Machine Learning and Knowledge Discovery in Databases European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010. Proceedings, Part II / edited by José L. Balcázar, Francesco Bonchi, Aristides Gionis, Michèle Sebag.

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Bibliographic Details
Corporate Author:	SpringerLink (Online service)
Other Authors:	Balcázar, José L. (Editor), Bonchi, Francesco (Editor), Gionis, Aristides (Editor), Sebag, Michèle (Editor)
Format:	eBook
Language:	English
Published:	Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2010.
Edition:	1st ed. 2010.
Series:	Lecture Notes in Artificial Intelligence ; 6322 Springer eBook Collection.
Subjects:	Artificial intelligence. Data structures (Computer science). Application software. Information storage and retrieval. Database management. Data mining. Electronic resources (E-books)
Online Access:	Click to view e-book
Holy Cross Note:	Loaded electronically. Electronic access restricted to members of the Holy Cross Community.

Table of Contents:

Regular Papers
Bayesian Knowledge Corroboration with Logical Rules and User Feedback
Learning an Affine Transformation for Non-linear Dimensionality Reduction
NDPMine: Efficiently Mining Discriminative Numerical Features for Pattern-Based Classification
Hidden Conditional Ordinal Random Fields for Sequence Classification
A Unifying View of Multiple Kernel Learning
Evolutionary Dynamics of Regret Minimization
Recognition of Instrument Timbres in Real Polytimbral Audio Recordings
Finding Critical Nodes for Inhibiting Diffusion of Complex Contagions in Social Networks
Semi-supervised Abstraction-Augmented String Kernel for Multi-level Bio-Relation Extraction
Online Knowledge-Based Support Vector Machines
Learning with Randomized Majority Votes
Exploration in Relational Worlds
Efficient Confident Search in Large Review Corpora
Learning to Tag from Open Vocabulary Labels
A Robustness Measure of Association Rules
Automatic Model Adaptation for Complex Structured Domains
Collective Traffic Forecasting
On Detecting Clustered Anomalies Using SCiForest
Constrained Parameter Estimation for Semi-supervised Learning: The Case of the Nearest Mean Classifier
Online Learning in Adversarial Lipschitz Environments
Summarising Data by Clustering Items
Classification and Novel Class Detection of Data Streams in a Dynamic Feature Space
Latent Structure Pattern Mining
First-Order Bayes-Ball
Learning from Demonstration Using MDP Induced Metrics
Demand-Driven Tag Recommendation
Solving Structured Sparsity Regularization with Proximal Methods
Exploiting Causal Independence in Markov Logic Networks: Combining Undirected and Directed Models
Improved MinMax Cut Graph Clustering with Nonnegative Relaxation
Integrating Constraint Programming and Itemset Mining
Topic Modeling for Personalized Recommendation of Volatile Items
Conditional Ranking on Relational Data.

Machine Learning and Knowledge Discovery in Databases European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010. Proceedings, Part II / edited by José L. Balcázar, Francesco Bonchi, Aristides Gionis, Michèle Sebag.

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