Skip to main content
  • Conference proceedings
  • © 2014

Machine Learning and Knowledge Discovery in Databases

European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part II

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8725)

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

Conference series link(s): ECML PKDD: Joint European Conference on Machine Learning and Knowledge Discovery in Databases

Conference proceedings info: ECML PKDD 2014.

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

This is a preview of subscription content, log in via an institution to check for access.

Table of contents (44 papers)

  1. Front Matter

  2. Main Track Contributions

    1. Robust Distributed Training of Linear Classifiers Based on Divergence Minimization Principle

      • Junpei Komiyama, Hidekazu Oiwa, Hiroshi Nakagawa
      Pages 1-17
    2. Causal Clustering for 2-Factor Measurement Models

      • Erich Kummerfeld, Joe Ramsey, Renjie Yang, Peter Spirtes, Richard Scheines
      Pages 34-49
    3. Support Vector Machines for Differential Prediction

      • Finn Kuusisto, Vitor Santos Costa, Houssam Nassif, Elizabeth Burnside, David Page, Jude Shavlik
      Pages 50-65
    4. Mining Top-K Largest Tiles in a Data Stream

      • Hoang Thanh Lam, Wenjie Pei, Adriana Prado, Baptiste Jeudy, Élisa Fromont
      Pages 82-97
    5. Ranked Tiling

      • Thanh Le Van, Matthijs van Leeuwen, Siegfried Nijssen, Ana Carolina Fierro, Kathleen Marchal, Luc De Raedt
      Pages 98-113
    6. Fast Estimation of the Pattern Frequency Spectrum

      • Matthijs van Leeuwen, Antti Ukkonen
      Pages 114-129
    7. Recurrent Greedy Parsing with Neural Networks

      • Joël Legrand, Ronan Collobert
      Pages 130-144
    8. FILTA: Better View Discovery from Collections of Clusterings via Filtering

      • Yang Lei, Nguyen Xuan Vinh, Jeffrey Chan, James Bailey
      Pages 145-160
    9. Learning Binary Codes with Bagging PCA

      • Cong Leng, Jian Cheng, Ting Yuan, Xiao Bai, Hanqing Lu
      Pages 177-192
    10. Conic Multi-task Classification

      • Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos
      Pages 193-208
    11. Optimal Thresholding of Classifiers to Maximize F1 Measure

      • Zachary C. Lipton, Charles Elkan, Balakrishnan Naryanaswamy
      Pages 225-239
    12. Randomized Operating Point Selection in Adversarial Classification

      • Viliam Lisý, Robert Kessl, Tomáš Pevný
      Pages 240-255
    13. Hierarchical Latent Tree Analysis for Topic Detection

      • Tengfei Liu, Nevin L. Zhang, Peixian Chen
      Pages 256-272
    14. Bayesian Models for Structured Sparse Estimation via Set Cover Prior

      • Xianghang Liu, Xinhua Zhang, Tibério Caetano
      Pages 273-289

About this book

This three-volume set LNAI 8724, 8725 and 8726 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2014, held in Nancy, France, in September 2014. The 115 revised research papers presented together with 13 demo track papers, 10 nectar track papers, 8 PhD track papers, and 9 invited talks were carefully reviewed and selected from 550 submissions. The papers cover the latest high-quality interdisciplinary research results in all areas related to machine learning and knowledge discovery in databases.

Editors and Affiliations

  • Faculty of Applied Sciences,Department of Computer and Decision Engineering, Université Libre de Bruxelles, Brussels, Belgium

    Toon Calders

  • Dipartimento di Informatica, Università degli Studi “Aldo Moro”, Bari, Italy

    Floriana Esposito

  • Department of Computer Science, Universität Paderborn, Paderborn, Germany

    Eyke Hüllermeier

  • Dipartimento di Informatica, Università degli Studi di Torino, Torino, Italy

    Rosa Meo

Bibliographic Information

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access