ISMIS2018

Session 1A : Graph Mining

Session Chair: Yiannis Manopoulos

• 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