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...

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Bibliographic Details
Call Number:Libro Electrónico
Corporate Author: SpringerLink (Online service)
Other Authors: Appice, Annalisa (Editor), Ceci, Michelangelo (Editor), Loglisci, Corrado (Editor), Manco, Giuseppe (Editor), Masciari, Elio (Editor), Ras, Zbigniew (Editor)
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:
Data mining.
Database management.
Information storage and retrieval systems.
Artificial intelligence.
Data Mining and Knowledge Discovery.
Database Management.
Information Storage and Retrieval.
Artificial Intelligence.
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. .

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