Discovery Science: 22nd International Conference, DS 2019, Split, Croatia, October 28–30, 2019, Proceedings

Description

This book constitutes the proceedings of the 22nd International Conference on Discovery Science, DS 2019, held in Split, Coratia, in October 2019. The 21 full and 19 short papers presented together with 3 abstracts of invited talks in this volume were carefully reviewed and selected from 63 submissions. The scope of the conference includes the development and analysis of methods for discovering scientific knowledge, coming from machine learning, data mining, intelligent data analysis, big data analysis as well as their application in various scientific domains. The papers are organized in the following topical sections: Advanced Machine Learning; Applications; Data and Knowledge Representation; Feature Importance; Interpretable Machine Learning; Networks; Pattern Discovery; and Time Series. Front Matter ....Pages i-xxii Front Matter ....Pages 1-1 The CURE for Class Imbalance (Colin Bellinger, Paula Branco, Luis Torgo)....Pages 3-17 Mining a Maximum Weighted Set of Disjoint Submatrices (Vincent Branders, Guillaume Derval, Pierre Schaus, Pierre Dupont)....Pages 18-28 Dataset Morphing to Analyze the Performance of Collaborative Filtering (André Correia, Carlos Soares, Alípio Jorge)....Pages 29-39 Construction of Histogram with Variable Bin-Width Based on Change Point Detection (Takayasu Fushimi, Kiyoto Iwasaki, Seiya Okubo, Kazumi Saito)....Pages 40-50 A Unified Approach to Biclustering Based on Formal Concept Analysis and Interval Pattern Structure (Nyoman Juniarta, Miguel Couceiro, Amedeo Napoli)....Pages 51-60 A Sampling-Based Approach for Discovering Subspace Clusters (Sandy Moens, Boris Cule, Bart Goethals)....Pages 61-71 Epistemic Uncertainty Sampling (Vu-Linh Nguyen, Sébastien Destercke, Eyke Hüllermeier)....Pages 72-86 Utilizing Hierarchies in Tree-Based Online Structured Output Prediction (Aljaž Osojnik, Panče Panov, Sašo Džeroski)....Pages 87-95 On the Trade-Off Between Consistency and Coverage in Multi-label Rule Learning Heuristics (Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz)....Pages 96-111 Hyperparameter Importance for Image Classification by Residual Neural Networks (Abhinav Sharma, Jan N. van Rijn, Frank Hutter, Andreas Müller)....Pages 112-126 Front Matter ....Pages 127-127 Cellular Traffic Prediction and Classification: A Comparative Evaluation of LSTM and ARIMA (Amin Azari, Panagiotis Papapetrou, Stojan Denic, Gunnar Peters)....Pages 129-144 Main Factors Driving the Open Rate of Email Marketing Campaigns (Andreia Conceição, João Gama)....Pages 145-154 Enhancing BMI-Based Student Clustering by Considering Fitness as Key Attribute (Erik Dovgan, Bojan Leskošek, Gregor Jurak, Gregor Starc, Maroje Sorić, Mitja Luštrek)....Pages 155-165 Deep Learning Does Not Generalize Well to Recognizing Cats and Dogs in Chinese Paintings (Qianqian Gu, Ross King)....Pages 166-175 Temporal Analysis of Adverse Weather Conditions Affecting Wheat Production in Finland (Vladimir Kuzmanovski, Mika Sulkava, Taru Palosuo, Jaakko Hollmén)....Pages 176-185 Predicting Thermal Power Consumption of the Mars Express Satellite with Data Stream Mining (Bozhidar Stevanoski, Dragi Kocev, Aljaž Osojnik, Ivica Dimitrovski, Sašo Džeroski)....Pages 186-201 Front Matter ....Pages 203-203 Parameter-Less Tensor Co-clustering (Elena Battaglia, Ruggero G. Pensa)....Pages 205-219 Deep Triplet-Driven Semi-supervised Embedding Clustering (Dino Ienco, Ruggero G. Pensa)....Pages 220-234 Neurodegenerative Disease Data Ontology (Ana Kostovska, Ilin Tolovski, Fatima Maikore, the Alzheimer’s Disease Neuroimaging Initiative, Larisa Soldatova, Panče Panov)....Pages 235-245 Embedding to Reference t-SNE Space Addresses Batch Effects in Single-Cell Classification (Pavlin G. Poličar, Martin Stražar, Blaž Zupan)....Pages 246-260 Symbolic Graph Embedding Using Frequent Pattern Mining (Blaž Škrlj, Nada Lavrač, Jan Kralj)....Pages 261-275 Front Matter ....Pages 277-277 Feature Selection for Analogy-Based Learning to Rank (Mohsen Ahmadi Fahandar, Eyke Hüllermeier)....Pages 279-289 Ensemble-Based Feature Ranking for Semi-supervised Classification (Matej Petković, Sašo Džeroski, Dragi Kocev)....Pages 290-305 Variance-Based Feature Importance in Neural Networks (Cláudio Rebelo de Sá)....Pages 306-315 Front Matter ....Pages 317-317 A Density Estimation Approach for Detecting and Explaining Exceptional Values in Categorical Data (Fabrizio Angiulli, Fabio Fassetti, Luigi Palopoli, Cristina Serrao)....Pages 319-334 A Framework for Human-Centered Exploration of Complex Event Log Graphs (Martin Atzmueller, Stefan Bloemheuvel, Benjamin Kloepper)....Pages 335-350 Sparse Robust Regression for Explaining Classifiers (Anton Björklund, Andreas Henelius, Emilia Oikarinen, Kimmo Kallonen, Kai Puolamäki)....Pages 351-366 Efficient Discovery of Expressive Multi-label Rules Using Relaxed Pruning (Yannik Klein, Michael Rapp, Eneldo Loza Mencía)....Pages 367-382 Front Matter ....Pages 383-383 Evolving Social Networks Analysis via Tensor Decompositions: From Global Event Detection Towards Local Pattern Discovery and Specification (Sofia Fernandes, Hadi Fanaee-T, João Gama)....Pages 385-395 Efficient and Accurate Non-exhaustive Pattern-Based Change Detection in Dynamic Networks (Angelo Impedovo, Michelangelo Ceci, Toon Calders)....Pages 396-411 A Combinatorial Multi-Armed Bandit Based Method for Dynamic Consensus Community Detection in Temporal Networks (Domenico Mandaglio, Andrea Tagarelli)....Pages 412-427 Resampling-Based Framework for Unbiased Estimator of Node Centrality over Large Complex Network (Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda)....Pages 428-442 Front Matter ....Pages 443-443 Layered Learning for Early Anomaly Detection: Predicting Critical Health Episodes (Vitor Cerqueira, Luis Torgo, Carlos Soares)....Pages 445-459 Ensemble Clustering for Novelty Detection in Data Streams (Kemilly Dearo Garcia, Elaine Ribeiro de Faria, Cláudio Rebelo de Sá, João Mendes-Moreira, Charu C. Aggarwal, André C. P. L. F. de Carvalho et al.)....Pages 460-470 Mining Patterns in Source Code Using Tree Mining Algorithms (Hoang Son Pham, Siegfried Nijssen, Kim Mens, Dario Di Nucci, Tim Molderez, Coen De Roover et al.)....Pages 471-480 KnowBots: Discovering Relevant Patterns in Chatbot Dialogues (Adriano Rivolli, Catarina Amaral, Luís Guardão, Cláudio Rebelo de Sá, Carlos Soares)....Pages 481-492 Fast Distance-Based Anomaly Detection in Images Using an Inception-Like Autoencoder (Natasa Sarafijanovic-Djukic, Jesse Davis)....Pages 493-508 Front Matter ....Pages 509-509 Adaptive Long-Term Ensemble Learning from Multiple High-Dimensional Time-Series (Samaneh Khoshrou, Mykola Pechenizkiy)....Pages 511-521 Fourier-Based Parametrization of Convolutional Neural Networks for Robust Time Series Forecasting (Sascha Krstanovic, Heiko Paulheim)....Pages 522-532 Integrating LSTMs with Online Density Estimation for the Probabilistic Forecast of Energy Consumption (Julian Vexler, Stefan Kramer)....Pages 533-543 Back Matter ....Pages 545-546