Machine Learning and Knowledge Discovery in Databases

European Conference, ECML PKDD 2012, Bristol, UK, September 24-28, 2012. Proceedings, Part II

  • Peter A. Flach
  • Tijl De Bie
  • Nello Cristianini
Conference proceedings ECML PKDD 2012

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7524)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 7524)

Table of contents

  1. Front Matter
  2. Privacy and Security

    1. Ruilin Liu, Hui (Wendy) Wang, Anna Monreale, Dino Pedreschi, Fosca Giannotti, Wenge Guo
      Pages 1-18
    2. Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Jun Sakuma
      Pages 35-50
  3. Rankings and Recommendations

  4. Reinforcement Learning and Planning

    1. Riad Akrour, Marc Schoenauer, Michèle Sebag
      Pages 116-131
    2. Markus Peters, Wolfgang Ketter, Maytal Saar-Tsechansky, John Collins
      Pages 132-147
    3. Bernard Michini, Jonathan P. How
      Pages 148-163
    4. Truong-Huy Dinh Nguyen, Wee-Sun Lee, Tze-Yun Leong
      Pages 164-179
    5. Gabriel Dulac-Arnold, Ludovic Denoyer, Philippe Preux, Patrick Gallinari
      Pages 180-194
    6. Stefano Ermon, Yexiang Xue, Carla Gomes, Bart Selman
      Pages 195-210
    7. Vivek Ramavajjala, Charles Elkan
      Pages 211-226
    8. Abdeslam Boularias, Oliver Krömer, Jan Peters
      Pages 227-242
  5. Rule Mining and Subgroup Discovery

    1. Iyad Batal, Gregory Cooper, Milos Hauskrecht
      Pages 260-276
    2. Florian Lemmerich, Martin Becker, Martin Atzmueller
      Pages 277-292
  6. Semi-Supervised and Transductive Learning

    1. Tomoharu Iwata, Kevin Duh
      Pages 293-306
    2. Matan Orbach, Koby Crammer
      Pages 323-338
    3. Deguang Kong, Chris Ding
      Pages 339-354
    4. Yuhong Guo, Dale Schuurmans
      Pages 355-370
  7. Sensor Data

    1. Ugo Vespier, Arno Knobbe, Siegfried Nijssen, Joaquin Vanschoren
      Pages 371-386
    2. Sangkyun Lee, Marco Stolpe, Katharina Morik
      Pages 387-402
    3. Melih Kandemir, Arto Klami, Akos Vetek, Samuel Kaski
      Pages 403-418
  8. Sequence and String Mining

    1. Sam Blasiak, Huzefa Rangwala, Kathryn B. Laskey
      Pages 419-434
    2. Tomohiro I, Yuki Enokuma, Hideo Bannai, Masayuki Takeda
      Pages 435-450
    3. Jefrey Lijffijt, Panagiotis Papapetrou, Kai Puolamäki
      Pages 451-466
  9. Social Network Mining

    1. Francesco Buccafurri, Gianluca Lax, Antonino Nocera, Domenico Ursino
      Pages 467-482
    2. Mehdi Kargar, Aijun An, Morteza Zihayat
      Pages 483-498
    3. Liaoruo Wang, Stefano Ermon, John E. Hopcroft
      Pages 499-514
    4. Konstantinos Pelechrinis, Prashant Krishnamurthy
      Pages 531-547
    5. Yu Yang, Enhong Chen, Qi Liu, Biao Xiang, Tong Xu, Shafqat Ali Shad
      Pages 548-564
    6. Masahiro Kimura, Kazumi Saito, Kouzou Ohara, Hiroshi Motoda
      Pages 565-580
    7. Ramasuri Narayanam, Amit A. Nanavati
      Pages 581-596
    8. Deqing Yang, Yanghua Xiao, Bo Xu, Hanghang Tong, Wei Wang, Sheng Huang
      Pages 597-612
  10. Spatial and Geographical Data Mining

    1. Honglei Zhuang, Alvin Chin, Sen Wu, Wei Wang, Xia Wang, Jie Tang
      Pages 613-628
    2. Thomas Liebig, Zhao Xu, Michael May, Stefan Wrobel
      Pages 629-643
    3. Jun-Ming Xu, Aniruddha Bhargava, Robert Nowak, Xiaojin Zhu
      Pages 644-659
  11. Statistical Methods and Evaluation

    1. Gaurav Misra, Behzad Golshan, Evimaria Terzi
      Pages 660-675
    2. Christoph Sawade, Steffen Bickel, Timo von Oertzen, Tobias Scheffer, Niels Landwehr
      Pages 676-691
  12. Time Series and Temporal Data Mining

    1. Manish Gupta, Jing Gao, Yizhou Sun, Jiawei Han
      Pages 692-708
    2. Caio Valentim, Eduardo S. Laber, David Sotelo
      Pages 709-724
    3. Josif Grabocka, Alexandros Nanopoulos, Lars Schmidt-Thieme
      Pages 725-740
    4. Tzu-Kuo Huang, Jeff Schneider
      Pages 741-756
  13. Transfer Learning

    1. Fangwei Hu, Tianqi Chen, Nathan N. Liu, Qiang Yang, Yong Yu
      Pages 757-772
    2. Nan Li, William W. Cohen, Kenneth R. Koedinger
      Pages 773-788

Other volumes

  1. European Conference, ECML PKDD 2012, Bristol, UK, September 24-28, 2012. Proceedings, Part I
  2. Machine Learning and Knowledge Discovery in Databases
    European Conference, ECML PKDD 2012, Bristol, UK, September 24-28, 2012. Proceedings, Part II

About these proceedings


This two-volume set LNAI 7523 and LNAI 7524 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2012, held in Bristol, UK, in September 2012. The 105 revised research papers presented together with 5 invited talks were carefully reviewed and selected from 443 submissions. The final sections of the proceedings are devoted to Demo and Nectar papers. The Demo track includes 10 papers (from 19 submissions) and the Nectar track includes 4 papers (from 14 submissions). The papers grouped in topical sections on association rules and frequent patterns; Bayesian learning and graphical models; classification; dimensionality reduction, feature selection and extraction; distance-based methods and kernels; ensemble methods; graph and tree mining; large-scale, distributed and parallel mining and learning; multi-relational mining and learning; multi-task learning; natural language processing; online learning and data streams; privacy and security; rankings and recommendations; reinforcement learning and planning; rule mining and subgroup discovery; semi-supervised and transductive learning; sensor data; sequence and string mining; social network mining; spatial and geographical data mining; statistical methods and evaluation; time series and temporal data mining; and transfer learning.


Bayesian network classifiers data mining hypergraphs social media tree search

Editors and affiliations

  • Peter A. Flach
    • 1
  • Tijl De Bie
    • 2
  • Nello Cristianini
    • 2
  1. 1.Intelligent Systems LaboratoryUniversity of BristolBristolUK
  2. 2.Intelligent Systems LaboratoryUniversity of BristolBristolUK

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2012
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science Computer Science (R0)
  • Print ISBN 978-3-642-33485-6
  • Online ISBN 978-3-642-33486-3
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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