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Machine Learning and Knowledge Discovery in Databases

European Conference, ECML PKDD 2018, Dublin, Ireland, September 10–14, 2018, Proceedings, Part III

  • Ulf Brefeld
  • Edward Curry
  • Elizabeth Daly
  • Brian MacNamee
  • Alice Marascu
  • Fabio Pinelli
  • Michele Berlingerio
  • Neil Hurley
Conference proceedings ECML PKDD 2018

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11053)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 11053)

Table of contents

  1. Front Matter
    Pages I-XXXI
  2. ADS Data Science Applications

    1. Front Matter
      Pages 1-1
    2. Muhao Chen, Changping Meng, Gang Huang, Carlo Zaniolo
      Pages 3-19
    3. Ermal Toto, Brendan J. Foley, Elke A. Rundensteiner
      Pages 37-52
    4. Yu-Ju Lee, David Hall, Jebb Stewart, Mark Govett
      Pages 53-68
    5. Hau Chan, Eric Rice, Phebe Vayanos, Milind Tambe, Matthew Morton
      Pages 69-85
  3. ADS E-commerce

    1. Front Matter
      Pages 103-103
    2. Hua-Lin He, Chun-Xiang Pan, Qing Da, An-Xiang Zeng
      Pages 105-119
    3. Frank Z. Xing, Erik Cambria, Lorenzo Malandri, Carlo Vercellis
      Pages 120-135
    4. Yuan Xia, Jingbo Zhou, Jingjia Cao, Yanyan Li, Fei Gao, Kun Liu et al.
      Pages 136-151
    5. Georg L. Grob, Ângelo Cardoso, C. H. Bryan Liu, Duncan A. Little, Benjamin Paul Chamberlain
      Pages 152-168
    6. Wen-Haw Chong, Ee-Peng Lim
      Pages 169-185
    7. Yan Yan, Zitao Liu, Meng Zhao, Wentao Guo, Weipeng P. Yan, Yongjun Bao
      Pages 186-201
  4. ADS Engineering and Design

    1. Front Matter
      Pages 203-203
    2. Riccardo Guidotti, Jacopo Soldani, Davide Neri, Antonio Brogi, Dino Pedreschi
      Pages 205-221
    3. Haytham Assem, Bora Caglayan, Teodora Sandra Buda, Declan O’Sullivan
      Pages 222-237
    4. Sunil Srinivasa, Girish Kathalagiri, Julu Subramanyam Varanasi, Luis Carlos Quintela, Mohamad Charafeddine, Chi-Hoon Lee
      Pages 238-253
    5. Luca Erculiani, Paolo Dragone, Stefano Teso, Andrea Passerini
      Pages 254-270
    6. Marcel Hildebrandt, Swathi Shyam Sunder, Serghei Mogoreanu, Ingo Thon, Volker Tresp, Thomas Runkler
      Pages 271-287
    7. Dmytro Karamshuk, David Matthews
      Pages 288-304
    8. Jonas Vlasselaer, Wannes Meert, Marian Verhelst
      Pages 305-321
  5. ADS Financial/Security

    1. Front Matter
      Pages 323-323
    2. Axel Brando, Jose A. Rodríguez-Serrano, Mauricio Ciprian, Roberto Maestre, Jordi Vitrià
      Pages 325-340
    3. Seamus Dowling, Michael Schukat, Enda Barrett
      Pages 341-355
    4. Haoti Zhong, David J. Miller, Anna Squicciarini
      Pages 356-371
    5. Roy Wedge, James Max Kanter, Kalyan Veeramachaneni, Santiago Moral Rubio, Sergio Iglesias Perez
      Pages 372-388
    6. Md. Lutfor Rahman, Sharmistha Bardhan, Ajaya Neupane, Evangelos Papalexakis, Chengyu Song
      Pages 389-404
  6. ADS Health

    1. Front Matter
      Pages 405-405
    2. Adam Tsakalidis, Maria Liakata, Theo Damoulas, Alexandra I. Cristea
      Pages 407-423
    3. Tom Decroos, Kurt Schütte, Tim Op De Beéck, Benedicte Vanwanseele, Jesse Davis
      Pages 424-439
    4. Zaineb Chelly Dagdia, Christine Zarges, Benjamin Schannes, Martin Micalef, Lino Galiana, Benoît Rolland et al.
      Pages 440-455
    5. Pieter J. K. Libin, Timothy Verstraeten, Diederik M. Roijers, Jelena Grujic, Kristof Theys, Philippe Lemey et al.
      Pages 456-471
    6. Elad Tsur, Mark Last, Victor F. Garcia, Raphael Udassin, Moti Klein, Evgeni Brotfain
      Pages 472-487
    7. Chi Zhang, Chetan Gupta, Ahmed Farahat, Kosta Ristovski, Dipanjan Ghosh
      Pages 488-504
  7. ADS Sensing/Positioning

    1. Front Matter
      Pages 505-505
    2. Bing He, Xiaolin Chen, Dian Zhang, Siyuan Liu, Dawei Han, Lionel M. Ni
      Pages 507-523
    3. J. E. van Engelen, J. J. van Lier, F. W. Takes, H. Trautmann
      Pages 524-540
    4. Antonio Bevilacqua, Kyle MacDonald, Aamina Rangarej, Venessa Widjaya, Brian Caulfield, Tahar Kechadi
      Pages 541-552
    5. Masoomeh Zameni, Mengyi He, Masud Moshtaghi, Zahra Ghafoori, Christopher Leckie, James C. Bezdek et al.
      Pages 553-568
    6. Danya Bachir, Ghazaleh Khodabandelou, Vincent Gauthier, Mounim El Yacoubi, Eric Vachon
      Pages 569-584
    7. K. Dijkstra, J. van de Loosdrecht, L. R. B. Schomaker, M. A. Wiering
      Pages 585-601
    8. Hiep V. Le, Tsuyoshi Murata, Masato Iguchi
      Pages 602-617
  8. Nectar Track

    1. Front Matter
      Pages 619-619
    2. Jakub Marecek, Peter Richtarik, Martin Takac
      Pages 621-625
    3. Vincent Bremer, Dennis Becker, Tobias Genz, Burkhardt Funk, Dirk Lehr
      Pages 626-629
    4. Hamid Zafar, Giulio Napolitano, Jens Lehmann
      Pages 635-638
    5. Andreu Vall, Gerhard Widmer
      Pages 639-642

Other volumes

  1. European Conference, ECML PKDD 2018, Dublin, Ireland, September 10–14, 2018, Proceedings, Part I
  2. European Conference, ECML PKDD 2018, Dublin, Ireland, September 10–14, 2018, Proceedings, Part II
  3. Machine Learning and Knowledge Discovery in Databases
    European Conference, ECML PKDD 2018, Dublin, Ireland, September 10–14, 2018, Proceedings, Part III
  4. Nemesis 2018, UrbReas 2018, SoGood 2018, IWAISe 2018, and Green Data Mining 2018, Dublin, Ireland, September 10-14, 2018, Proceedings

About these proceedings

Introduction

The three volume proceedings LNAI 11051 – 11053 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2018, held in Dublin, Ireland, in September 2018. 

The total of 131 regular papers presented in part I and part II was carefully reviewed and selected from 535 submissions; there are 52 papers in the applied data science, nectar and demo track. 

The contributions were organized in topical sections named as follows:
Part I: adversarial learning; anomaly and outlier detection; applications; classification; clustering and unsupervised learning; deep learning; ensemble methods; and evaluation.
Part II: graphs; kernel methods; learning paradigms; matrix and tensor analysis; online and active learning; pattern and sequence mining; probabilistic models and statistical methods; recommender systems; and transfer learning.
Part III: ADS data science applications; ADS e-commerce; ADS engineering and design; ADS financial and security; ADS health; ADS sensing and positioning; nectar track; and demo track.

Keywords

artificial intelligence bayesian networks classification data mining Human-Computer Interaction (HCI) internet learning algorithms machine learning natural language processing systems neural networks semantics sensor sensors signal processing social networks ubiquitous computing user interfaces wireless networks wireless telecommunication systems World Wide Web

Editors and affiliations

  1. 1.Leuphana UniversityLüneburgGermany
  2. 2.National University of IrelandGalwayIreland
  3. 3.IBM Research - IrelandDublinIreland
  4. 4.University College DublinDublinIreland
  5. 5.Nokia (Ireland)DublinIreland
  6. 6.VodafoneMilanItaly
  7. 7.IBM Research - IrelandDublinIreland
  8. 8.University College DublinDublinIreland

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-10997-4
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-10996-7
  • Online ISBN 978-3-030-10997-4
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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