New Frontiers in Mining Complex Patterns First International Workshop, NFMCP 2012, Held in Conjunction with ECML/PKDD 2012, Bristol, UK, September 24, 2012, Revised Selected Papers /
This book constitutes the thoroughly refereed conference proceedings of the First International Workshop on New Frontiers in Mining Complex Patterns, NFMCP 2012, held in conjunction with ECML/PKDD 2012, in Bristol, UK, in September 2012. The 15 revised full papers were carefully reviewed and selecte...
Call Number: | Libro Electrónico |
---|---|
Corporate Author: | |
Other Authors: | , , , , , |
Format: | Electronic eBook |
Language: | Inglés |
Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2013.
|
Edition: | 1st ed. 2013. |
Series: | Lecture Notes in Artificial Intelligence,
7765 |
Subjects: | |
Online Access: | Texto Completo |
Table of Contents:
- Learning with Configurable Operators and RL-Based Heuristics.- Reducing Examples in Relational Learning with Bounded-Treewidth Hypotheses.- Mining Complex Event Patterns in Computer Networks
- Learning in the Presence of Large Fluctuations: A Study of Aggregation and Correlation
- Machine Learning as an Objective Approach to Understanding Music.- Pair-Based Object-Driven Action Rules
- Effectively Grouping Trajectory Streams.- Healthcare Trajectory Mining by Combining Multidimensional Component and Itemsets
- Graph-Based Approaches to Clustering Network-Constrained Trajectory Data
- Finding the Most Descriptive Substructures in Graphs with Discrete and Numeric Labels.- Learning in Probabilistic Graphs Exploiting Language-Constrained Patterns.- Improving Robustness and Flexibility of Concept Taxonomy Learning from Text.- Discovering Evolution Chains in Dynamic Networks.- Supporting Information Spread in a Social Internetworking Scenario.- Context-Aware Predictions on Business Processes: An Ensemble-Based Solution. Reducing Examples in Relational Learning with Bounded-Treewidth Hypotheses.- Mining Complex Event Patterns in Computer Networks
- Learning in the Presence of Large Fluctuations: A Study of Aggregation and Correlation
- Machine Learning as an Objective Approach to Understanding Music.- Pair-Based Object-Driven Action Rules
- Effectively Grouping Trajectory Streams.- Healthcare Trajectory Mining by Combining Multidimensional Component and Itemsets
- Graph-Based Approaches to Clustering Network-Constrained Trajectory Data
- Finding the Most Descriptive Substructures in Graphs with Discrete and Numeric Labels.- Learning in Probabilistic Graphs Exploiting Language-Constrained Patterns.- Improving Robustness and Flexibility of Concept Taxonomy Learning from Text.- Discovering Evolution Chains in Dynamic Networks.- Supporting Information Spread in a Social Internetworking Scenario.- Context-Aware Predictions on Business Processes: An Ensemble-Based Solution. .