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Machine Learning and Knowledge Discovery in Databases

European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part III

  • Conference proceedings
  • © 2015

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9286)

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

Included in the following conference series:

Conference proceedings info: ECML PKDD 2015.

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Table of contents (43 papers)

  1. Nectar Track

  2. Demo Track

Other volumes

Keywords

About this book

The three volume set LNAI 9284, 9285, and 9286 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2015, held in Porto, Portugal, in September 2015. The 131 papers presented in these proceedings were carefully reviewed and selected from a total of 483 submissions. These include 89 research papers, 11 industrial papers, 14 nectar papers, 17 demo papers. They were organized in topical sections named: classification, regression and supervised learning; clustering and unsupervised learning; data preprocessing; data streams and online learning; deep learning; distance and metric learning; large scale learning and big data; matrix and tensor analysis; pattern and sequence mining; preference learning and label ranking; probabilistic, statistical, and graphical approaches; rich data; and social and graphs. Part III is structured in industrial track, nectar track, and demo track.

Editors and Affiliations

  • Huawei Noah’s Ark Lab, Shatin, Hong Kong

    Albert Bifet

  • Siemens AG Corporate Technology, München, Germany

    Michael May

  • IBM Research Brazil, Rio de Janeiro, Brazil

    Bianca Zadrozny

  • Universitat Politècnica de Catalunya, Barcelona, Spain

    Ricard Gavalda

  • Università di Pisa, Pisa, Italy

    Dino Pedreschi

  • Eurecat / Yahoo Labs, Barcelona, Spain

    Francesco Bonchi

  • University of Porto - INESC TEC, Porto, Portugal

    Jaime Cardoso

  • Otto-von-Guericke University, Magdeburg, Germany

    Myra Spiliopoulou

Bibliographic Information

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