Machine Learning and Knowledge Discovery in Databases

1. Front Matter

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2. Main Track Contributions

   1. FLIP: Active Learning for Relational Network Classification

      • Tanwistha Saha, Huzefa Rangwala, Carlotta Domeniconi

      Pages 1-18

   2. Clustering via Mode Seeking by Direct Estimation of the Gradient of a Log-Density

      • Hiroaki Sasaki, Aapo Hyvärinen, Masashi Sugiyama

      Pages 19-34

   3. Local Policy Search in a Convex Space and Conservative Policy Iteration as Boosted Policy Search

      • Bruno Scherrer, Matthieu Geist

      Pages 35-50

   4. Code You Are Happy to Paste: An Algorithmic Dictionary of Exponential Families

      • Olivier Schwander

      Pages 51-65

   5. Statistical Hypothesis Testing in Positive Unlabelled Data

      • Konstantinos Sechidis, Borja Calvo, Gavin Brown

      Pages 66-81

   6. Students, Teachers, Exams and MOOCs: Predicting and Optimizing Attainment in Web-Based Education Using a Probabilistic Graphical Model

      • Bar Shalem, Yoram Bachrach, John Guiver, Christopher M. Bishop

      Pages 82-97

   7. Gaussian Process Multi-task Learning Using Joint Feature Selection

      • P. K. Srijith, Shirish Shevade

      Pages 98-113

   8. Separating Rule Refinement and Rule Selection Heuristics in Inductive Rule Learning

      • Julius Stecher, Frederik Janssen, Johannes Fürnkranz

      Pages 114-129

   9. Scalable Information Flow Mining in Networks

      • Karthik Subbian, Chidananda Sridhar, Charu C. Aggarwal, Jaideep Srivastava

      Pages 130-146

   10. Link Prediction in Multi-modal Social Networks

       • Panagiotis Symeonidis, Christos Perentis

       Pages 147-162

   11. Faster Way to Agony

       • Nikolaj Tatti

       Pages 163-178

   12. Speeding Up Recovery from Concept Drifts

       • Silas Garrido Teixeira de Carvalho Santos, Paulo Mauricio Gonçalves Júnior, Geyson Daniel dos Santos Silva, Roberto Souto Maior de Barros

       Pages 179-194

   13. Training Restricted Boltzmann Machines with Overlapping Partitions

       • Hasari Tosun, John W. Sheppard

       Pages 195-208

   14. Integer Bayesian Network Classifiers

       • Sebastian Tschiatschek, Karin Paul, Franz Pernkopf

       Pages 209-224

   15. Multi-target Regression via Random Linear Target Combinations

       • Grigorios Tsoumakas, Eleftherios Spyromitros-Xioufis, Aikaterini Vrekou, Ioannis Vlahavas

       Pages 225-240

   16. Ratio-Based Multiple Kernel Clustering

       • Grigorios Tzortzis, Aristidis Likas

       Pages 241-257

   17. Evidence-Based Clustering for Scalable Inference in Markov Logic

       • Deepak Venugopal, Vibhav Gogate

       Pages 258-273

   18. On Learning Matrices with Orthogonal Columns or Disjoint Supports

       • Kevin Vervier, Pierre Mahé, Alexandre D’Aspremont, Jean-Baptiste Veyrieras, Jean-Philippe Vert

       Pages 274-289

   19. Scalable Moment-Based Inference for Latent Dirichlet Allocation

       • Chi Wang, Xueqing Liu, Yanglei Song, Jiawei Han

       Pages 290-305

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.

• artificial intelligence
• association rules
• clustering
• collaborative filtering
• content ranking
• data analytics
• data mining
• data stream mining
• knowledge discovery
• knowledge extraction
• knowledge representation and reasoning
• learning paradigms
• machine learning algorithms
• multitask learning
• nearest-neighbor search
• reinforcement learning
• social recommendation
• supervised learning
• unsupervised learning
• web mining

• 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

Policies and ethics