This book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2010, held in Barcelona, Spain, in September 2010. The 120 revised full papers presented in three volumes, together with 12 demos (out of 24 submitted demos), were carefully reviewed and selected from 658 paper submissions. In addition, 7 ML and 7 DM papers were distinguished by the program chairs on the basis of their exceptional scientific quality and high impact on the field. The conference intends to provide an international forum for the discussion of the latest high quality research results in all areas related to machine learning and knowledge discovery in databases. A topic widely explored from both ML and DM perspectives was graphs, with motivations ranging from molecular chemistry to social networks.
Author(s): Gjergji Kasneci, Jurgen Van Gael, Ralf Herbrich, Thore Graepel (auth.), José Luis Balcázar, Francesco Bonchi, Aristides Gionis, Michèle Sebag (eds.)
Series: Lecture Notes in Computer Science 6322 : Lecture Notes in Artificial Intelligence
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2010
Language: English
Pages: 518
Tags: Artificial Intelligence (incl. Robotics); Information Systems Applications (incl.Internet); Information Storage and Retrieval; Database Management; Data Mining and Knowledge Discovery; Information Systems and Communication Service
Front Matter....Pages -
Bayesian Knowledge Corroboration with Logical Rules and User Feedback....Pages 1-18
Learning an Affine Transformation for Non-linear Dimensionality Reduction....Pages 19-34
NDPMine: Efficiently Mining Discriminative Numerical Features for Pattern-Based Classification....Pages 35-50
Hidden Conditional Ordinal Random Fields for Sequence Classification....Pages 51-65
A Unifying View of Multiple Kernel Learning....Pages 66-81
Evolutionary Dynamics of Regret Minimization....Pages 82-96
Recognition of Instrument Timbres in Real Polytimbral Audio Recordings....Pages 97-110
Finding Critical Nodes for Inhibiting Diffusion of Complex Contagions in Social Networks....Pages 111-127
Semi-supervised Abstraction-Augmented String Kernel for Multi-level Bio-Relation Extraction....Pages 128-144
Online Knowledge-Based Support Vector Machines....Pages 145-161
Learning with Randomized Majority Votes....Pages 162-177
Exploration in Relational Worlds....Pages 178-194
Efficient Confident Search in Large Review Corpora....Pages 195-210
Learning to Tag from Open Vocabulary Labels....Pages 211-226
A Robustness Measure of Association Rules....Pages 227-242
Automatic Model Adaptation for Complex Structured Domains....Pages 243-258
Collective Traffic Forecasting....Pages 259-273
On Detecting Clustered Anomalies Using SCiForest....Pages 274-290
Constrained Parameter Estimation for Semi-supervised Learning: The Case of the Nearest Mean Classifier....Pages 291-304
Online Learning in Adversarial Lipschitz Environments....Pages 305-320
Summarising Data by Clustering Items....Pages 321-336
Classification and Novel Class Detection of Data Streams in a Dynamic Feature Space....Pages 337-352
Latent Structure Pattern Mining....Pages 353-368
First-Order Bayes-Ball....Pages 369-384
Learning from Demonstration Using MDP Induced Metrics....Pages 385-401
Demand-Driven Tag Recommendation....Pages 402-417
Solving Structured Sparsity Regularization with Proximal Methods....Pages 418-433
Exploiting Causal Independence in Markov Logic Networks: Combining Undirected and Directed Models....Pages 434-450
Improved MinMax Cut Graph Clustering with Nonnegative Relaxation....Pages 451-466
Integrating Constraint Programming and Itemset Mining....Pages 467-482
Topic Modeling for Personalized Recommendation of Volatile Items....Pages 483-498
Conditional Ranking on Relational Data....Pages 499-514
Back Matter....Pages -
