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Machine Learning and Knowledge Discovery in Databases

European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part III

  • Conference proceedings
  • © 2016

Overview

Editors:
  1. Bettina Berendt

    1. Department of Computer Science, KU Leuven, Leuven, Belgium

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  2. Björn Bringmann

    1. Deloitte GmbH, München, Germany

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  3. Élisa Fromont

    1. Laboratoire Hubert Curien, Jean Monnet University, Saint-Etienne, France

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  4. Gemma Garriga

    1. Allianz SE, Munich, Germany

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  5. Pauli Miettinen

    1. Max-Planck-Institute for Informatics, Saarbrücken, Germany

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  6. Nikolaj Tatti

    1. Aalto University School of Science, Espoo, Finland

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  7. Volker Tresp

    1. Siemens AG & Lud. Max. Univ. of Munich, Munich, Germany

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9853)

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

Included in the following conference series:

Conference proceedings info: ECML PKDD 2016.

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Table of contents (39 papers)

  1. Front Matter

    Pages I-XXII
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  2. Demo Track Contributions

    1. Front Matter

      Pages 1-1
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    2. A Tool for Subjective and Interactive Visual Data Exploration

      • Bo Kang, Kai Puolamäki, Jefrey Lijffijt, Tijl De Bie
      Pages 3-7

    3. GMMbuilder – User-Driven Discovery of Clustering Structure for Bioarchaeology

      • Markus Mauder, Yulia Bobkova, Eirini Ntoutsi
      Pages 8-11

    4. Bipeline: A Web-Based Visualization Tool for Biclustering of Multivariate Time Series

      • Ricardo Cachucho, Kaihua Liu, Siegfried Nijssen, Arno Knobbe
      Pages 12-16

    5. h(odor): Interactive Discovery of Hypotheses on the Structure-Odor Relationship in Neuroscience

      • Guillaume Bosc, Marc Plantevit, Jean-François Boulicaut, Moustafa Bensafi, Mehdi Kaytoue
      Pages 17-21

    6. INSIGHT: Dynamic Traffic Management Using Heterogeneous Urban Data

      • Nikolaos Panagiotou, Nikolas Zygouras, Ioannis Katakis, Dimitrios Gunopulos, Nikos Zacheilas, Ioannis Boutsis et al.
      Pages 22-26

    7. Coordinate Transformations for Characterization and Cluster Analysis of Spatial Configurations in Football

      • Gennady Andrienko, Natalia Andrienko, Guido Budziak, Tatiana von Landesberger, Hendrik Weber
      Pages 27-31

    8. Leveraging Spatial Abstraction in Traffic Analysis and Forecasting with Visual Analytics

      • Natalia Andrienko, Gennady Andrienko, Salvatore Rinzivillo
      Pages 32-35

    9. The SPMF Open-Source Data Mining Library Version 2

      • Philippe Fournier-Viger, Jerry Chun-Wei Lin, Antonio Gomariz, Ted Gueniche, Azadeh Soltani, Zhihong Deng et al.
      Pages 36-40

    10. DANCer: Dynamic Attributed Network with Community Structure Generator

      • Oualid Benyahia, Christine Largeron, Baptiste Jeudy, Osmar R. Zaïane
      Pages 41-44

    11. Topy: Real-Time Story Tracking via Social Tags

      • Gevorg Poghosyan, M. Atif Qureshi, Georgiana Ifrim
      Pages 45-49

    12. Ranking Researchers Through Collaboration Pattern Analysis

      • Mario Cataldi, Luigi Di Caro, Claudio Schifanella
      Pages 50-54

    13. Learning Language Models from Images with ReGLL

      • Leonor Becerra-Bonache, Hendrik Blockeel, Maria Galván, François Jacquenet
      Pages 55-58

    14. Exploratory Analysis of Text Collections Through Visualization and Hybrid Biclustering

      • Nicolas Médoc, Mohammad Ghoniem, Mohamed Nadif
      Pages 59-62

    15. SITS-P2miner: Pattern-Based Mining of Satellite Image Time Series

      • Tuan Nguyen, Nicolas Méger, Christophe Rigotti, Catherine Pothier, Rémi Andreoli
      Pages 63-66

    16. Finding Incident-Related Social Media Messages for Emergency Awareness

      • Alexander Nieuwenhuijse, Jorn Bakker, Mykola Pechenizkiy
      Pages 67-70

    17. TwitterCracy: Exploratory Monitoring of Twitter Streams for the 2016 U.S. Presidential Election Cycle

      • M. Atif Qureshi, Arjumand Younus, Derek Greene
      Pages 71-75

  3. Industrial Track Contributions

    1. Front Matter

      Pages 77-77
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    2. Using Social Media to Promote STEM Education: Matching College Students with Role Models

      • Ling He, Lee Murphy, Jiebo Luo
      Pages 79-95
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Other volumes

  1. Machine Learning and Knowledge Discovery in Databases

  2. Machine Learning and Knowledge Discovery in Databases

  3. Machine Learning and Knowledge Discovery in Databases

Keywords

About this book

The three volume set LNAI 9851, LNAI 9852, and LNAI 9853 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2016, held in Riva del Garda, Italy, in September 2016. The 123 full papers and 16 short papers presented  were carefully reviewed and selected from a total of 460 submissions. The papers presented focus on practical and real-world studies of machine learning, knowledge discovery, data mining; innovative prototype implementations or mature systems that use machine learning techniques and knowledge discovery processes in a real setting; recent advances at the frontier of machine learning and data mining with other disciplines. Part I and Part II of the proceedings contain the full papers of the contributions presented in the scientific track and abstracts of the scientific plenary talks. Part III contains the full papers of the contributions presented in the industrial track, short papers describing demonstration, the nectar papers, and the abstracts of the industrial plenary talks.

Editors and Affiliations

  • Department of Computer Science, KU Leuven, Leuven, Belgium

    Bettina Berendt

  • Deloitte GmbH, München, Germany

    Björn Bringmann

  • Laboratoire Hubert Curien, Jean Monnet University, Saint-Etienne, France

    Élisa Fromont

  • Allianz SE, Munich, Germany

    Gemma Garriga

  • Max-Planck-Institute for Informatics, Saarbrücken, Germany

    Pauli Miettinen

  • Aalto University School of Science, Espoo, Finland

    Nikolaj Tatti

  • Siemens AG & Lud. Max. Univ. of Munich, Munich, Germany

    Volker Tresp

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