Machine Learning and Knowledge Discovery in Databases

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

  • 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 8190)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 8190)

Table of contents

  1. Front Matter
  2. Ensembles

    1. Baidya Nath Saha, Gautam Kunapuli, Nilanjan Ray, Joseph A. Maldjian, Sriraam Natarajan
      Pages 1-16
    2. Indraneel Mukherjee, Kevin Canini, Rafael Frongillo, Yoram Singer
      Pages 17-32
    3. Houman Abbasian, Chris Drummond, Nathalie Japkowicz, Stan Matwin
      Pages 33-48
  3. Statistical Learning

    1. Xiong Li, Bin Wang, Yuncai Liu, Tai Sing Lee
      Pages 49-64
    2. Constantinos Panagiotakopoulos, Petroula Tsampouka
      Pages 65-80
    3. Kostiantyn Antoniuk, Vojtěch Franc, Václav Hlaváč
      Pages 96-111
  4. Semi-supervised Learning

    1. Bhavana Dalvi, William W. Cohen, Jamie Callan
      Pages 128-143
    2. P. K. Srijith, Shirish Shevade, S. Sundararajan
      Pages 144-159
    3. Celso André R. de Sousa, Solange O. Rezende, Gustavo E. A. P. A. Batista
      Pages 160-175
    4. Kai-Wei Chang, S. Sundararajan, S. Sathiya Keerthi
      Pages 176-191
    5. Behnam Babagholami-Mohamadabadi, Ali Zarghami, Mohammadreza Zolfaghari, Mahdieh Soleymani Baghshah
      Pages 192-207
  5. Unsupervised Learning

    1. Wenchao Yu, Guangxiang Zeng, Ping Luo, Fuzhen Zhuang, Qing He, Zhongzhi Shi
      Pages 208-223
    2. Yinjie Huang, Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos
      Pages 224-239
    3. Max Vladymyrov, Miguel Á. Carreira-Perpiñán
      Pages 256-271
  6. Subgroup Discovery, Outlier Detection and Anomaly Detection

    1. Matthijs van Leeuwen, Antti Ukkonen
      Pages 272-287
    2. Florian Lemmerich, Martin Becker, Frank Puppe
      Pages 288-303
    3. Xuan Hong Dang, Barbora Micenková, Ira Assent, Raymond T. Ng
      Pages 304-320
    4. Marco Stolpe, Kanishka Bhaduri, Kamalika Das, Katharina Morik
      Pages 321-336
  7. Privacy and Security

    1. Giorgos Poulis, Grigorios Loukides, Aris Gkoulalas-Divanis, Spiros Skiadopoulos
      Pages 353-369
    2. Michael Kamp, Christine Kopp, Michael Mock, Mario Boley, Michael May
      Pages 370-386
    3. Battista Biggio, Igino Corona, Davide Maiorca, Blaine Nelson, Nedim Šrndić, Pavel Laskov et al.
      Pages 387-402
  8. Data Mining and Constraint Solving

    1. Said Jabbour, Lakhdar Sais, Yakoub Salhi
      Pages 403-418
    2. Thi-Bich-Hanh Dao, Khanh-Chuong Duong, Christel Vrain
      Pages 419-434
    3. Marco Collautti, Yuri Malitsky, Deepak Mehta, Barry O’Sullivan
      Pages 435-450
  9. Evaluation

    1. Kendrick Boyd, Kevin H. Eng, C. David Page
      Pages 451-466
  10. Applications

    1. Xiaomin Xu, Yiqi Lu, Sheng Huang, Yanghua Xiao, Wei Wang
      Pages 467-482
    2. Xian Wu, Ziming Feng, Wei Fan, Jing Gao, Yong Yu
      Pages 483-498
    3. Tong Wang, Cynthia Rudin, Daniel Wagner, Rich Sevieri
      Pages 515-530
  11. Medical Applications

    1. Yin Song, Jian Zhang, Longbing Cao, Morgan Sangeux
      Pages 563-578
    2. Ping Zhang, Pankaj Agarwal, Zoran Obradovic
      Pages 579-594
    3. Houssam Nassif, Finn Kuusisto, Elizabeth S. Burnside, David Page, Jude Shavlik, Vítor Santos Costa
      Pages 595-611
  12. Nectar Track

    1. Maximilian Nickel, Volker Tresp
      Pages 617-621
    2. Myra Spiliopoulou, Eirini Ntoutsi, Yannis Theodoridis, Rene Schult
      Pages 622-626
    3. Jan Peters, Jens Kober, Katharina Mülling, Oliver Krämer, Gerhard Neumann
      Pages 627-631
  13. Demo Track

    1. Fabrice Lauri, Nicolas Gaud, Stéphane Galland, Vincent Hilaire
      Pages 641-644
    2. Jan N. van Rijn, Bernd Bischl, Luis Torgo, Bo Gao, Venkatesh Umaashankar, Simon Fischer et al.
      Pages 645-649
    3. Borut Sluban, Nada Lavrač
      Pages 650-653
    4. Nikos Pelekis, Christos Ntrigkogias, Panagiotis Tampakis, Stylianos Sideridis, Yannis Theodoridis
      Pages 659-662

Other volumes

  1. European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part I
  2. European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part II
  3. Machine Learning and Knowledge Discovery in Databases
    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 978-3-642-40993-6
  • Online ISBN 978-3-642-40994-3
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site