6th International Workshop on Mining and Learning with Graphs (MLG), Helsinki 2008
21 Videos · Jul 4, 2008
About
Driven by application areas ranging from biology to the World Wide Web, research in Data Mining and Machine Learning is nowadays increasingly focusing on the analysis of structured data. Of particular interest is data that consists of interrelated parts or is characterized by collections of objects that are interrelated and linked together into complex graphs and structures. Following in the footsteps of the highly successful MLG workshops in the past, MLG 2008 again will be the premier forum for bringing together different sub-disciplines within Machine Learning and Data Mining that focus on the analysis of structured data. The workshop is actively seeking contributions dealing with all forms of structured data, including but not limited to graphs, trees, sequences, relations and networks.
Contributions are invited from all relevant disciplines, such as for example
- Statistical Relational Learning
- Inductive Logic Programming
- Kernel Methods for Structured Data
- Probabilistic Models for Structured Data
- Graph Mining
- (Multi-)relational Data Mining
- Methods for Structured Outputs
- Network Analysis
Videos
Session 1
Inferring the structure and scale of modular networks
Aug 25, 2008 3520 views
Combining near-optimal feature selection with gSpan
Aug 25, 2008 3909 views
Representative Subgraph Sampling using Markov Chain Monte Carlo Methods
Aug 25, 2008 5011 views
Min, Max and PTIME Anti-Monotonic Overlap Graph Measures
Aug 25, 2008 3108 views
Four graph partitioning algorithms
Aug 25, 2008 5687 views
Session 2
Influence and Correlation in Social Networks
Aug 25, 2008 10538 views
An Online Algorithm for Learning a Labeling of a Graph
Aug 25, 2008 3106 views
Classification in Graphs using Discriminative Random Walks
Aug 25, 2008 4534 views
Induction of Node Label Controlled Graph Grammar Rules
Aug 25, 2008 4403 views
Poster Spotlights
Aug 25, 2008 2668 views
A New Kernel for Classification of Networked Entitiess
Aug 25, 2008 3083 views
Session 3
Structured Output Prediction with Structural SVMs
Aug 25, 2008 24361 views
Structure and tie strengths in a mobile communication network
Aug 25, 2008 4204 views
Improved Software Fault Detection with Graph Mining
Aug 25, 2008 4637 views
Efficient Discriminative Training Method for Structured Predictions
Aug 25, 2008 3454 views
Session 4
Biomine search engine for probabilistic graphs
Aug 25, 2008 2967 views
Markov Logic Improves Protein β-Partners Prediction
Aug 25, 2008 3164 views
A Hilbert-Schmidt Dependence Maximization Approach to Unsupervised Structure Dis...
Aug 25, 2008 4912 views
Infinite mixtures for multi-relational categorical data
Aug 25, 2008 3030 views
Parameter Learning in Probabilistic Databases: A Least Squares Approach
Aug 25, 2008 2975 views
Opening Remarks
Aug 25, 2008 2851 views