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.

Format:

Book

Contributor:

Balcázar, José L., editor.

Bonchi, Francesco, editor.

Gionis, Aristides, editor.

Sebag, Michèle, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Lecture notes in computer science. Lecture notes in artificial intelligence ; 6322.

Lecture Notes in Artificial Intelligence ; 6322

Language:

English

Subjects (All):

Artificial intelligence.

Data structures (Computer science).

Application software.

Information storage and retrieval.

Database management.

Data mining.

Artificial Intelligence.

Data Structures and Information Theory.

Information Systems Applications (incl. Internet).

Information Storage and Retrieval.

Database Management.

Data Mining and Knowledge Discovery.

Local Subjects:

Artificial Intelligence.

Data Structures and Information Theory.

Information Systems Applications (incl. Internet).

Information Storage and Retrieval.

Database Management.

Data Mining and Knowledge Discovery.

Physical Description:

1 online resource (XXI, 518 pages) : 145 illustrations.

Edition:

First edition 2010.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2010.

System Details:

text file PDF

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.

Other Format:

Printed edition:

ISBN:

978-3-642-15883-4

9783642158834

Access Restriction:

Restricted for use by site license.