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Discovery Science

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

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Petra Kralj Novak

    1. Jožef Stefan Institute, Ljubljana, Slovenia

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    You can also search for this editor in PubMed   Google Scholar

  2. Tomislav Šmuc

    1. Rudjer Bošković Institute, Zagreb, Croatia

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    You can also search for this editor in PubMed   Google Scholar

  3. Sašo Džeroski

    1. Jožef Stefan Institute, Ljubljana, Slovenia

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11828)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: DS 2019.

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Table of contents (40 papers)

  1. Front Matter

    Pages i-xxii
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  2. Advanced Machine Learning

    1. Front Matter

      Pages 1-1
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    2. The CURE for Class Imbalance

      • Colin Bellinger, Paula Branco, Luis Torgo
      Pages 3-17

    3. Mining a Maximum Weighted Set of Disjoint Submatrices

      • Vincent Branders, Guillaume Derval, Pierre Schaus, Pierre Dupont
      Pages 18-28

    4. Dataset Morphing to Analyze the Performance of Collaborative Filtering

      • André Correia, Carlos Soares, Alípio Jorge
      Pages 29-39

    5. Construction of Histogram with Variable Bin-Width Based on Change Point Detection

      • Takayasu Fushimi, Kiyoto Iwasaki, Seiya Okubo, Kazumi Saito
      Pages 40-50

    6. A Unified Approach to Biclustering Based on Formal Concept Analysis and Interval Pattern Structure

      • Nyoman Juniarta, Miguel Couceiro, Amedeo Napoli
      Pages 51-60

    7. A Sampling-Based Approach for Discovering Subspace Clusters

      • Sandy Moens, Boris Cule, Bart Goethals
      Pages 61-71

    8. Epistemic Uncertainty Sampling

      • Vu-Linh Nguyen, Sébastien Destercke, Eyke Hüllermeier
      Pages 72-86

    9. Utilizing Hierarchies in Tree-Based Online Structured Output Prediction

      • Aljaž Osojnik, Panče Panov, Sašo Džeroski
      Pages 87-95

    10. On the Trade-Off Between Consistency and Coverage in Multi-label Rule Learning Heuristics

      • Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz
      Pages 96-111

    11. Hyperparameter Importance for Image Classification by Residual Neural Networks

      • Abhinav Sharma, Jan N. van Rijn, Frank Hutter, Andreas Müller
      Pages 112-126

  3. Applications

    1. Front Matter

      Pages 127-127
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    2. Cellular Traffic Prediction and Classification: A Comparative Evaluation of LSTM and ARIMA

      • Amin Azari, Panagiotis Papapetrou, Stojan Denic, Gunnar Peters
      Pages 129-144

    3. Main Factors Driving the Open Rate of Email Marketing Campaigns

      • Andreia Conceição, João Gama
      Pages 145-154

    4. 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

    5. Deep Learning Does Not Generalize Well to Recognizing Cats and Dogs in Chinese Paintings

      • Qianqian Gu, Ross King
      Pages 166-175

    6. Temporal Analysis of Adverse Weather Conditions Affecting Wheat Production in Finland

      • Vladimir Kuzmanovski, Mika Sulkava, Taru Palosuo, Jaakko Hollmén
      Pages 176-185

    7. 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

  4. Data and Knowledge Representation

    1. Front Matter

      Pages 203-203
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Other volumes

  1. Discovery Science

Keywords

About this book

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.

Editors and Affiliations

  • Jožef Stefan Institute, Ljubljana, Slovenia

    Petra Kralj Novak, Sašo Džeroski

  • Rudjer Bošković Institute, Zagreb, Croatia

    Tomislav Šmuc

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