Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2008, Antwerp, Belgium, September 15-19, 2008, Proceedings

by Daelemans, Walter; Goethals, Bart; Morik, Katharina

• ISBN13: 9783540874805
• ISBN10: 3540874801
• Format: Paperback
• Copyright: 2008-10-01
• Publisher: Springer Verlag

Summary

This book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2008, held in Antwerp, Belgium, in September 2008. The 100 papers presented in two volumes, together with 5 invited talks, were carefully reviewed and selected from 521 submissions. In addition to the regular papers the volume contains 14 abstracts of papers appearing in full version in the Machine Learning Journal and the Knowledge Discovery and Databases Journal of Springer. 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. The topics addressed are application of machine learning and data mining methods to real-world problems, particularly exploratory research that describes novel learning and mining tasks and applications requiring non-standard techniques.

Table of Contents

Regular Papers
Exceptional Model Mining	p. 1
A Joint Topic and Perspective Model for Ideological Discourse	p. 17
Effective Pruning Techniques for Mining Quasi-Cliques	p. 33
Efficient Pairwise Multilabel Classification for Large-Scale Problems in the Legal Domain	p. 50
Fitted Natural Actor-Critic: A New Algorithm for Continuous State-Action MDPs	p. 66
A New Natural Policy Gradient by Stationary Distribution Metric	p. 82
Towards Machine Learning of Grammars and Compilers of Programming Languages	p. 98
Improving Classification with Pairwise Constraints: A Margin-Based Approach	p. 113
Metric Learning: A Support Vector Approach	p. 125
Support Vector Machines, Data Reduction, and Approximate Kernel Matrices	p. 137
Mixed Bregman Clustering with Approximation Guarantees	p. 154
Hierarchical, Parameter-Free Community Discovery	p. 170
A Genetic Algorithm for Text Classification Rule Induction	p. 188
Nonstationary Gaussian Process Regression Using Point Estimates of Local Smoothness	p. 204
Kernel-Based Inductive Transfer	p. 220
State-Dependent Exploration for Policy Gradient Methods	p. 234
Client-Friendly Classification over Random Hyperplane Hashes	p. 250
Large-Scale Clustering through Functional Embedding	p. 266
Clustering Distributed Sensor Data Streams	p. 282
A Novel Scalable and Data Efficient Feature Subset Selection Algorithm	p. 298
Robust Feature Selection Using Ensemble Feature Selection Techniques	p. 313
Effective Visualization of Information Diffusion Process over Complex Networks	p. 326
Actively Transfer Domain Knowledge	p. 342
A Unified View of Matrix Factorization Models	p. 358
Parallel Spectral Clustering	p. 374
Classification of Multi-labeled Data: A Generative Approach	p. 390
Pool-Based Agnostic Experiment Design in Linear Regression	p. 406
Distribution-Free Learning of Bayesian Network Structure	p. 423
Assessing Nonlinear Granger Causality from Multivariate Time Series	p. 440
Clustering Via Local Regression	p. 456
Decomposable Families of Itemsets	p. 472
Transferring Instances for Model-Based Reinforcement Learning	p. 488
A Simple Model for Sequences of Relational State Descriptions	p. 506
Semi-supervised Boosting for Multi-Class Classification	p. 522
A Joint Segmenting and Labeling Approach for Chinese Lexical Analysis	p. 538
Transferred Dimensionality Reduction	p. 550
Multiple Manifolds Learning Framework Based on Hierarchical Mixture Density Model	p. 566
Estimating Sales Opportunity Using Similarity-Based Methods	p. 582
Learning MDP Action Models Via Discrete Mixture Trees	p. 597
Continuous Time Bayesian Networks for Host Level Network Intrusion Detection	p. 613
Data Streaming with Affinity Propagation	p. 628
Semi-supervised Discriminant Analysis Via CCCP	p. 644
Demo Papers
A Visualization-Based Exploratory Technique for Classifier Comparison with Respect to Multiple Metrics and Multiple Domains	p. 660
Pleiades: Subspace Clustering and Evaluation	p. 666
SEDiL: Software for Edit Distance Learning	p. 672
Monitoring Patterns through an Integrated Management and Mining Tool	p. 678
A Knowledge-Based Digital Dashboard for Higher Learning Institutions	p. 684
SINDBAD and SiQL: An Inductive Database and Query Language in the Relational Model	p. 690
Author Index	p. 695
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