Accepted papers at DS 2011

Proceedings of the 14th International Conference on Discovery Science have appeared in the Lecture Notes in Computer Science series, as Volume 6926. They are available in electronic form through SpringerLink.

Invited talks

• On the Expressive Power of Deep Architectures
  Yoshua Bengio and Olivier Delalleau

• Learning from Label Preferences
  Eyke Hüllermeier and Johannes Fürnkranz

• Information Distance and Its Extensions
  Ming Li

• Models for Autonomously Motivated Exploration in Reinforcement Learning
  Peter Auer, Shiau Hong Lim and Chris Watkins

• Optimal Estimation
  Jorma Rissanen

Contributed articles

• Monotone Instance Ranking with MIRA
  Nicola Barile and Ad Feelders

• MOA-TweetReader: Real-Time Analysis in Twitter Streaming Data
  Albert Bifet, Geoffrey Holmes and Bernhard Pfahringer

• Application of Semantic Kernels to Literature-Based Gene Function Annotation
  Mathieu Blondel, Kazuhiro Seki and Kuniaki Uehara.

• "Tell Me More": Finding Related Items from User Provided Feedback
  Jeroen De Knijf, Anthony Liekens and Bart Goethals

• MEI: Mutual Enhanced Infinite Generative Model for Simultaneous Community and Topic Detection
  Dongsheng Duan, Yuhua Li, Ruixuan Li, Zhengding Lu and Aiming Wen

• A Methodology for Mining Document-Enriched Heterogeneous Information Networks
  Miha Grčar and Nada Lavrač

• Multiple Hypothesis Testing in Pattern Discovery
  Sami Hanhijärvi

• A Parameter-Free Method for Discovering Generalized Clusters in a Network
  Hiroshi Hirai, Bin-Hui Chou and Einoshin Suzuki

• Detecting Anti-majority Opinionists Using Value-Weighted Mixture Voter Model
  Masahiro Kimura, Kazumi Saito, Kouzou Ohara and Hiroshi Motoda

• Using Ontologies in Semantic Data Mining with SEGS and g-SEGS
  Nada Lavrač, Anže Vavpetič, Larisa Soldatova, Igor Trajkovski and Petra Kralj Novak

• Mining Classification Rules Without Support: an Anti-monotone Property of Jaccard Measure
  Yannick Le Bras, Stéphane Lallich and Philippe Lenca

• Bootstrapping Parameter Estimation in Dynamic Systems
  Huma Lodhi and David Gilbert

• Network Effects on Tweeting
  Jake Lussier and Nitesh V. Chawla

• Context-aware Personal Route Recognition
  Oleksiy Mazhelis, Indre Žliobaite and Mykola Pechenizkiy

• Scalable Detection of Frequent Substrings by Grammar-Based Compression
  Masaya Nakahara, Shirou Maruyama, Tetsuji Kuboyama and Hiroshi Sakamoto

• A Statistical Model for Topically Segmented Documents
  Giovanni Ponti, Andrea Tagarelli and George Karypis

• Predicting Structured Outputs k-Nearest Neighbours Method
  Mitja Pugelj and Sašo Džeroski

• The Augmented Itemset Tree: A Data Structure for Online Maximum Frequent Pattern Mining
  Jana Schmidt and Stefan Kramer

• Word Clouds for Efficient Document Labeling
  Christin Seifert, Eva Ulbrich and Michael Granitzer

• Global and Local Spatial Autocorrelation in Predictive Clustering Trees
  Daniela Stojanova, Michelangelo Ceci, Annalisa Appice, Donato Malerba and Sašo Džeroski

• Rule Stacking: An Approach for Compressing an Ensemble of Rule Sets into a Single Classifier
  Jan-Nikolas Sulzmann and Johannes Fürnkranz

• Graph Clustering Based on Optimization of a Macroscopic Structure of Clusters
  Yuta Taniguchi and Daisuke Ikeda

• Modeling the Temperature of Hot Rolled Steel Plate with Semi-supervised Learning Methods
  Henna Tiensuu, Ilmari Juutilainen and Juha Röning

• Controlled Permutations for Testing Adaptive Classifiers
  Indre Žliobaite