Ebook: Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010, Proceedings, Part III

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.

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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.
Content:
Front Matter....Pages -
Efficient Planning in Large POMDPs through Policy Graph Based Factorized Approximations....Pages 1-16
Unsupervised Trajectory Sampling....Pages 17-33
Fast Extraction of Locally Optimal Patterns Based on Consistent Pattern Function Variations....Pages 34-49
Large Margin Learning of Bayesian Classifiers Based on Gaussian Mixture Models....Pages 50-66
Learning with Ensembles of Randomized Trees : New Insights....Pages 67-82
Entropy and Margin Maximization for Structured Output Learning....Pages 83-98
Virus Propagation on Time-Varying Networks: Theory and Immunization Algorithms ....Pages 99-114
Adapting Decision DAGs for Multipartite Ranking....Pages 115-130
Fast and Scalable Algorithms for Semi-supervised Link Prediction on Static and Dynamic Graphs....Pages 131-147
Modeling Relations and Their Mentions without Labeled Text....Pages 148-163
An Efficient and Scalable Algorithm for Local Bayesian Network Structure Discovery....Pages 164-179
Selecting Information Diffusion Models over Social Networks for Behavioral Analysis....Pages 180-195
Learning Sparse Gaussian Markov Networks Using a Greedy Coordinate Ascent Approach....Pages 196-212
Online Structural Graph Clustering Using Frequent Subgraph Mining....Pages 213-228
Large-Scale Support Vector Learning with Structural Kernels....Pages 229-244
Synchronization Based Outlier Detection....Pages 245-260
Laplacian Spectrum Learning....Pages 261-276
Complexity Bounds for Batch Active Learning in Classification....Pages 277-292
Semi-supervised Projection Clustering with Transferred Centroid Regularization....Pages 293-305
Permutation Testing Improves Bayesian Network Learning....Pages 306-321
Example-dependent Basis Vector Selection for Kernel-Based Classifiers....Pages 322-337
Surprising Patterns for the Call Duration Distribution of Mobile Phone Users....Pages 338-353
Variational Bayesian Mixture of Robust CCA Models....Pages 354-369
Adverse Drug Reaction Mining in Pharmacovigilance Data Using Formal Concept Analysis....Pages 370-385
Topic Models Conditioned on Relations....Pages 386-401
Shift-Invariant Grouped Multi-task Learning for Gaussian Processes....Pages 402-417
Nonparametric Bayesian Clustering Ensembles....Pages 418-434
Directed Graph Learning via High-Order Co-linkage Analysis....Pages 435-450
Incorporating Domain Models into Bayesian Optimization for RL....Pages 451-466
Efficient and Numerically Stable Sparse Learning....Pages 467-482
Fast Active Exploration for Link-Based Preference Learning Using Gaussian Processes....Pages 483-498
Many-to-Many Graph Matching: A Continuous Relaxation Approach....Pages 499-514
Competitive Online Generalized Linear Regression under Square Loss....Pages 515-530
Cross Validation Framework to Choose amongst Models and Datasets for Transfer Learning....Pages 531-546
Fast, Effective Molecular Feature Mining by Local Optimization....Pages 547-562
AnswerArt - Contextualized Question Answering....Pages 563-578
Real-Time News Recommender System....Pages 579-582
CET: A Tool for Creative Exploration of Graphs....Pages 583-586
NewsGist: A Multilingual Statistical News Summarizer....Pages 587-590
QUEST: Query Expansion Using Synonyms over Time....Pages 591-594
Flu Detector - Tracking Epidemics on Twitter....Pages 595-598
X-SDR: An Extensible Experimentation Suite for Dimensionality Reduction....Pages 599-602
KDTA: Automated Knowledge-Driven Text Annotation....Pages 603-606
Detecting Events in a Million New York Times Articles....Pages 607-610
Experience STORIES: A Visual News Search and Summarization System....Pages 611-614
Exploring Real Mobility Data with M-Atlas....Pages 615-618
Back Matter....Pages 619-623
....Pages 624-627