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  • Conference proceedings
  • © 2012

Machine Learning and Knowledge Discovery in Databases

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

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

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

Conference series link(s): ECML PKDD: Joint European Conference on Machine Learning and Knowledge Discovery in Databases

Conference proceedings info: ECML PKDD 2012.

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Table of contents (64 papers)

  1. Front Matter

  2. Privacy and Security

    1. AUDIO: An Integrity $\underline{Audi}$ ting Framework of $\underline{O}$ utlier-Mining-as-a-Service Systems

      • Ruilin Liu, Hui (Wendy) Wang, Anna Monreale, Dino Pedreschi, Fosca Giannotti, Wenge Guo
      Pages 1-18
    2. Fairness-Aware Classifier with Prejudice Remover Regularizer

      • Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Jun Sakuma
      Pages 35-50
  3. Rankings and Recommendations

    1. A Live Comparison of Methods for Personalized Article Recommendation at Forbes.com

      • Evan Kirshenbaum, George Forman, Michael Dugan
      Pages 51-66
  4. Reinforcement Learning and Planning

    1. APRIL: Active Preference Learning-Based Reinforcement Learning

      • Riad Akrour, Marc Schoenauer, Michèle Sebag
      Pages 116-131
    2. Autonomous Data-Driven Decision-Making in Smart Electricity Markets

      • Markus Peters, Wolfgang Ketter, Maytal Saar-Tsechansky, John Collins
      Pages 132-147
    3. Bayesian Nonparametric Inverse Reinforcement Learning

      • Bernard Michini, Jonathan P. How
      Pages 148-163
    4. Bootstrapping Monte Carlo Tree Search with an Imperfect Heuristic

      • Truong-Huy Dinh Nguyen, Wee-Sun Lee, Tze-Yun Leong
      Pages 164-179
    5. Fast Reinforcement Learning with Large Action Sets Using Error-Correcting Output Codes for MDP Factorization

      • Gabriel Dulac-Arnold, Ludovic Denoyer, Philippe Preux, Patrick Gallinari
      Pages 180-194
    6. Learning Policies for Battery Usage Optimization in Electric Vehicles

      • Stefano Ermon, Yexiang Xue, Carla Gomes, Bart Selman
      Pages 195-210
    7. Policy Iteration Based on a Learned Transition Model

      • Vivek Ramavajjala, Charles Elkan
      Pages 211-226
    8. Structured Apprenticeship Learning

      • Abdeslam Boularias, Oliver Krömer, Jan Peters
      Pages 227-242
  5. Rule Mining and Subgroup Discovery

    1. A Bayesian Scoring Technique for Mining Predictive and Non-Spurious Rules

      • Iyad Batal, Gregory Cooper, Milos Hauskrecht
      Pages 260-276
    2. Generic Pattern Trees for Exhaustive Exceptional Model Mining

      • Florian Lemmerich, Martin Becker, Martin Atzmueller
      Pages 277-292
  6. Semi-Supervised and Transductive Learning

    1. Bidirectional Semi-supervised Learning with Graphs

      • Tomoharu Iwata, Kevin Duh
      Pages 293-306

Other Volumes

  1. Machine Learning and Knowledge Discovery in Databases

About this book

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.

Keywords

  • Bayesian network classifiers
  • data mining
  • hypergraphs
  • social media
  • tree search

Editors and Affiliations

  • Intelligent Systems Laboratory, University of Bristol, Bristol, UK

    Peter A. Flach, Tijl Bie, Nello Cristianini

Bibliographic Information

Buying options

eBook USD 39.99
Price excludes VAT (Canada)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (Canada)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions