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Discovery Science

19th International Conference, DS 2016, Bari, Italy, October 19–21, 2016, Proceedings

  • Conference proceedings
  • © 2016

Overview

Editors:
  1. Toon Calders

    1. Campus Middelhe, M.G.103a, Universiteit Antwerpen Campus Middelhe, M.G.103a, Antwerp, Belgium

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  2. Michelangelo Ceci

    1. Università degli Studi di Bari Aldo Moro, Bari, Italy

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  3. Donato Malerba

    1. Bari, Italy

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9956)

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

Included in the following conference series:

Conference proceedings info: DS 2016.

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Table of contents (30 papers)

  1. Front Matter

    Pages I-XXI
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  2. Pattern Mining and Rules

    1. Front Matter

      Pages 1-1
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    2. Exceptional Preferences Mining

      • Cláudio Rebelo de Sá, Wouter Duivesteijn, Carlos Soares, Arno Knobbe
      Pages 3-18

    3. Local Subgroup Discovery for Eliciting and Understanding New Structure-Odor Relationships

      • Guillaume Bosc, Jérôme Golebiowski, Moustafa Bensafi, Céline Robardet, Marc Plantevit, Jean-François Boulicaut et al.
      Pages 19-34

    4. InterSet: Interactive Redescription Set Exploration

      • Matej Mihelčić, Tomislav Šmuc
      Pages 35-50

    5. Expect the Unexpected – On the Significance of Subgroups

      • Matthijs van Leeuwen, Antti Ukkonen
      Pages 51-66

    6. Min-Hashing for Probabilistic Frequent Subtree Feature Spaces

      • Pascal Welke, Tamás Horváth, Stefan Wrobel
      Pages 67-82

  3. Structured Output Prediction

    1. Front Matter

      Pages 83-83
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    2. STIFE: A Framework for Feature-Based Classification of Sequences of Temporal Intervals

      • Leon Bornemann, Jason Lecerf, Panagiotis Papapetrou
      Pages 85-100

    3. Approximating Numeric Role Fillers via Predictive Clustering Trees for Knowledge Base Enrichment in the Web of Data

      • Giuseppe Rizzo, Claudia d’Amato, Nicola Fanizzi, Floriana Esposito
      Pages 101-117

    4. Option Predictive Clustering Trees for Multi-target Regression

      • Aljaž Osojnik, Sašo Džeroski, Dragi Kocev
      Pages 118-133

    5. HSIM: A Supervised Imputation Method for Hierarchical Classification Scenario

      • Leandro R. Galvão, Luiz H. C. Merschmann
      Pages 134-148

  4. Applications

    1. Front Matter

      Pages 149-149
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    2. Predicting Cargo Train Failures: A Machine Learning Approach for a Lightweight Prototype

      • Sebastian Kauschke, Johannes Fürnkranz, Frederik Janssen
      Pages 151-166

    3. Predicting Bug-Fix Time: Using Standard Versus Topic-Based Text Categorization Techniques

      • Pasquale Ardimento, Massimo Bilancia, Stefano Monopoli
      Pages 167-182

    4. Predicting Wildfires

      • Mariana Oliveira, Luís Torgo, Vítor Santos Costa
      Pages 183-197

    5. Recognizing Family, Genus, and Species of Anuran Using a Hierarchical Classification Approach

      • Juan G. Colonna, João Gama, Eduardo F. Nakamura
      Pages 198-212

    6. Evolution Analysis of Call Ego-Networks

      • Shazia Tabassum, João Gama
      Pages 213-225

  5. Ensemble Learning

    1. Front Matter

      Pages 227-227
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    2. Ensemble Diversity in Evolving Data Streams

      • Dariusz Brzezinski, Jerzy Stefanowski
      Pages 229-244
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Other volumes

  1. Discovery Science

Keywords

About this book

This book constitutes the proceedings of the 17th International Conference on Discovery Science, DS 2016, held in banff, AB, Canada in October 2015. The 30 full papers presented together with 5 abstracts of invited talks in this volume were carefully reviewed and selected from 60 submissions.The conference focuses on following topics: Advances in the development and analysis of methods for discovering scientific knowledge, coming from machine learning, data mining, and intelligent data analysis, as well as their application in various scientific domains.

Editors and Affiliations

  • Campus Middelhe, M.G.103a, Universiteit Antwerpen Campus Middelhe, M.G.103a, Antwerp, Belgium

    Toon Calders

  • Università degli Studi di Bari Aldo Moro, Bari, Italy

    Michelangelo Ceci

  • Bari, Italy

    Donato Malerba

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