Machine Learning and Knowledge Discovery in Databases

European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18–22, 2017, Proceedings, Part III

  • Yasemin Altun
  • Kamalika Das
  • Taneli Mielikäinen
  • Donato Malerba
  • Jerzy Stefanowski
  • Jesse Read
  • Marinka Žitnik
  • Michelangelo Ceci
  • Sašo Džeroski

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10536)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 10536)

Table of contents

  1. Front Matter
    Pages I-XXXV
  2. Applied Data Science Track

    1. Front Matter
      Pages 1-1
    2. Rui Chen, Jiajun Liu
      Pages 3-14
    3. Christina Papagiannopoulou, Stijn Decubber, Diego G. Miralles, Matthias Demuzere, Niko E. C. Verhoest, Willem Waegeman
      Pages 15-26
    4. Cansu Sen, Thomas Hartvigsen, Elke Rundensteiner, Kajal Claypool
      Pages 52-63
    5. You-Luen Lee, Da-Cheng Juan, Xuan-An Tseng, Yu-Ting Chen, Shih-Chieh Chang
      Pages 64-76
    6. Sara Melvin, Wenchao Yu, Peng Ju, Sean Young, Wei Wang
      Pages 89-101
    7. C. H. Bryan Liu, Benjamin Paul Chamberlain, Duncan A. Little, Ângelo Cardoso
      Pages 102-113
    8. Wouter Duivesteijn, Tara Farzami, Thijs Putman, Evertjan Peer, Hilde J. P. Weerts, Jasper N. Adegeest et al.
      Pages 114-126
    9. Bjarke Felbo, Pål Sundsøy, Alex ‘Sandy’ Pentland, Sune Lehmann, Yves-Alexandre de Montjoye
      Pages 140-152
    10. Arijit Biswas, Mukul Bhutani, Subhajit Sanyal
      Pages 153-165
    11. Dieter Hendricks, Stephen J. Roberts
      Pages 166-178
    12. Joseph Bockhorst, Shi Yu, Luisa Polania, Glenn Fung
      Pages 179-190
    13. Benjamin Paul Chamberlain, Clive Humby, Marc Peter Deisenroth
      Pages 191-203
    14. Jianing Zhao, Daniel M. Runfola, Peter Kemper
      Pages 204-215
    15. Tathagata Mukherjee, Michael Duckett, Piyush Kumar, Jared Devin Paquet, Daniel Rodriguez, Mallory Haulcomb et al.
      Pages 216-227

Other volumes

  1. European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18–22, 2017, Proceedings, Part I
  2. European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18–22, 2017, Proceedings, Part II
  3. Machine Learning and Knowledge Discovery in Databases
    European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18–22, 2017, Proceedings, Part III

About these proceedings

Introduction

The three volume proceedings LNAI 10534 – 10536 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2017, held in Skopje, Macedonia, in September 2017. 

The total of 101 regular papers presented in part I and part II was carefully reviewed and selected from 364 submissions; there are 47 papers in the applied data science, nectar and demo track. 

The contributions were organized in topical sections named as follows:
Part I: anomaly detection; computer vision; ensembles and meta learning; feature selection and extraction; kernel methods; learning and optimization, matrix and tensor factorization; networks and graphs; neural networks and deep learning.
Part II: pattern and sequence mining; privacy and security; probabilistic models and methods; recommendation; regression; reinforcement learning; subgroup discovery; time series and streams; transfer and multi-task learning; unsupervised and semisupervised learning.
Part III: applied data science track; nectar track; and demo track.

Keywords

anomaly detection artificial intelligence Bayesian networks classification clustering algorithms data mining data security data stream image processing Kernel method learning algorithms machine learning neural networks recommender systems reinforcement learning signal processing social networking supervised learning support vector machines (SVM)

Editors and affiliations

  • Yasemin Altun
    • 1
  • Kamalika Das
    • 2
  • Taneli Mielikäinen
    • 3
  • Donato Malerba
    • 4
  • Jerzy Stefanowski
    • 5
  • Jesse Read
    • 6
  • Marinka Žitnik
    • 7
  • Michelangelo Ceci
    • 8
  • Sašo Džeroski
    • 9
  1. 1.Google ResearchGoogle Inc.ZurichSwitzerland
  2. 2.NASA Ames Research CenterMountain ViewUSA
  3. 3.OathSunnyvaleUSA
  4. 4.Department of Computer ScienceUniversity of Bari Aldo MoroBariItaly
  5. 5.Institute of Computing SciencePoznan University of TechnologyPoznanPoland
  6. 6.Laboratoire d’ Informatique (LIX)École PolytechniquePalaiseauFrance
  7. 7.Department of Computer ScienceStanford UniversityStanfordUSA
  8. 8.Università degli Studi di Bari Aldo MoroBariItaly
  9. 9.Jožef Stefan InstituteLjubljanaSlovenia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-71273-4
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-71272-7
  • Online ISBN 978-3-319-71273-4
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book