Machine Learning and Knowledge Discovery in Databases

European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part II

  • Hendrik Blockeel
  • Kristian Kersting
  • Siegfried Nijssen
  • Filip Železný
Conference proceedings ECML PKDD 2013

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8189)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 8189)

Table of contents

  1. Front Matter
  2. Social Network Analysis

    1. Yuxiao Dong, Jie Tang, Tiancheng Lou, Bin Wu, Nitesh V. Chawla
      Pages 16-31
    2. Nikolaj Tatti, Aristides Gionis
      Pages 32-47
    3. Yasir Mehmood, Nicola Barbieri, Francesco Bonchi, Antti Ukkonen
      Pages 48-63
  3. Natural Language Processing and Information Extraction

    1. William Darling, Cédric Archambeau, Shachar Mirkin, Guillaume Bouchard
      Pages 80-94
    2. Moises Goldszmidt, Marc Najork, Stelios Paparizos
      Pages 95-111
  4. Ranking and Recommender Systems

    1. Karthik Raman, Thorsten Joachims
      Pages 128-144
    2. Julien Delporte, Alexandros Karatzoglou, Tomasz Matuszczyk, Stéphane Canu
      Pages 145-160
    3. Sheng Gao, Hao Luo, Da Chen, Shantao Li, Patrick Gallinari, Jun Guo
      Pages 161-176
    4. Deguang Kong, Miao Zhang, Chris Ding
      Pages 177-193
  5. Matrix and Tensor Analysis

    1. Suriya Gunasekar, Ayan Acharya, Neeraj Gaur, Joydeep Ghosh
      Pages 194-209
    2. Dehua Liu, Tengfei Zhou, Hui Qian, Congfu Xu, Zhihua Zhang
      Pages 210-225
    3. Hongyang Zhang, Zhouchen Lin, Chao Zhang
      Pages 226-241
    4. Kleanthis-Nikolaos Kontonasios, Jilles Vreeken, Tijl De Bie
      Pages 256-271
    5. Maximilian Nickel, Volker Tresp
      Pages 272-287
  6. Structured Output Prediction, Multi-label and Multi-task Learning

    1. Matthew B. Blaschko, Wojciech Zaremba, Arthur Gretton
      Pages 304-319
    2. Zubin Abraham, Pang-Ning Tan, Perdinan, Julie Winkler, Shiyuan Zhong, Malgorzata Liszewska
      Pages 320-335
    3. Chengtao Li, Jianwen Zhang, Zheng Chen
      Pages 336-352
    4. Xin Jin, Fuzhen Zhuang, Shuhui Wang, Qing He, Zhongzhi Shi
      Pages 353-368
    5. Ayan Acharya, Aditya Rawal, Raymond J. Mooney, Eduardo R. Hruschka
      Pages 369-384
    6. Rodrigo C. Barros, Ricardo Cerri, Alex A. Freitas, André C. P. L. F. de Carvalho
      Pages 385-400
    7. Kai-Wei Chang, Vivek Srikumar, Dan Roth
      Pages 401-416
    8. Yuhong Guo, Dale Schuurmans
      Pages 417-432
  7. Transfer Learning

    1. Amaury Habrard, Jean-Philippe Peyrache, Marc Sebban
      Pages 433-448
    2. Haitham Bou Ammar, Decebal Constantin Mocanu, Matthew E. Taylor, Kurt Driessens, Karl Tuyls, Gerhard Weiss
      Pages 449-464
  8. Bayesian Learning

    1. Adway Mitra, Ranganath B.N., Indrajit Bhattacharya
      Pages 465-482
    2. Wei Liu, Jeffrey Chan, James Bailey, Christopher Leckie, Fang Chen, Kotagiri Ramamohanarao
      Pages 483-498
    3. Kazuto Fukuchi, Jun Sakuma, Toshihiro Kamishima
      Pages 499-514
    4. M. Ehsan Abbasnejad, Edwin V. Bonilla, Scott Sanner
      Pages 515-530
    5. Konstantinos Bousmalis, Stefanos Zafeiriou, Louis–Philippe Morency, Maja Pantic, Zoubin Ghahramani
      Pages 531-547
    6. Václav Šmídl, Ondřej Tichý
      Pages 548-563
    7. Priyanka Agrawal, Lavanya Sita Tekumalla, Indrajit Bhattacharya
      Pages 564-579
  9. Graphical Models

  10. Nearest-Neighbor Methods

    1. Yan-Ming Zhang, Kaizhu Huang, Guanggang Geng, Cheng-Lin Liu
      Pages 660-674
    2. Murat Semerci, Ethem Alpaydın
      Pages 675-688
  11. Back Matter

Other volumes

  1. European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part I
  2. Machine Learning and Knowledge Discovery in Databases
    European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part II
  3. European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part III

About these proceedings


This three-volume set LNAI 8188, 8189 and 8190 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2013, held in Prague, Czech Republic, in September 2013. The 111 revised research papers presented together with 5 invited talks were carefully reviewed and selected from 447 submissions. The papers are organized in topical sections on reinforcement learning; Markov decision processes; active learning and optimization; learning from sequences; time series and spatio-temporal data; data streams; graphs and networks; social network analysis; natural language processing and information extraction; ranking and recommender systems; matrix and tensor analysis; structured output prediction, multi-label and multi-task learning; transfer learning; bayesian learning; graphical models; nearest-neighbor methods; ensembles; statistical learning; semi-supervised learning; unsupervised learning; subgroup discovery, outlier detection and anomaly detection; privacy and security; evaluation; applications; and medical applications.


bayesian network data mining graph-based methods parallel optimization social responsibility

Editors and affiliations

  • Hendrik Blockeel
    • 1
  • Kristian Kersting
    • 2
  • Siegfried Nijssen
    • 3
  • Filip Železný
    • 4
  1. 1.Department of Computer ScienceKatholieke Universiteit LeuvenLeuvenBelgium
  2. 2.Fraunhofer IAIS, Department of Knowledge Discovery, Schloss BirlinghovenUniversity of BonnSankt AugustinGermany
  3. 3.LIACSUniversiteit LeidenLeidenThe Netherlands
  4. 4.Department of Computer Science and EngineeringCzech Technical UniversityPrague 6Czech Republic

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science Computer Science (R0)
  • Print ISBN 978-3-642-40990-5
  • Online ISBN 978-3-642-40991-2
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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