee Break | |||
| 16:30 – 18:30 | Session 6A: Spatio-Temporal Data Analysis | Session 6B: Topic Modelling and Opinion Mining | Session 6: Applications | |
| 18:30-19:00 | DS Community Meeting
Room : Panorama |
|||
| 19:00 | GALA DINNER | |||
ISMIS2018
Session 4A : Bioinformatics and Health Informatics
Session Chair: Andrzej Przybyszewski
- Fully automatic classification of flow cytometry data
Bartosz P. Piotrowski and Miron B. Kursa - Positive Unlabeled Link Prediction via Transfer Learning for Gene Network Reconstruction
Paolo Mignone and Gianvito Pio - Rough Sets: Visually Discerning Neurological Functionality During Thought Processes
Rory Lewis, Chad A. Mello, Yanyan Zhuang, Martin K. -C. Yeh, Dan Gopstein and Yu Yan
Session 4B : Granular and Soft Clustering for Data Science (SS)
Session Chair: George A. Papadopulos
- An Adaptive Three-way Clustering Algorithm for Mixed-type Data
Jing Xiong and Hong Yu - Three-way Spectral Clustering
Hong Shi, Qiang Liu and Pingxin Wang - The Granular Structures in Formal Concept Analysis
Ruisi Ren and Ling Wei
Session 5A : Image Analysis
Session Chair: Nathalie Japkowicz
- Deep Neural Networks for Face Recognition: Pairwise Optimisation
Elitsa Popova, Athanasios Athanasopoulos, Efraim Ie, Nikolaos Christou and Ndifreke Nyah - A Comparative Study on Soft Biometric Approaches to be Used in Retail Stores
Berardina Nadja De Carolis, Nicola Macchiarulo and Giuseppe Palestra
Session 5B : Granular and Soft Clustering for Data Science (SS)
Session Chair: Herna Viktor
- From Knowledge Discovery to Customer Attrition
Katarzyna Tarnowska and Zbigniew Ras - Initial Analysis of Multivariate Factors for Prediction of Shark Presence and Attacks on the Coast of North Carolina
Sonal Kaulkar, Lavanya Vinodh and Pamela Thompson
Session 6A: Spatio-Temporal Data Analysis
Session Chair: Hiroshi Motoda
- Predicting Temporal Activation Patterns via Recurrent Neural Networks
Giuseppe Manco, Giuseppe Pirrò and Ettore Ritacco - Handling Multi-Scale Data via Multi-Target Learning for Wind Speed Forecasting
Annalisa Appice, Antonietta Lanza and Donato Malerba - Luca Anselma, Alessandro Mazzei, Luca Piovesan and Paolo Terenziani
Temporal Reasoning with Layered Preferences
Session 6B: Topic Modelling and Opinion Mining
Session Chair: Stefano Ferilli
- An Experimental Evaluation of Algorithms for Opinion Mining in Multi-Domain Corpus in Albanian
Nelda Kote, Marenglen Biba and Evis Trandafili - Predicting Author’s Native Language Using Abstracts of Scholarly Papers
Takahiro Baba, Kensuke Baba and Daisuke Ikeda - Identifying Exceptional Descriptions of People using Topic Modeling and Subgroup Discovery
Andrew Hendrickson, Jason Wang and Martin Atzmueller
DS2018
Session 4: AutoML and Meta-learning
Session Chair: Anita Valmarska
- MetaUtil: Meta Learning for Utility Maximization in Regression
Paula Branco, Luis Torgo and Rita P. Ribeiro - Predicting Rice Phenotypes with Meta-Learning
Oghenejokpeme Orhobor, Nickolai Alexandrov and Ross King - CF4CF-META: Hybrid Collaborative Filtering Algorithm Selection Framework
Tiago Cunha, Carlos Soares and Andre de Carvalho - Class Balanced Similarity-Based Instance Transfer Learning for Botnet Family Classification
Basil Alothman, Helge Janicke and Suleiman Yerima
Session 5: Subgroup and subgraph discovery
Session Chair: Mihalis Nicolaou
- Extending redescription mining to multiple views
Matej Mihelčić, Saso Dzeroski and Tomislav Smuc - Compositional Subgroup Discovery on Attributed Social Interaction Networks
Martin Atzmueller - Exceptional attributed subgraph mining to understand the olfactory percept
Maëlle Moranges, Marc Plantevit, Arnaud Fournel, Moustafa Bensafi and Celine Robardet
Session 6: Applications
Session Chair: Bruno Veloso
- Sky Writer: Towards an Intelligent Smart-phone Gesture Tracing and Recognition Framework
Nicolas Mitri and Mariette Awad
- Identifying control parameters in cheese fabrication process using precedence constraints
Melanie Munch, Pierre-Henri Wuillemin, Juliette Dibie-Barthélemy, Cristina Manfredotti, Thomas Allard, Solange Buchin and Elisabeth Guichard - Less is More: Univariate Modelling to Detect Early Parkinson’s Disease from Keystroke Dynamics
Antony Milne, Katayoun Farrahi and Mihalis Nicolaou - Visualization and analysis of Parkinson’s disease status and therapy patterns
Anita Valmarska, Dragana Miljkovic, Marko Marko Robnik-Šikonja and Nada Lavrač - Finding Topic-specific Trends and Influential Users in Social Networks
Eleni Koutrouli, Christos Daskalakis and Aphrodite Tsalgatidou
| Room: Panorama | Room: Megaron Beta | Room: Megaron Gamma | |
|---|---|---|---|
| 9:00 – 10:00 | INVITED: DS Automating Predictive Modeling and Knowledge Discovery, Ioannis Tsamardinos Room: Panorama Chair: Joaquin Vanschoren |
||
| 10:00 – 10:30 | Best Paper DS (Carl H. Smith Award Talk)
Room : Panorama COBRAS-TS: A new approach to Semi-Supervised Clustering of Time Series |
||
| 10:30 – 11:00 | Coffee Break | ||
| 11:00 – 12:40 | Session 7A: Intelligent Systems | Session 7B: Applications | Session 7: Streams and Time series |
| 12:40 – 13:00 | Closing | ||
| 13:00 – 14:00 | Lunch | ||
ISMIS2018
Session 7A : Intelligent Systems
Session Chair: Donato Malerba
- SCUT-DS: Learning from Multi-class Imbalanced Canadian Weather Data
Olubukola Olaitan and Herna Viktor - Multipurpose Web-Platform for Labeling Audio Segments Efficiently and Effectively
Ayman Hajja, Griffin Hiers, Pierre Arbajian, Zbigniew Ras and Alicja Wieczorkowska - A Description Logic of Typicality for Conceptual Combination
Antonio Lieto and Gian Luca Pozzato - An Intra-algorithm Comparison Study of Complete Search FSM Implementations in Centralized Graph Transaction Databases
Rihab Ayed, Mohand-Said Hacid, Rafiqul Haque and Abderrazak Jemai
Session 7B : Applications
Session Chair: Michelangelo Ceci
- Mobile Application with Image Recognition for Persons with Aphasia
Jan Gonera, Krzysztof Szklanny, Marcin Wichrowski and Alicja Wieczorkowska - Early Detection of Heart Symptoms with Convolutional Neural Network and Scattering Wavelet Transformation
Mariusz Kleć - Low Resources Intelligent System for the 2D Biomechanical Analysis of Road Cyclists
Camilo Salguero Marín, Sandra Mosquera, Andrés Felipe Barco Santa and Elise Vareilles - Fuzzy RST and RST rules can predict effects of different therapies in Parkinson’s disease patients
Andrzej W. Przybyszewski
DS2018
Session 7 : Streams and Time series
Session Chair: Jaakko Peltonen
- Self Hyper-parameter Tuning for Data Streams
Bruno Veloso, João Gama and Benedita Malheiro (presenter: João Vinagre) - Selection of Relevant and Non-Redundant Multivariate Ordinal Patterns for Time Series Classification
Arvind Kumar Shekar, Marcus Pappik, Emmanuel Mueller and Patricia Iglesias Sanchez - Exploiting the Web for Semantic Change Detection
Pierpaolo Basile and Barbara McGillivray - Online boosting for incremental recommender systems
João Vinagre, Alipio M. Jorge and Joao Gama